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produces a tier/platform/content all...\n\nTags: latest:19.0.0\n\nVersion history:\n\nv19.0.0 | 2026-07-24T14:18:31.951Z | auto\n\nVersion 19.0.0\n\n- Added new manifest file: `distribution-manifest.json`\n- Removed unused or redundant documentation files: `SKILL 2.md`, `references/templates 2.md`, and `skill-card.md`\n- Updated skill metadata to version 19.0.0 and revised/expanded the `description` field in `SKILL.md` (added Chinese: \"达人预算分配/投放预算优化\")\n- Minor housekeeping and cleanup of project documentation\n\nv18.0.0 | 2026-07-13T06:21:49.859Z | auto\n\nVersion 18.0.0 of budget-optimizer\n\n- Updated skill phase from \"plan\" to \"target\" in metadata.\n- Expanded metadata to include \"geo-relevance\".\n- Adjusted tags and category values to reflect new focus.\n- Added new documentation files and updated references to template locations.\n- Removed outdated file \"skill-card.md\".\n\nv17.0.0 | 2026-07-11T16:33:01.752Z | auto\n\n**Summary: Improved ad spend allocation logic, updated contract, and removed unused file.**\n\n- Enhanced cross-discipline ad spend allocation: now uses ROAS profile and declared CPA/payback for scenario modeling instead of CPM/CPE.\n- Updated skill contract and metadata to reflect new version.\n- Removed the unused skill-card.md file.\n- Refined documentation to clarify paid-ads logic and align with latest workflow steps.\n\nv16.0.0 | 2026-07-06T03:00:23.053Z | auto\n\nVersion 16.0.0\n\n- Updated version metadata in SKILL.md from 14.0.0 to 16.0.0.\n- No other content or logic changes detected.\n\nv14.0.0 | 2026-07-05T08:43:13.364Z | auto\n\n- Version 14.0.0 updates the skill description and metadata to reflect the new version.\n- The file skill-card.md has been removed.\n- SKILL.md has been updated to increment the version from 13.0.0 to 14.0.0 in both the metadata and the content.  \n- No changes to skill functionality or instructions were introduced.\n\nv13.0.0 | 2026-07-04T16:54:04.177Z | auto\n\nVersion 13.0.0 introduces a major content and instruction overhaul for budget-optimizer.\n\n- Expanded skill description with use cases, step-by-step process, and detailed contract.\n- Clearer guidelines for when and how to use the skill, including scenario modeling and mid-campaign budget reallocation.\n- Enhanced support for both influencer and paid-ads budget allocation, with explicit data source instructions.\n- Added detailed requirements for output: labeled metrics, contingency allocation, and promotion of approved scenarios.\n- Improved documentation on connectors, data labeling, and next skill handoff.\n\nArchive index:\n\nArchive v19.0.0: 5 files, 10560 bytes\n\nFiles: distribution-manifest.json (1174b), references/templates.md (11001b), skill-card.md (1888b), SKILL.md (10403b), _meta.json (136b)\n\nFile v19.0.0:SKILL.md\n\n---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner. 达人预算分配/投放预算优化'\nversion: \"19.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"19.0.0\", \"discipline\": \"influencer\", \"phase\": \"target\", \"geo-relevance\": \"low\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"target\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationale.\n- **Primary next skill**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the funded allocation into influencer outreach.\n\n### Handoff Summary\n\n> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).\n\n## Cross-discipline: ad spend allocation\n\nThis skill also allocates **paid-ads** spend — the tier/platform tables map to channels/campaigns; use the ROAS profile (`direct-response|prospecting|incremental-profit`) as the scenario axis and read its declared CPA/payback/contribution constraint instead of substituting CPM/CPE. Scope: this computes the spend-reallocation **plan** only. It does **not** read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to [budget-pacing-monitor](../../../ad/scale/budget-pacing-monitor/SKILL.md), and bid-strategy choice belongs to [bid-strategy-planner](../../../ad/orchestrate/bid-strategy-planner/SKILL.md). [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) reads one shipped change back against a control, and premature scaling is an **S guardrail flag** in [ad-account-auditor](../../../ad/activate/ad-account-auditor/SKILL.md), not a separate skill or a veto. Save paid runs under `memory/ad/budget-optimizer/`.\n\n## Data Sources\n\nThis family has no required live integrations (Tier 1). The skill works with nothing but the numbers you provide — give it your total budget, target platforms, and campaign goal, and it runs against the built-in cost benchmarks below.\n\nOptional connectors that sharpen the estimates when present:\n\n- `~~influencer database` — real rate cards instead of benchmark ranges.\n- `~~social platform analytics` — actual reach, CPM, and engagement to replace estimated projections.\n- `~~CRM` — past campaign spend and conversion data for ROI calibration.\n\nMark any connector-derived number Measured; mark benchmark-derived numbers Estimated; mark numbers you state as User-provided. See [CONNECTORS.md](../../../CONNECTORS.md) for the keyless data recipes.\n\n## Instructions\n\nWhen a user requests budget optimization, work these steps. Each step's fill-in template, benchmark table, and scenario block lives in [references/templates.md](references/templates.md) — copy the matching section and populate it.\n\n1. **Gather budget parameters** — campaign goal, audience, timeline, total budget, fixed vs influencer-available split, platform priorities, and constraints (max per influencer, min count). Intake template: [§Step 1](references/templates.md#step-1--budget-parameters-intake-template).\n2. **Analyze cost benchmarks** — apply the per-tier/per-platform rate tables (Instagram, TikTok, YouTube) and the industry cost multiplier. Tables: [§Step 2](references/templates.md#step-2--cost-benchmarks).\n3. **Create the allocation** — split across tier, platform, content type, and other items (gifting, amplification, tools, contingency); sum must reach 100% with a 5-10% contingency line. Template: [§Step 3](references/templates.md#step-3--budget-allocation-recommendation).\n4. **Project ROI** — expected reach/impressions/engagements/EMV, cost-efficiency (CPM/CPE/CPV/CPC vs industry avg), and a conversion funnel to ROAS when relevant. Label each metric Measured / User-provided / Estimated. Template: [§Step 4](references/templates.md#step-4--roi-projections).\n5. **Model scenarios** — Conservative / Recommended / Aggressive side-by-side, then name one recommended scenario with rationale. A/B/C blocks: [§Step 5](references/templates.md#step-5--budget-scenarios).\n6. **Optimization strategies** — cost-reduction levers, value-maximization moves, and budget red flags (e.g. >40% on a single influencer). Detail: [§Step 6](references/templates.md#step-6--optimization-strategies).\n7. **Mid-campaign reallocation** (when spend-to-date + per-influencer results are provided) — actual vs plan, top/under performers, and move budget from losers to winners. Template: [§Step 7](references/templates.md#step-7--mid-campaign-reallocation).\n\nSave the run to `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md` (paid-ads runs to `memory/ad/budget-optimizer/`); promote the approved total, chosen scenario, and locked tier mix to `memory/hot-cache.md`.\n\n## Example\n\n**User**: \"Optimize a $30,000 budget for a skincare product launch on Instagram and TikTok targeting Gen Z\"\n\n**Output**:\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\n## Reference Materials\n\n- Templates, cost benchmarks, scenario A/B/C blocks, optimization tips & second example: [references/templates.md](references/templates.md)\n- Shared contract: [skill-contract.md](../../../references/skill-contract.md)\n- Shared state model: [state-model.md](../../../references/state-model.md)\n- Connector recipes: [CONNECTORS.md](../../../CONNECTORS.md)\n- Sibling skills:\n  - [campaign-planner](../campaign-planner/SKILL.md) — the campaign plan this budget funds\n  - [influencer-discovery](../../scout/influencer-discovery/SKILL.md) — find influencers in budget range\n  - [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the allocation into outreach\n  - [roi-calculator](../../report/roi-calculator/SKILL.md) — calculate actual ROI post-campaign\n  - [performance-analyzer](../../report/performance-analyzer/SKILL.md) — inform reallocation decisions\n\n## Next Best Skill\n\n**Primary**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — once the allocation is funded and the tier mix is locked, move to recruiting the influencers it pays for.\n\n**Alternates** (same influencer family):\n\n- [influencer-discovery](../../scout/influencer-discovery/SKILL.md) — if you need to source candidates that fit each tier's per-influencer budget first.\n- [campaign-planner](../campaign-planner/SKILL.md) — if the budget exposed a gap in the underlying campaign plan.\n\n**Termination**: keep a visited-set. If the recommended next skill was already invoked in this session's chain, stop and report chain-complete instead of re-invoking. Default `max-depth: 3`. When routing is ambiguous, present the options and stop rather than auto-following.\n\nFile v19.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn73qjxwmbna25qq8q051epqt980sys5\",\n  \"slug\": \"budget-optimizer\",\n  \"version\": \"19.0.0\",\n  \"publishedAt\": 1784902711951\n}\n\nFile v19.0.0:references/templates.md\n\n# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |\n```\n\n## Step 4 — ROI Projections\n\n```markdown\n## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |\n```\n\n## Step 5 — Budget Scenarios\n\n```markdown\n## Budget Scenarios\n\n### Scenario Comparison\n\n| Factor | Conservative | Recommended | Aggressive |\n|--------|--------------|-------------|------------|\n| **Budget** | $[X] | $[Y] | $[Z] |\n| # Influencers | [#] | [#] | [#] |\n| Tier Mix | [mix] | [mix] | [mix] |\n| Est. Reach | [X] | [X] | [X] |\n| Est. Engagements | [X] | [X] | [X] |\n| Projected CPM | $[X] | $[X] | $[X] |\n| Projected ROI | [X]:1 | [X]:1 | [X]:1 |\n| Risk Level | Low | Medium | Higher |\n\n### Scenario A: Conservative ($[X])\n\n**Strategy**: Focus on proven micro-influencers with high engagement\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Lower risk; higher engagement rates; more content pieces.\n**Cons**: Limited reach; less brand awareness impact; slower momentum.\n\n---\n\n### Scenario B: Recommended ($[Y])\n\n**Strategy**: Balanced mix with macro anchor and micro support\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Balanced reach and engagement; credibility from macro names; volume from micro/nano.\n**Cons**: More complex management; medium budget commitment.\n\n---\n\n### Scenario C: Aggressive ($[Z])\n\n**Strategy**: Macro-heavy with celebrity/mega-influencer\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Mega | [#] | $[X] | [#] posts |\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n\n**Pros**: Maximum reach; strong brand association; potential viral moments.\n**Cons**: Higher cost per engagement; concentration risk; less authentic feel.\n\n---\n\n### Recommendation\n\n**Recommended Scenario**: [Scenario X]\n**Rationale**: [Why this scenario best meets campaign goals]\n```\n\n## Step 6 — Optimization Strategies\n\n```markdown\n## Budget Optimization Strategies\n\n### Cost Reduction Strategies\n\n| Strategy | Potential Savings | Trade-offs |\n|----------|-------------------|------------|\n| Negotiate multi-post deals | 15-25% | Commitment required |\n| Product-only compensation | 50-80% | Limited to nano/small micro |\n| Affiliate-heavy model | Variable | Performance-dependent |\n| Long-term ambassadors | 20-30% | Less variety |\n| Emerging influencers | 40-60% | Less proven |\n| Off-peak timing | 10-20% | Less competitive periods |\n\n### Value Maximization Strategies\n\n1. **Bundle deliverables**: Negotiate package deals (e.g. \"Post + Stories + Reel\" vs. separate pricing). Typical savings: 15-20%.\n2. **Usage rights negotiation**: Get whitelisting and repurposing rights — value add without major cost increase.\n3. **Performance incentives**: Base fee + performance bonus to align interests and motivate quality content.\n4. **Content amplification**: Allocate 10-20% for paid amplification to extend reach of best content.\n5. **UGC rights**: Negotiate perpetual rights to repurpose across channels.\n\n### Budget Red Flags\n\n- >40% of budget on a single influencer\n- CPM significantly above industry average\n- No contingency allocated\n- All budget on unproven creators\n- Ignoring content amplification\n```\n\n## Step 7 — Mid-Campaign Reallocation\n\n```markdown\n## Mid-Campaign Budget Reallocation\n\n### Current Performance vs. Plan\n\n| Metric | Planned | Actual | Variance | Action |\n|--------|---------|--------|----------|--------|\n| Spend to Date | $[X] | $[X] | [%] | [action] |\n| Content Live | [#] | [#] | [%] | [action] |\n| Reach | [X] | [X] | [%] | [action] |\n| Engagement | [X] | [X] | [%] | [action] |\n| CPM | $[X] | $[X] | [%] | [action] |\n\n### Top Performers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle1] | $[X] | [results] | [X]:1 | Increase investment |\n| @[handle2] | $[X] | [results] | [X]:1 | Increase investment |\n\n### Underperformers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle3] | $[X] | [results] | [X]:1 | Reduce/cut |\n| @[handle4] | $[X] | [results] | [X]:1 | Reduce/cut |\n\n### Reallocation Recommendation\n\n| From | To | Amount | Rationale |\n|------|----|--------|-----------|\n| [Source] | [Destination] | $[X] | [why] |\n| [Source] | [Destination] | $[X] | [why] |\n\n**Expected Impact**: additional reach [X]; improved ROI [X]:1 → [Y]:1.\n```\n\n## Optimization tips\n\n1. **Don't put all eggs in one basket** — diversify across tiers.\n2. **Reserve amplification budget** — best content deserves reach.\n3. **Plan for contingency** — things change mid-campaign.\n4. **Negotiate packages** — multi-post deals save money.\n5. **Track cost efficiency** — CPM/CPE matter more than raw spend.\n\n## Second worked example — $30,000 skincare launch (Gen Z, IG + TikTok)\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29 · **Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nPrioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\nFile v19.0.0:skill-card.md\n\n## Description:\n\nBudget Optimizer helps agents allocate influencer marketing budgets across creator tiers, platforms, and content types, then compare ROI, CPM/CPE, and mid-campaign reallocation scenarios.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nMarketing operators and agents use this skill to split influencer or paid-ad budgets across tiers, platforms, content types, and scenarios. It is useful for planning new campaigns, justifying budget requests, and preparing mid-campaign reallocation recommendations.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill may save campaign budget recommendations and approved budget facts into workspace memory.\n\nMitigation: Avoid sensitive CRM or campaign-performance data unless the host memory and connector settings match the user's data-retention expectations.\n\n## Reference(s):\n\n- [Budget Optimizer templates and benchmarks](references/templates.md)\n- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/budget-optimizer)\n- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown tables and concise narrative recommendations]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May save budget recommendations and approved budget facts to workspace memory when used.]\n\n## Skill Version(s):\n\n19.0.0 (source: SKILL.md frontmatter and server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v19.0.0:distribution-manifest.json\n\n{\n  \"capabilities\": [\n    \"inline-delivery\",\n    \"canonical-state-read\"\n  ],\n  \"capability_ceiling\": \"lite\",\n  \"catalog_sha256\": \"6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940\",\n  \"files\": [\n    {\n      \"bytes\": 10403,\n      \"mode\": \"0644\",\n      \"path\": \"SKILL.md\",\n      \"sha256\": \"7dd19139f30ccdd89e51b493241fc2b52bc3f7e86e0a4415b280c6f2d8e7571b\"\n    },\n    {\n      \"bytes\": 11001,\n      \"mode\": \"0644\",\n      \"path\": \"references/templates.md\",\n      \"sha256\": \"7b6cedc8eb35bcfee0aef20023086249bfc9586633ec9e902d8be8a626fa17ec\"\n    }\n  ],\n  \"files_sha256\": \"4e4bad8f58ad4e9f9e7b5665dd455a59d833518fb19f0186d357013a1eb2c993\",\n  \"hash_algorithm\": \"sha256\",\n  \"kind\": \"standalone-skill\",\n  \"manifest_excludes\": [\n    \"distribution-manifest.json\"\n  ],\n  \"manifest_path\": \"distribution-manifest.json\",\n  \"package_ceiling\": {\n    \"max_bytes\": 1000000,\n    \"max_files\": 64\n  },\n  \"profile\": \"lite\",\n  \"profile_definition_sha256\": \"4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e\",\n  \"schema_version\": \"1.1\",\n  \"source\": {\n    \"commit\": \"f552620c278afddcb25d09637a0cfcc1ce48faf4\",\n    \"repository\": \"aaron-he-zhu/aaron-marketing-skills\"\n  }\n}\n\nArchive v18.0.0: 6 files, 18537 bytes\n\nFiles: references/templates 2.md (11001b), references/templates.md (11001b), SKILL 2.md (10365b), skill-card.md (2600b), SKILL.md (10365b), _meta.json (136b)\n\nFile v18.0.0:SKILL.md\n\n---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner.'\nversion: \"18.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"18.0.0\", \"discipline\": \"influencer\", \"phase\": \"target\", \"geo-relevance\": \"low\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"target\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationale.\n- **Primary next skill**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the funded allocation into influencer outreach.\n\n### Handoff Summary\n\n> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).\n\n## Cross-discipline: ad spend allocation\n\nThis skill also allocates **paid-ads** spend — the tier/platform tables map to channels/campaigns; use the ROAS profile (`direct-response|prospecting|incremental-profit`) as the scenario axis and read its declared CPA/payback/contribution constraint instead of substituting CPM/CPE. Scope: this computes the spend-reallocation **plan** only. It does **not** read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to [budget-pacing-monitor](../../../ad/scale/budget-pacing-monitor/SKILL.md), and bid-strategy choice belongs to [bid-strategy-planner](../../../ad/orchestrate/bid-strategy-planner/SKILL.md). [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) reads one shipped change back against a control, and premature scaling is an **S guardrail flag** in [ad-account-auditor](../../../ad/activate/ad-account-auditor/SKILL.md), not a separate skill or a veto. Save paid runs under `memory/ad/budget-optimizer/`.\n\n## Data Sources\n\nThis family has no required live integrations (Tier 1). The skill works with nothing but the numbers you provide — give it your total budget, target platforms, and campaign goal, and it runs against the built-in cost benchmarks below.\n\nOptional connectors that sharpen the estimates when present:\n\n- `~~influencer database` — real rate cards instead of benchmark ranges.\n- `~~social platform analytics` — actual reach, CPM, and engagement to replace estimated projections.\n- `~~CRM` — past campaign spend and conversion data for ROI calibration.\n\nMark any connector-derived number Measured; mark benchmark-derived numbers Estimated; mark numbers you state as User-provided. See [CONNECTORS.md](../../../CONNECTORS.md) for the keyless data recipes.\n\n## Instructions\n\nWhen a user requests budget optimization, work these steps. Each step's fill-in template, benchmark table, and scenario block lives in [references/templates.md](references/templates.md) — copy the matching section and populate it.\n\n1. **Gather budget parameters** — campaign goal, audience, timeline, total budget, fixed vs influencer-available split, platform priorities, and constraints (max per influencer, min count). Intake template: [§Step 1](references/templates.md#step-1--budget-parameters-intake-template).\n2. **Analyze cost benchmarks** — apply the per-tier/per-platform rate tables (Instagram, TikTok, YouTube) and the industry cost multiplier. Tables: [§Step 2](references/templates.md#step-2--cost-benchmarks).\n3. **Create the allocation** — split across tier, platform, content type, and other items (gifting, amplification, tools, contingency); sum must reach 100% with a 5-10% contingency line. Template: [§Step 3](references/templates.md#step-3--budget-allocation-recommendation).\n4. **Project ROI** — expected reach/impressions/engagements/EMV, cost-efficiency (CPM/CPE/CPV/CPC vs industry avg), and a conversion funnel to ROAS when relevant. Label each metric Measured / User-provided / Estimated. Template: [§Step 4](references/templates.md#step-4--roi-projections).\n5. **Model scenarios** — Conservative / Recommended / Aggressive side-by-side, then name one recommended scenario with rationale. A/B/C blocks: [§Step 5](references/templates.md#step-5--budget-scenarios).\n6. **Optimization strategies** — cost-reduction levers, value-maximization moves, and budget red flags (e.g. >40% on a single influencer). Detail: [§Step 6](references/templates.md#step-6--optimization-strategies).\n7. **Mid-campaign reallocation** (when spend-to-date + per-influencer results are provided) — actual vs plan, top/under performers, and move budget from losers to winners. Template: [§Step 7](references/templates.md#step-7--mid-campaign-reallocation).\n\nSave the run to `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md` (paid-ads runs to `memory/ad/budget-optimizer/`); promote the approved total, chosen scenario, and locked tier mix to `memory/hot-cache.md`.\n\n## Example\n\n**User**: \"Optimize a $30,000 budget for a skincare product launch on Instagram and TikTok targeting Gen Z\"\n\n**Output**:\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\n## Reference Materials\n\n- Templates, cost benchmarks, scenario A/B/C blocks, optimization tips & second example: [references/templates.md](references/templates.md)\n- Shared contract: [skill-contract.md](../../../references/skill-contract.md)\n- Shared state model: [state-model.md](../../../references/state-model.md)\n- Connector recipes: [CONNECTORS.md](../../../CONNECTORS.md)\n- Sibling skills:\n  - [campaign-planner](../campaign-planner/SKILL.md) — the campaign plan this budget funds\n  - [influencer-discovery](../../scout/influencer-discovery/SKILL.md) — find influencers in budget range\n  - [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the allocation into outreach\n  - [roi-calculator](../../report/roi-calculator/SKILL.md) — calculate actual ROI post-campaign\n  - [performance-analyzer](../../report/performance-analyzer/SKILL.md) — inform reallocation decisions\n\n## Next Best Skill\n\n**Primary**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — once the allocation is funded and the tier mix is locked, move to recruiting the influencers it pays for.\n\n**Alternates** (same influencer family):\n\n- [influencer-discovery](../../scout/influencer-discovery/SKILL.md) — if you need to source candidates that fit each tier's per-influencer budget first.\n- [campaign-planner](../campaign-planner/SKILL.md) — if the budget exposed a gap in the underlying campaign plan.\n\n**Termination**: keep a visited-set. If the recommended next skill was already invoked in this session's chain, stop and report chain-complete instead of re-invoking. Default `max-depth: 3`. When routing is ambiguous, present the options and stop rather than auto-following.\n\nFile v18.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn73qjxwmbna25qq8q051epqt980sys5\",\n  \"slug\": \"budget-optimizer\",\n  \"version\": \"18.0.0\",\n  \"publishedAt\": 1783923709859\n}\n\nFile v18.0.0:references/templates 2.md\n\n# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |\n```\n\n## Step 4 — ROI Projections\n\n```markdown\n## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |\n```\n\n## Step 5 — Budget Scenarios\n\n```markdown\n## Budget Scenarios\n\n### Scenario Comparison\n\n| Factor | Conservative | Recommended | Aggressive |\n|--------|--------------|-------------|------------|\n| **Budget** | $[X] | $[Y] | $[Z] |\n| # Influencers | [#] | [#] | [#] |\n| Tier Mix | [mix] | [mix] | [mix] |\n| Est. Reach | [X] | [X] | [X] |\n| Est. Engagements | [X] | [X] | [X] |\n| Projected CPM | $[X] | $[X] | $[X] |\n| Projected ROI | [X]:1 | [X]:1 | [X]:1 |\n| Risk Level | Low | Medium | Higher |\n\n### Scenario A: Conservative ($[X])\n\n**Strategy**: Focus on proven micro-influencers with high engagement\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Lower risk; higher engagement rates; more content pieces.\n**Cons**: Limited reach; less brand awareness impact; slower momentum.\n\n---\n\n### Scenario B: Recommended ($[Y])\n\n**Strategy**: Balanced mix with macro anchor and micro support\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Balanced reach and engagement; credibility from macro names; volume from micro/nano.\n**Cons**: More complex management; medium budget commitment.\n\n---\n\n### Scenario C: Aggressive ($[Z])\n\n**Strategy**: Macro-heavy with celebrity/mega-influencer\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Mega | [#] | $[X] | [#] posts |\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n\n**Pros**: Maximum reach; strong brand association; potential viral moments.\n**Cons**: Higher cost per engagement; concentration risk; less authentic feel.\n\n---\n\n### Recommendation\n\n**Recommended Scenario**: [Scenario X]\n**Rationale**: [Why this scenario best meets campaign goals]\n```\n\n## Step 6 — Optimization Strategies\n\n```markdown\n## Budget Optimization Strategies\n\n### Cost Reduction Strategies\n\n| Strategy | Potential Savings | Trade-offs |\n|----------|-------------------|------------|\n| Negotiate multi-post deals | 15-25% | Commitment required |\n| Product-only compensation | 50-80% | Limited to nano/small micro |\n| Affiliate-heavy model | Variable | Performance-dependent |\n| Long-term ambassadors | 20-30% | Less variety |\n| Emerging influencers | 40-60% | Less proven |\n| Off-peak timing | 10-20% | Less competitive periods |\n\n### Value Maximization Strategies\n\n1. **Bundle deliverables**: Negotiate package deals (e.g. \"Post + Stories + Reel\" vs. separate pricing). Typical savings: 15-20%.\n2. **Usage rights negotiation**: Get whitelisting and repurposing rights — value add without major cost increase.\n3. **Performance incentives**: Base fee + performance bonus to align interests and motivate quality content.\n4. **Content amplification**: Allocate 10-20% for paid amplification to extend reach of best content.\n5. **UGC rights**: Negotiate perpetual rights to repurpose across channels.\n\n### Budget Red Flags\n\n- >40% of budget on a single influencer\n- CPM significantly above industry average\n- No contingency allocated\n- All budget on unproven creators\n- Ignoring content amplification\n```\n\n## Step 7 — Mid-Campaign Reallocation\n\n```markdown\n## Mid-Campaign Budget Reallocation\n\n### Current Performance vs. Plan\n\n| Metric | Planned | Actual | Variance | Action |\n|--------|---------|--------|----------|--------|\n| Spend to Date | $[X] | $[X] | [%] | [action] |\n| Content Live | [#] | [#] | [%] | [action] |\n| Reach | [X] | [X] | [%] | [action] |\n| Engagement | [X] | [X] | [%] | [action] |\n| CPM | $[X] | $[X] | [%] | [action] |\n\n### Top Performers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle1] | $[X] | [results] | [X]:1 | Increase investment |\n| @[handle2] | $[X] | [results] | [X]:1 | Increase investment |\n\n### Underperformers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle3] | $[X] | [results] | [X]:1 | Reduce/cut |\n| @[handle4] | $[X] | [results] | [X]:1 | Reduce/cut |\n\n### Reallocation Recommendation\n\n| From | To | Amount | Rationale |\n|------|----|--------|-----------|\n| [Source] | [Destination] | $[X] | [why] |\n| [Source] | [Destination] | $[X] | [why] |\n\n**Expected Impact**: additional reach [X]; improved ROI [X]:1 → [Y]:1.\n```\n\n## Optimization tips\n\n1. **Don't put all eggs in one basket** — diversify across tiers.\n2. **Reserve amplification budget** — best content deserves reach.\n3. **Plan for contingency** — things change mid-campaign.\n4. **Negotiate packages** — multi-post deals save money.\n5. **Track cost efficiency** — CPM/CPE matter more than raw spend.\n\n## Second worked example — $30,000 skincare launch (Gen Z, IG + TikTok)\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29 · **Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nPrioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\nFile v18.0.0:references/templates.md\n\n# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |\n```\n\n## Step 4 — ROI Projections\n\n```markdown\n## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |\n```\n\n## Step 5 — Budget Scenarios\n\n```markdown\n## Budget Scenarios\n\n### Scenario Comparison\n\n| Factor | Conservative | Recommended | Aggressive |\n|--------|--------------|-------------|------------|\n| **Budget** | $[X] | $[Y] | $[Z] |\n| # Influencers | [#] | [#] | [#] |\n| Tier Mix | [mix] | [mix] | [mix] |\n| Est. Reach | [X] | [X] | [X] |\n| Est. Engagements | [X] | [X] | [X] |\n| Projected CPM | $[X] | $[X] | $[X] |\n| Projected ROI | [X]:1 | [X]:1 | [X]:1 |\n| Risk Level | Low | Medium | Higher |\n\n### Scenario A: Conservative ($[X])\n\n**Strategy**: Focus on proven micro-influencers with high engagement\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Lower risk; higher engagement rates; more content pieces.\n**Cons**: Limited reach; less brand awareness impact; slower momentum.\n\n---\n\n### Scenario B: Recommended ($[Y])\n\n**Strategy**: Balanced mix with macro anchor and micro support\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Balanced reach and engagement; credibility from macro names; volume from micro/nano.\n**Cons**: More complex management; medium budget commitment.\n\n---\n\n### Scenario C: Aggressive ($[Z])\n\n**Strategy**: Macro-heavy with celebrity/mega-influencer\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Mega | [#] | $[X] | [#] posts |\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n\n**Pros**: Maximum reach; strong brand association; potential viral moments.\n**Cons**: Higher cost per engagement; concentration risk; less authentic feel.\n\n---\n\n### Recommendation\n\n**Recommended Scenario**: [Scenario X]\n**Rationale**: [Why this scenario best meets campaign goals]\n```\n\n## Step 6 — Optimization Strategies\n\n```markdown\n## Budget Optimization Strategies\n\n### Cost Reduction Strategies\n\n| Strategy | Potential Savings | Trade-offs |\n|----------|-------------------|------------|\n| Negotiate multi-post deals | 15-25% | Commitment required |\n| Product-only compensation | 50-80% | Limited to nano/small micro |\n| Affiliate-heavy model | Variable | Performance-dependent |\n| Long-term ambassadors | 20-30% | Less variety |\n| Emerging influencers | 40-60% | Less proven |\n| Off-peak timing | 10-20% | Less competitive periods |\n\n### Value Maximization Strategies\n\n1. **Bundle deliverables**: Negotiate package deals (e.g. \"Post + Stories + Reel\" vs. separate pricing). Typical savings: 15-20%.\n2. **Usage rights negotiation**: Get whitelisting and repurposing rights — value add without major cost increase.\n3. **Performance incentives**: Base fee + performance bonus to align interests and motivate quality content.\n4. **Content amplification**: Allocate 10-20% for paid amplification to extend reach of best content.\n5. **UGC rights**: Negotiate perpetual rights to repurpose across channels.\n\n### Budget Red Flags\n\n- >40% of budget on a single influencer\n- CPM significantly above industry average\n- No contingency allocated\n- All budget on unproven creators\n- Ignoring content amplification\n```\n\n## Step 7 — Mid-Campaign Reallocation\n\n```markdown\n## Mid-Campaign Budget Reallocation\n\n### Current Performance vs. Plan\n\n| Metric | Planned | Actual | Variance | Action |\n|--------|---------|--------|----------|--------|\n| Spend to Date | $[X] | $[X] | [%] | [action] |\n| Content Live | [#] | [#] | [%] | [action] |\n| Reach | [X] | [X] | [%] | [action] |\n| Engagement | [X] | [X] | [%] | [action] |\n| CPM | $[X] | $[X] | [%] | [action] |\n\n### Top Performers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle1] | $[X] | [results] | [X]:1 | Increase investment |\n| @[handle2] | $[X] | [results] | [X]:1 | Increase investment |\n\n### Underperformers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle3] | $[X] | [results] | [X]:1 | Reduce/cut |\n| @[handle4] | $[X] | [results] | [X]:1 | Reduce/cut |\n\n### Reallocation Recommendation\n\n| From | To | Amount | Rationale |\n|------|----|--------|-----------|\n| [Source] | [Destination] | $[X] | [why] |\n| [Source] | [Destination] | $[X] | [why] |\n\n**Expected Impact**: additional reach [X]; improved ROI [X]:1 → [Y]:1.\n```\n\n## Optimization tips\n\n1. **Don't put all eggs in one basket** — diversify across tiers.\n2. **Reserve amplification budget** — best content deserves reach.\n3. **Plan for contingency** — things change mid-campaign.\n4. **Negotiate packages** — multi-post deals save money.\n5. **Track cost efficiency** — CPM/CPE matter more than raw spend.\n\n## Second worked example — $30,000 skincare launch (Gen Z, IG + TikTok)\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29 · **Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nPrioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\nFile v18.0.0:SKILL 2.md\n\n---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner.'\nversion: \"18.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"18.0.0\", \"discipline\": \"influencer\", \"phase\": \"target\", \"geo-relevance\": \"low\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"target\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationale.\n- **Primary next skill**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the funded allocation into influencer outreach.\n\n### Handoff Summary\n\n> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).\n\n## Cross-discipline: ad spend allocation\n\nThis skill also allocates **paid-ads** spend — the tier/platform tables map to channels/campaigns; use the ROAS profile (`direct-response|prospecting|incremental-profit`) as the scenario axis and read its declared CPA/payback/contribution constraint instead of substituting CPM/CPE. Scope: this computes the spend-reallocation **plan** only. It does **not** read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to [budget-pacing-monitor](../../../ad/scale/budget-pacing-monitor/SKILL.md), and bid-strategy choice belongs to [bid-strategy-planner](../../../ad/orchestrate/bid-strategy-planner/SKILL.md). [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) reads one shipped change back against a control, and premature scaling is an **S guardrail flag** in [ad-account-auditor](../../../ad/activate/ad-account-auditor/SKILL.md), not a separate skill or a veto. Save paid runs under `memory/ad/budget-optimizer/`.\n\n## Data Sources\n\nThis family has no required live integrations (Tier 1). The skill works with nothing but the numbers you provide — give it your total budget, target platforms, and campaign goal, and it runs against the built-in cost benchmarks below.\n\nOptional connectors that sharpen the estimates when present:\n\n- `~~influencer database` — real rate cards instead of benchmark ranges.\n- `~~social platform analytics` — actual reach, CPM, and engagement to replace estimated projections.\n- `~~CRM` — past campaign spend and conversion data for ROI calibration.\n\nMark any connector-derived number Measured; mark benchmark-derived numbers Estimated; mark numbers you state as User-provided. See [CONNECTORS.md](../../../CONNECTORS.md) for the keyless data recipes.\n\n## Instructions\n\nWhen a user requests budget optimization, work these steps. Each step's fill-in template, benchmark table, and scenario block lives in [references/templates.md](references/templates.md) — copy the matching section and populate it.\n\n1. **Gather budget parameters** — campaign goal, audience, timeline, total budget, fixed vs influencer-available split, platform priorities, and constraints (max per influencer, min count). Intake template: [§Step 1](references/templates.md#step-1--budget-parameters-intake-template).\n2. **Analyze cost benchmarks** — apply the per-tier/per-platform rate tables (Instagram, TikTok, YouTube) and the industry cost multiplier. Tables: [§Step 2](references/templates.md#step-2--cost-benchmarks).\n3. **Create the allocation** — split across tier, platform, content type, and other items (gifting, amplification, tools, contingency); sum must reach 100% with a 5-10% contingency line. Template: [§Step 3](references/templates.md#step-3--budget-allocation-recommendation).\n4. **Project ROI** — expected reach/impressions/engagements/EMV, cost-efficiency (CPM/CPE/CPV/CPC vs industry avg), and a conversion funnel to ROAS when relevant. Label each metric Measured / User-provided / Estimated. Template: [§Step 4](references/templates.md#step-4--roi-projections).\n5. **Model scenarios** — Conservative / Recommended / Aggressive side-by-side, then name one recommended scenario with rationale. A/B/C blocks: [§Step 5](references/templates.md#step-5--budget-scenarios).\n6. **Optimization strategies** — cost-reduction levers, value-maximization moves, and budget red flags (e.g. >40% on a single influencer). Detail: [§Step 6](references/templates.md#step-6--optimization-strategies).\n7. **Mid-campaign reallocation** (when spend-to-date + per-influencer results are provided) — actual vs plan, top/under performers, and move budget from losers to winners. Template: [§Step 7](references/templates.md#step-7--mid-campaign-reallocation).\n\nSave the run to `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md` (paid-ads runs to `memory/ad/budget-optimizer/`); promote the approved total, chosen scenario, and locked tier mix to `memory/hot-cache.md`.\n\n## Example\n\n**User**: \"Optimize a $30,000 budget for a skincare product launch on Instagram and TikTok targeting Gen Z\"\n\n**Output**:\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\n## Reference Materials\n\n- Templates, cost benchmarks, scenario A/B/C blocks, optimization tips & second example: [references/templates.md](references/templates.md)\n- Shared contract: [skill-contract.md](../../../references/skill-contract.md)\n- Shared state model: [state-model.md](../../../references/state-model.md)\n- Connector recipes: [CONNECTORS.md](../../../CONNECTORS.md)\n- Sibling skills:\n  - [campaign-planner](../campaign-planner/SKILL.md) — the campaign plan this budget funds\n  - [influencer-discovery](../../scout/influencer-discovery/SKILL.md) — find influencers in budget range\n  - [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the allocation into outreach\n  - [roi-calculator](../../report/roi-calculator/SKILL.md) — calculate actual ROI post-campaign\n  - [performance-analyzer](../../report/performance-analyzer/SKILL.md) — inform reallocation decisions\n\n## Next Best Skill\n\n**Primary**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — once the allocation is funded and the tier mix is locked, move to recruiting the influencers it pays for.\n\n**Alternates** (same influencer family):\n\n- [influencer-discovery](../../scout/influencer-discovery/SKILL.md) — if you need to source candidates that fit each tier's per-influencer budget first.\n- [campaign-planner](../campaign-planner/SKILL.md) — if the budget exposed a gap in the underlying campaign plan.\n\n**Termination**: keep a visited-set. If the recommended next skill was already invoked in this session's chain, stop and report chain-complete instead of re-invoking. Default `max-depth: 3`. When routing is ambiguous, present the options and stop rather than auto-following.\n\nFile v18.0.0:skill-card.md\n\n## Description: <br>\nUse when the user asks to allocate an influencer budget, optimize spend across tiers, or compare budget scenarios; it produces tier, platform, and content allocation tables, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nMarketing teams, agencies, and campaign operators use this skill to allocate influencer or paid-ad budgets across platforms, tiers, and content types, compare conservative and aggressive scenarios, and recommend reallocations during a campaign. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: ROI, CPM, CPE, and reach figures may be planning estimates when not backed by measured campaign data. <br>\nMitigation: Label figures as Measured, User-provided, or Estimated and review the assumptions before making budget commitments. <br>\nRisk: Optional CRM, influencer database, or social analytics inputs may expose sensitive campaign or customer performance data. <br>\nMitigation: Review connector access before use and limit inputs to approved data sources for the campaign. <br>\nRisk: The skill may save budget decisions and handoff summaries into local agent memory. <br>\nMitigation: Review generated memory files before sharing, deployment, or reuse in another campaign context. <br>\n\n\n## Reference(s): <br>\n- [Budget Optimizer templates and cost benchmarks](references/templates.md) <br>\n- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/budget-optimizer) <br>\n- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Guidance] <br>\n**Output Format:** [Markdown tables and concise narrative recommendations] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Outputs include estimated or measured budget allocations, cost-efficiency projections, scenario comparisons, optimization strategies, and local memory summaries when used by a compatible agent host.] <br>\n\n## Skill Version(s): <br>\n18.0.0 (source: server release metadata and frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v17.0.0: 4 files, 10007 bytes\n\nFiles: references/templates.md (11001b), skill-card.md (2547b), SKILL.md (10379b), _meta.json (136b)\n\nFile v17.0.0:SKILL.md\n\n---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner.'\nversion: \"17.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"17.0.0\", \"discipline\": \"influencer\", \"phase\": \"plan\", \"family\": \"influencer-marketing\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"plan\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationale.\n- **Primary next skill**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the funded allocation into influencer outreach.\n\n### Handoff Summary\n\n> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).\n\n## Cross-discipline: ad spend allocation\n\nThis skill also allocates **paid-ads** spend — the tier/platform tables map to channels/campaigns; use the ROAS profile (`direct-response|prospecting|incremental-profit`) as the scenario axis and read its declared CPA/payback/contribution constraint instead of substituting CPM/CPE. Scope: this computes the spend-reallocation **plan** only. It does **not** read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to [budget-pacing-monitor](../../../ad/scale/budget-pacing-monitor/SKILL.md), and bid-strategy choice belongs to [bid-strategy-planner](../../../ad/orchestrate/bid-strategy-planner/SKILL.md). [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) reads one shipped change back against a control, and premature scaling is an **S guardrail flag** in [ad-account-auditor](../../../ad/activate/ad-account-auditor/SKILL.md), not a separate skill or a veto. Save paid runs under `memory/ad/budget-optimizer/`.\n\n## Data Sources\n\nThis family has no required live integrations (Tier 1). The skill works with nothing but the numbers you provide — give it your total budget, target platforms, and campaign goal, and it runs against the built-in cost benchmarks below.\n\nOptional connectors that sharpen the estimates when present:\n\n- `~~influencer database` — real rate cards instead of benchmark ranges.\n- `~~social platform analytics` — actual reach, CPM, and engagement to replace estimated projections.\n- `~~CRM` — past campaign spend and conversion data for ROI calibration.\n\nMark any connector-derived number Measured; mark benchmark-derived numbers Estimated; mark numbers you state as User-provided. See [CONNECTORS.md](../../../CONNECTORS.md) for the keyless data recipes.\n\n## Instructions\n\nWhen a user requests budget optimization, work these steps. Each step's fill-in template, benchmark table, and scenario block lives in [references/templates.md](references/templates.md) — copy the matching section and populate it.\n\n1. **Gather budget parameters** — campaign goal, audience, timeline, total budget, fixed vs influencer-available split, platform priorities, and constraints (max per influencer, min count). Intake template: [§Step 1](references/templates.md#step-1--budget-parameters-intake-template).\n2. **Analyze cost benchmarks** — apply the per-tier/per-platform rate tables (Instagram, TikTok, YouTube) and the industry cost multiplier. Tables: [§Step 2](references/templates.md#step-2--cost-benchmarks).\n3. **Create the allocation** — split across tier, platform, content type, and other items (gifting, amplification, tools, contingency); sum must reach 100% with a 5-10% contingency line. Template: [§Step 3](references/templates.md#step-3--budget-allocation-recommendation).\n4. **Project ROI** — expected reach/impressions/engagements/EMV, cost-efficiency (CPM/CPE/CPV/CPC vs industry avg), and a conversion funnel to ROAS when relevant. Label each metric Measured / User-provided / Estimated. Template: [§Step 4](references/templates.md#step-4--roi-projections).\n5. **Model scenarios** — Conservative / Recommended / Aggressive side-by-side, then name one recommended scenario with rationale. A/B/C blocks: [§Step 5](references/templates.md#step-5--budget-scenarios).\n6. **Optimization strategies** — cost-reduction levers, value-maximization moves, and budget red flags (e.g. >40% on a single influencer). Detail: [§Step 6](references/templates.md#step-6--optimization-strategies).\n7. **Mid-campaign reallocation** (when spend-to-date + per-influencer results are provided) — actual vs plan, top/under performers, and move budget from losers to winners. Template: [§Step 7](references/templates.md#step-7--mid-campaign-reallocation).\n\nSave the run to `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md` (paid-ads runs to `memory/ad/budget-optimizer/`); promote the approved total, chosen scenario, and locked tier mix to `memory/hot-cache.md`.\n\n## Example\n\n**User**: \"Optimize a $30,000 budget for a skincare product launch on Instagram and TikTok targeting Gen Z\"\n\n**Output**:\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\n## Reference Materials\n\n- Templates, cost benchmarks, scenario A/B/C blocks, optimization tips & second example: [references/templates.md](references/templates.md)\n- Shared contract: [skill-contract.md](../../../references/skill-contract.md)\n- Shared state model: [state-model.md](../../../references/state-model.md)\n- Connector recipes: [CONNECTORS.md](../../../CONNECTORS.md)\n- Sibling skills:\n  - [campaign-planner](../campaign-planner/SKILL.md) — the campaign plan this budget funds\n  - [influencer-discovery](../../discover/influencer-discovery/SKILL.md) — find influencers in budget range\n  - [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the allocation into outreach\n  - [roi-calculator](../../measure/roi-calculator/SKILL.md) — calculate actual ROI post-campaign\n  - [performance-analyzer](../../measure/performance-analyzer/SKILL.md) — inform reallocation decisions\n\n## Next Best Skill\n\n**Primary**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — once the allocation is funded and the tier mix is locked, move to recruiting the influencers it pays for.\n\n**Alternates** (same influencer family):\n\n- [influencer-discovery](../../discover/influencer-discovery/SKILL.md) — if you need to source candidates that fit each tier's per-influencer budget first.\n- [campaign-planner](../campaign-planner/SKILL.md) — if the budget exposed a gap in the underlying campaign plan.\n\n**Termination**: keep a visited-set. If the recommended next skill was already invoked in this session's chain, stop and report chain-complete instead of re-invoking. Default `max-depth: 3`. When routing is ambiguous, present the options and stop rather than auto-following.\n\nFile v17.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn73qjxwmbna25qq8q051epqt980sys5\",\n  \"slug\": \"budget-optimizer\",\n  \"version\": \"17.0.0\",\n  \"publishedAt\": 1783787581752\n}\n\nFile v17.0.0:references/templates.md\n\n# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |\n```\n\n## Step 4 — ROI Projections\n\n```markdown\n## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |\n```\n\n## Step 5 — Budget Scenarios\n\n```markdown\n## Budget Scenarios\n\n### Scenario Comparison\n\n| Factor | Conservative | Recommended | Aggressive |\n|--------|--------------|-------------|------------|\n| **Budget** | $[X] | $[Y] | $[Z] |\n| # Influencers | [#] | [#] | [#] |\n| Tier Mix | [mix] | [mix] | [mix] |\n| Est. Reach | [X] | [X] | [X] |\n| Est. Engagements | [X] | [X] | [X] |\n| Projected CPM | $[X] | $[X] | $[X] |\n| Projected ROI | [X]:1 | [X]:1 | [X]:1 |\n| Risk Level | Low | Medium | Higher |\n\n### Scenario A: Conservative ($[X])\n\n**Strategy**: Focus on proven micro-influencers with high engagement\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Lower risk; higher engagement rates; more content pieces.\n**Cons**: Limited reach; less brand awareness impact; slower momentum.\n\n---\n\n### Scenario B: Recommended ($[Y])\n\n**Strategy**: Balanced mix with macro anchor and micro support\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Balanced reach and engagement; credibility from macro names; volume from micro/nano.\n**Cons**: More complex management; medium budget commitment.\n\n---\n\n### Scenario C: Aggressive ($[Z])\n\n**Strategy**: Macro-heavy with celebrity/mega-influencer\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Mega | [#] | $[X] | [#] posts |\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n\n**Pros**: Maximum reach; strong brand association; potential viral moments.\n**Cons**: Higher cost per engagement; concentration risk; less authentic feel.\n\n---\n\n### Recommendation\n\n**Recommended Scenario**: [Scenario X]\n**Rationale**: [Why this scenario best meets campaign goals]\n```\n\n## Step 6 — Optimization Strategies\n\n```markdown\n## Budget Optimization Strategies\n\n### Cost Reduction Strategies\n\n| Strategy | Potential Savings | Trade-offs |\n|----------|-------------------|------------|\n| Negotiate multi-post deals | 15-25% | Commitment required |\n| Product-only compensation | 50-80% | Limited to nano/small micro |\n| Affiliate-heavy model | Variable | Performance-dependent |\n| Long-term ambassadors | 20-30% | Less variety |\n| Emerging influencers | 40-60% | Less proven |\n| Off-peak timing | 10-20% | Less competitive periods |\n\n### Value Maximization Strategies\n\n1. **Bundle deliverables**: Negotiate package deals (e.g. \"Post + Stories + Reel\" vs. separate pricing). Typical savings: 15-20%.\n2. **Usage rights negotiation**: Get whitelisting and repurposing rights — value add without major cost increase.\n3. **Performance incentives**: Base fee + performance bonus to align interests and motivate quality content.\n4. **Content amplification**: Allocate 10-20% for paid amplification to extend reach of best content.\n5. **UGC rights**: Negotiate perpetual rights to repurpose across channels.\n\n### Budget Red Flags\n\n- >40% of budget on a single influencer\n- CPM significantly above industry average\n- No contingency allocated\n- All budget on unproven creators\n- Ignoring content amplification\n```\n\n## Step 7 — Mid-Campaign Reallocation\n\n```markdown\n## Mid-Campaign Budget Reallocation\n\n### Current Performance vs. Plan\n\n| Metric | Planned | Actual | Variance | Action |\n|--------|---------|--------|----------|--------|\n| Spend to Date | $[X] | $[X] | [%] | [action] |\n| Content Live | [#] | [#] | [%] | [action] |\n| Reach | [X] | [X] | [%] | [action] |\n| Engagement | [X] | [X] | [%] | [action] |\n| CPM | $[X] | $[X] | [%] | [action] |\n\n### Top Performers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle1] | $[X] | [results] | [X]:1 | Increase investment |\n| @[handle2] | $[X] | [results] | [X]:1 | Increase investment |\n\n### Underperformers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle3] | $[X] | [results] | [X]:1 | Reduce/cut |\n| @[handle4] | $[X] | [results] | [X]:1 | Reduce/cut |\n\n### Reallocation Recommendation\n\n| From | To | Amount | Rationale |\n|------|----|--------|-----------|\n| [Source] | [Destination] | $[X] | [why] |\n| [Source] | [Destination] | $[X] | [why] |\n\n**Expected Impact**: additional reach [X]; improved ROI [X]:1 → [Y]:1.\n```\n\n## Optimization tips\n\n1. **Don't put all eggs in one basket** — diversify across tiers.\n2. **Reserve amplification budget** — best content deserves reach.\n3. **Plan for contingency** — things change mid-campaign.\n4. **Negotiate packages** — multi-post deals save money.\n5. **Track cost efficiency** — CPM/CPE matter more than raw spend.\n\n## Second worked example — $30,000 skincare launch (Gen Z, IG + TikTok)\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29 · **Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nPrioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\nFile v17.0.0:skill-card.md\n\n## Description: <br>\nHelps agents allocate influencer marketing budgets across tiers, platforms, and content types, compare scenarios, project ROI and cost efficiency, and recommend mid-campaign reallocations. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nMarketing teams and agents use this skill to split influencer or paid-ads budgets across creator tiers, platforms, content types, and contingency lines. It supports scenario comparison, ROI and CPM/CPE projection, budget request justification, and mid-campaign reallocation planning. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Campaign budgets, chosen scenarios, tier mixes, and planning outputs may be saved in agent memory paths. <br>\nMitigation: Use the skill only when those planning details may be retained, and review or delete saved memory when campaign data is confidential or temporary. <br>\nRisk: Optional CRM, influencer database, or analytics inputs can expose measured campaign details in budget projections. <br>\nMitigation: Connect those data sources only when measured campaign details are intended for use in the planning output. <br>\nRisk: Benchmark-derived projections can be mistaken for measured performance. <br>\nMitigation: Keep every projected metric labeled as Measured, User-provided, or Estimated before using the recommendation for spend decisions. <br>\n\n\n## Reference(s): <br>\n- [Budget Optimizer templates and benchmarks](artifact/references/templates.md) <br>\n- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/budget-optimizer) <br>\n- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown tables and narrative recommendations] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May save campaign planning outputs and approved durable facts to agent memory paths when the host supports memory.] <br>\n\n## Skill Version(s): <br>\n17.0.0 (source: server release metadata and skill frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v16.0.0: 4 files, 9945 bytes\n\nFiles: references/templates.md (11001b), skill-card.md (2550b), SKILL.md (10307b), _meta.json (136b)\n\nFile v16.0.0:SKILL.md\n\n---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner.'\nversion: \"16.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"16.0.0\", \"discipline\": \"influencer\", \"phase\": \"plan\", \"family\": \"influencer-marketing\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"plan\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationale.\n- **Primary next skill**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the funded allocation into influencer outreach.\n\n### Handoff Summary\n\n> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).\n\n## Cross-discipline: ad spend allocation\n\nThis skill also allocates **paid-ads** spend — the tier/platform tables map to channels/campaigns; use the ROAS goal-weight (DR vs Prospecting) as the scenario axis and read CPA/ROAS targets instead of CPM/CPE. Scope: this computes the spend-reallocation **plan** only. It does **not** read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to [budget-pacing-monitor](../../../ad/scale/budget-pacing-monitor/SKILL.md), and bid-strategy choice belongs to [bid-strategy-planner](../../../ad/orchestrate/bid-strategy-planner/SKILL.md). [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) reads one shipped change back against a control, and premature scaling is an **S guardrail flag** in [ad-account-auditor](../../../ad/activate/ad-account-auditor/SKILL.md), not a separate skill or a veto. Save paid runs under `memory/ad/budget-optimizer/`.\n\n## Data Sources\n\nThis family has no required live integrations (Tier 1). The skill works with nothing but the numbers you provide — give it your total budget, target platforms, and campaign goal, and it runs against the built-in cost benchmarks below.\n\nOptional connectors that sharpen the estimates when present:\n\n- `~~influencer database` — real rate cards instead of benchmark ranges.\n- `~~social platform analytics` — actual reach, CPM, and engagement to replace estimated projections.\n- `~~CRM` — past campaign spend and conversion data for ROI calibration.\n\nMark any connector-derived number Measured; mark benchmark-derived numbers Estimated; mark numbers you state as User-provided. See [CONNECTORS.md](../../../CONNECTORS.md) for the keyless data recipes.\n\n## Instructions\n\nWhen a user requests budget optimization, work these steps. Each step's fill-in template, benchmark table, and scenario block lives in [references/templates.md](references/templates.md) — copy the matching section and populate it.\n\n1. **Gather budget parameters** — campaign goal, audience, timeline, total budget, fixed vs influencer-available split, platform priorities, and constraints (max per influencer, min count). Intake template: [§Step 1](references/templates.md#step-1--budget-parameters-intake-template).\n2. **Analyze cost benchmarks** — apply the per-tier/per-platform rate tables (Instagram, TikTok, YouTube) and the industry cost multiplier. Tables: [§Step 2](references/templates.md#step-2--cost-benchmarks).\n3. **Create the allocation** — split across tier, platform, content type, and other items (gifting, amplification, tools, contingency); sum must reach 100% with a 5-10% contingency line. Template: [§Step 3](references/templates.md#step-3--budget-allocation-recommendation).\n4. **Project ROI** — expected reach/impressions/engagements/EMV, cost-efficiency (CPM/CPE/CPV/CPC vs industry avg), and a conversion funnel to ROAS when relevant. Label each metric Measured / User-provided / Estimated. Template: [§Step 4](references/templates.md#step-4--roi-projections).\n5. **Model scenarios** — Conservative / Recommended / Aggressive side-by-side, then name one recommended scenario with rationale. A/B/C blocks: [§Step 5](references/templates.md#step-5--budget-scenarios).\n6. **Optimization strategies** — cost-reduction levers, value-maximization moves, and budget red flags (e.g. >40% on a single influencer). Detail: [§Step 6](references/templates.md#step-6--optimization-strategies).\n7. **Mid-campaign reallocation** (when spend-to-date + per-influencer results are provided) — actual vs plan, top/under performers, and move budget from losers to winners. Template: [§Step 7](references/templates.md#step-7--mid-campaign-reallocation).\n\nSave the run to `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md` (paid-ads runs to `memory/ad/budget-optimizer/`); promote the approved total, chosen scenario, and locked tier mix to `memory/hot-cache.md`.\n\n## Example\n\n**User**: \"Optimize a $30,000 budget for a skincare product launch on Instagram and TikTok targeting Gen Z\"\n\n**Output**:\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\n## Reference Materials\n\n- Templates, cost benchmarks, scenario A/B/C blocks, optimization tips & second example: [references/templates.md](references/templates.md)\n- Shared contract: [skill-contract.md](../../../references/skill-contract.md)\n- Shared state model: [state-model.md](../../../references/state-model.md)\n- Connector recipes: [CONNECTORS.md](../../../CONNECTORS.md)\n- Sibling skills:\n  - [campaign-planner](../campaign-planner/SKILL.md) — the campaign plan this budget funds\n  - [influencer-discovery](../../discover/influencer-discovery/SKILL.md) — find influencers in budget range\n  - [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the allocation into outreach\n  - [roi-calculator](../../measure/roi-calculator/SKILL.md) — calculate actual ROI post-campaign\n  - [performance-analyzer](../../measure/performance-analyzer/SKILL.md) — inform reallocation decisions\n\n## Next Best Skill\n\n**Primary**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — once the allocation is funded and the tier mix is locked, move to recruiting the influencers it pays for.\n\n**Alternates** (same influencer family):\n\n- [influencer-discovery](../../discover/influencer-discovery/SKILL.md) — if you need to source candidates that fit each tier's per-influencer budget first.\n- [campaign-planner](../campaign-planner/SKILL.md) — if the budget exposed a gap in the underlying campaign plan.\n\n**Termination**: keep a visited-set. If the recommended next skill was already invoked in this session's chain, stop and report chain-complete instead of re-invoking. Default `max-depth: 3`. When routing is ambiguous, present the options and stop rather than auto-following.\n\nFile v16.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn73qjxwmbna25qq8q051epqt980sys5\",\n  \"slug\": \"budget-optimizer\",\n  \"version\": \"16.0.0\",\n  \"publishedAt\": 1783306823053\n}\n\nFile v16.0.0:references/templates.md\n\n# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |\n```\n\n## Step 4 — ROI Projections\n\n```markdown\n## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |\n```\n\n## Step 5 — Budget Scenarios\n\n```markdown\n## Budget Scenarios\n\n### Scenario Comparison\n\n| Factor | Conservative | Recommended | Aggressive |\n|--------|--------------|-------------|------------|\n| **Budget** | $[X] | $[Y] | $[Z] |\n| # Influencers | [#] | [#] | [#] |\n| Tier Mix | [mix] | [mix] | [mix] |\n| Est. Reach | [X] | [X] | [X] |\n| Est. Engagements | [X] | [X] | [X] |\n| Projected CPM | $[X] | $[X] | $[X] |\n| Projected ROI | [X]:1 | [X]:1 | [X]:1 |\n| Risk Level | Low | Medium | Higher |\n\n### Scenario A: Conservative ($[X])\n\n**Strategy**: Focus on proven micro-influencers with high engagement\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Lower risk; higher engagement rates; more content pieces.\n**Cons**: Limited reach; less brand awareness impact; slower momentum.\n\n---\n\n### Scenario B: Recommended ($[Y])\n\n**Strategy**: Balanced mix with macro anchor and micro support\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Balanced reach and engagement; credibility from macro names; volume from micro/nano.\n**Cons**: More complex management; medium budget commitment.\n\n---\n\n### Scenario C: Aggressive ($[Z])\n\n**Strategy**: Macro-heavy with celebrity/mega-influencer\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Mega | [#] | $[X] | [#] posts |\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n\n**Pros**: Maximum reach; strong brand association; potential viral moments.\n**Cons**: Higher cost per engagement; concentration risk; less authentic feel.\n\n---\n\n### Recommendation\n\n**Recommended Scenario**: [Scenario X]\n**Rationale**: [Why this scenario best meets campaign goals]\n```\n\n## Step 6 — Optimization Strategies\n\n```markdown\n## Budget Optimization Strategies\n\n### Cost Reduction Strategies\n\n| Strategy | Potential Savings | Trade-offs |\n|----------|-------------------|------------|\n| Negotiate multi-post deals | 15-25% | Commitment required |\n| Product-only compensation | 50-80% | Limited to nano/small micro |\n| Affiliate-heavy model | Variable | Performance-dependent |\n| Long-term ambassadors | 20-30% | Less variety |\n| Emerging influencers | 40-60% | Less proven |\n| Off-peak timing | 10-20% | Less competitive periods |\n\n### Value Maximization Strategies\n\n1. **Bundle deliverables**: Negotiate package deals (e.g. \"Post + Stories + Reel\" vs. separate pricing). Typical savings: 15-20%.\n2. **Usage rights negotiation**: Get whitelisting and repurposing rights — value add without major cost increase.\n3. **Performance incentives**: Base fee + performance bonus to align interests and motivate quality content.\n4. **Content amplification**: Allocate 10-20% for paid amplification to extend reach of best content.\n5. **UGC rights**: Negotiate perpetual rights to repurpose across channels.\n\n### Budget Red Flags\n\n- >40% of budget on a single influencer\n- CPM significantly above industry average\n- No contingency allocated\n- All budget on unproven creators\n- Ignoring content amplification\n```\n\n## Step 7 — Mid-Campaign Reallocation\n\n```markdown\n## Mid-Campaign Budget Reallocation\n\n### Current Performance vs. Plan\n\n| Metric | Planned | Actual | Variance | Action |\n|--------|---------|--------|----------|--------|\n| Spend to Date | $[X] | $[X] | [%] | [action] |\n| Content Live | [#] | [#] | [%] | [action] |\n| Reach | [X] | [X] | [%] | [action] |\n| Engagement | [X] | [X] | [%] | [action] |\n| CPM | $[X] | $[X] | [%] | [action] |\n\n### Top Performers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle1] | $[X] | [results] | [X]:1 | Increase investment |\n| @[handle2] | $[X] | [results] | [X]:1 | Increase investment |\n\n### Underperformers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle3] | $[X] | [results] | [X]:1 | Reduce/cut |\n| @[handle4] | $[X] | [results] | [X]:1 | Reduce/cut |\n\n### Reallocation Recommendation\n\n| From | To | Amount | Rationale |\n|------|----|--------|-----------|\n| [Source] | [Destination] | $[X] | [why] |\n| [Source] | [Destination] | $[X] | [why] |\n\n**Expected Impact**: additional reach [X]; improved ROI [X]:1 → [Y]:1.\n```\n\n## Optimization tips\n\n1. **Don't put all eggs in one basket** — diversify across tiers.\n2. **Reserve amplification budget** — best content deserves reach.\n3. **Plan for contingency** — things change mid-campaign.\n4. **Negotiate packages** — multi-post deals save money.\n5. **Track cost efficiency** — CPM/CPE matter more than raw spend.\n\n## Second worked example — $30,000 skincare launch (Gen Z, IG + TikTok)\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29 · **Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nPrioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\nFile v16.0.0:skill-card.md\n\n## Description: <br>\nBudget Optimizer helps agents allocate influencer or paid-ad budgets across tiers, platforms, and scenarios, producing allocation tables, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation recommendations. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nMarketing teams, creator-program operators, and agents use this skill to split an influencer or paid-ad budget across platforms, creator tiers, content types, and scenarios. It supports planning a new campaign, justifying a budget request, or proposing mid-campaign reallocations when performance data is available. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill may save campaign budget decisions to memory and may use marketing analytics or CRM-derived performance data when connectors are available. <br>\nMitigation: Confirm the user is comfortable with storing campaign budget facts and using connector-derived performance data before installation or use. <br>\nRisk: Budget allocations and reallocation moves are recommendations and may rely on benchmarks or estimates rather than measured campaign results. <br>\nMitigation: Review estimated metrics, source labels, and proposed budget moves before executing purchases, account changes, or spend decisions. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/budget-optimizer) <br>\n- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills) <br>\n- [Budget Optimizer templates and benchmarks](artifact/references/templates.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown allocation tables, scenario comparisons, projections, optimization guidance, and handoff summaries.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Outputs label metrics as Measured, User-provided, or Estimated and may save recommendations to campaign memory paths.] <br>\n\n## Skill Version(s): <br>\n16.0.0 (source: server release metadata and skill frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v14.0.0: 4 files, 9975 bytes\n\nFiles: references/templates.md (11001b), skill-card.md (2514b), SKILL.md (10307b), _meta.json (136b)\n\nFile v14.0.0:SKILL.md\n\n---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner.'\nversion: \"14.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"14.0.0\", \"discipline\": \"influencer\", \"phase\": \"plan\", \"family\": \"influencer-marketing\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"plan\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationale.\n- **Primary next skill**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the funded allocation into influencer outreach.\n\n### Handoff Summary\n\n> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).\n\n## Cross-discipline: ad spend allocation\n\nThis skill also allocates **paid-ads** spend — the tier/platform tables map to channels/campaigns; use the ROAS goal-weight (DR vs Prospecting) as the scenario axis and read CPA/ROAS targets instead of CPM/CPE. Scope: this computes the spend-reallocation **plan** only. It does **not** read in-flight pacing or issue scale-up/down moves — the live pacing read (pacing vs plan, learning-phase respect) belongs to [budget-pacing-monitor](../../../ad/scale/budget-pacing-monitor/SKILL.md), and bid-strategy choice belongs to [bid-strategy-planner](../../../ad/orchestrate/bid-strategy-planner/SKILL.md). [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) reads one shipped change back against a control, and premature scaling is an **S guardrail flag** in [ad-account-auditor](../../../ad/activate/ad-account-auditor/SKILL.md), not a separate skill or a veto. Save paid runs under `memory/ad/budget-optimizer/`.\n\n## Data Sources\n\nThis family has no required live integrations (Tier 1). The skill works with nothing but the numbers you provide — give it your total budget, target platforms, and campaign goal, and it runs against the built-in cost benchmarks below.\n\nOptional connectors that sharpen the estimates when present:\n\n- `~~influencer database` — real rate cards instead of benchmark ranges.\n- `~~social platform analytics` — actual reach, CPM, and engagement to replace estimated projections.\n- `~~CRM` — past campaign spend and conversion data for ROI calibration.\n\nMark any connector-derived number Measured; mark benchmark-derived numbers Estimated; mark numbers you state as User-provided. See [CONNECTORS.md](../../../CONNECTORS.md) for the keyless data recipes.\n\n## Instructions\n\nWhen a user requests budget optimization, work these steps. Each step's fill-in template, benchmark table, and scenario block lives in [references/templates.md](references/templates.md) — copy the matching section and populate it.\n\n1. **Gather budget parameters** — campaign goal, audience, timeline, total budget, fixed vs influencer-available split, platform priorities, and constraints (max per influencer, min count). Intake template: [§Step 1](references/templates.md#step-1--budget-parameters-intake-template).\n2. **Analyze cost benchmarks** — apply the per-tier/per-platform rate tables (Instagram, TikTok, YouTube) and the industry cost multiplier. Tables: [§Step 2](references/templates.md#step-2--cost-benchmarks).\n3. **Create the allocation** — split across tier, platform, content type, and other items (gifting, amplification, tools, contingency); sum must reach 100% with a 5-10% contingency line. Template: [§Step 3](references/templates.md#step-3--budget-allocation-recommendation).\n4. **Project ROI** — expected reach/impressions/engagements/EMV, cost-efficiency (CPM/CPE/CPV/CPC vs industry avg), and a conversion funnel to ROAS when relevant. Label each metric Measured / User-provided / Estimated. Template: [§Step 4](references/templates.md#step-4--roi-projections).\n5. **Model scenarios** — Conservative / Recommended / Aggressive side-by-side, then name one recommended scenario with rationale. A/B/C blocks: [§Step 5](references/templates.md#step-5--budget-scenarios).\n6. **Optimization strategies** — cost-reduction levers, value-maximization moves, and budget red flags (e.g. >40% on a single influencer). Detail: [§Step 6](references/templates.md#step-6--optimization-strategies).\n7. **Mid-campaign reallocation** (when spend-to-date + per-influencer results are provided) — actual vs plan, top/under performers, and move budget from losers to winners. Template: [§Step 7](references/templates.md#step-7--mid-campaign-reallocation).\n\nSave the run to `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md` (paid-ads runs to `memory/ad/budget-optimizer/`); promote the approved total, chosen scenario, and locked tier mix to `memory/hot-cache.md`.\n\n## Example\n\n**User**: \"Optimize a $30,000 budget for a skincare product launch on Instagram and TikTok targeting Gen Z\"\n\n**Output**:\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\n## Reference Materials\n\n- Templates, cost benchmarks, scenario A/B/C blocks, optimization tips & second example: [references/templates.md](references/templates.md)\n- Shared contract: [skill-contract.md](../../../references/skill-contract.md)\n- Shared state model: [state-model.md](../../../references/state-model.md)\n- Connector recipes: [CONNECTORS.md](../../../CONNECTORS.md)\n- Sibling skills:\n  - [campaign-planner](../campaign-planner/SKILL.md) — the campaign plan this budget funds\n  - [influencer-discovery](../../discover/influencer-discovery/SKILL.md) — find influencers in budget range\n  - [outreach-manager](../../activate/outreach-manager/SKILL.md) — turn the allocation into outreach\n  - [roi-calculator](../../measure/roi-calculator/SKILL.md) — calculate actual ROI post-campaign\n  - [performance-analyzer](../../measure/performance-analyzer/SKILL.md) — inform reallocation decisions\n\n## Next Best Skill\n\n**Primary**: [outreach-manager](../../activate/outreach-manager/SKILL.md) — once the allocation is funded and the tier mix is locked, move to recruiting the influencers it pays for.\n\n**Alternates** (same influencer family):\n\n- [influencer-discovery](../../discover/influencer-discovery/SKILL.md) — if you need to source candidates that fit each tier's per-influencer budget first.\n- [campaign-planner](../campaign-planner/SKILL.md) — if the budget exposed a gap in the underlying campaign plan.\n\n**Termination**: keep a visited-set. If the recommended next skill was already invoked in this session's chain, stop and report chain-complete instead of re-invoking. Default `max-depth: 3`. When routing is ambiguous, present the options and stop rather than auto-following.\n\nFile v14.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn73qjxwmbna25qq8q051epqt980sys5\",\n  \"slug\": \"budget-optimizer\",\n  \"version\": \"14.0.0\",\n  \"publishedAt\": 1783240993364\n}\n\nFile v14.0.0:references/templates.md\n\n# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |\n```\n\n## Step 4 — ROI Projections\n\n```markdown\n## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |\n```\n\n## Step 5 — Budget Scenarios\n\n```markdown\n## Budget Scenarios\n\n### Scenario Comparison\n\n| Factor | Conservative | Recommended | Aggressive |\n|--------|--------------|-------------|------------|\n| **Budget** | $[X] | $[Y] | $[Z] |\n| # Influencers | [#] | [#] | [#] |\n| Tier Mix | [mix] | [mix] | [mix] |\n| Est. Reach | [X] | [X] | [X] |\n| Est. Engagements | [X] | [X] | [X] |\n| Projected CPM | $[X] | $[X] | $[X] |\n| Projected ROI | [X]:1 | [X]:1 | [X]:1 |\n| Risk Level | Low | Medium | Higher |\n\n### Scenario A: Conservative ($[X])\n\n**Strategy**: Focus on proven micro-influencers with high engagement\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Lower risk; higher engagement rates; more content pieces.\n**Cons**: Limited reach; less brand awareness impact; slower momentum.\n\n---\n\n### Scenario B: Recommended ($[Y])\n\n**Strategy**: Balanced mix with macro anchor and micro support\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n| Nano | [#] | $[X] | [#] posts |\n\n**Pros**: Balanced reach and engagement; credibility from macro names; volume from micro/nano.\n**Cons**: More complex management; medium budget commitment.\n\n---\n\n### Scenario C: Aggressive ($[Z])\n\n**Strategy**: Macro-heavy with celebrity/mega-influencer\n\n| Tier | # | Budget | Content |\n|------|---|--------|---------|\n| Mega | [#] | $[X] | [#] posts |\n| Macro | [#] | $[X] | [#] posts |\n| Micro | [#] | $[X] | [#] posts |\n\n**Pros**: Maximum reach; strong brand association; potential viral moments.\n**Cons**: Higher cost per engagement; concentration risk; less authentic feel.\n\n---\n\n### Recommendation\n\n**Recommended Scenario**: [Scenario X]\n**Rationale**: [Why this scenario best meets campaign goals]\n```\n\n## Step 6 — Optimization Strategies\n\n```markdown\n## Budget Optimization Strategies\n\n### Cost Reduction Strategies\n\n| Strategy | Potential Savings | Trade-offs |\n|----------|-------------------|------------|\n| Negotiate multi-post deals | 15-25% | Commitment required |\n| Product-only compensation | 50-80% | Limited to nano/small micro |\n| Affiliate-heavy model | Variable | Performance-dependent |\n| Long-term ambassadors | 20-30% | Less variety |\n| Emerging influencers | 40-60% | Less proven |\n| Off-peak timing | 10-20% | Less competitive periods |\n\n### Value Maximization Strategies\n\n1. **Bundle deliverables**: Negotiate package deals (e.g. \"Post + Stories + Reel\" vs. separate pricing). Typical savings: 15-20%.\n2. **Usage rights negotiation**: Get whitelisting and repurposing rights — value add without major cost increase.\n3. **Performance incentives**: Base fee + performance bonus to align interests and motivate quality content.\n4. **Content amplification**: Allocate 10-20% for paid amplification to extend reach of best content.\n5. **UGC rights**: Negotiate perpetual rights to repurpose across channels.\n\n### Budget Red Flags\n\n- >40% of budget on a single influencer\n- CPM significantly above industry average\n- No contingency allocated\n- All budget on unproven creators\n- Ignoring content amplification\n```\n\n## Step 7 — Mid-Campaign Reallocation\n\n```markdown\n## Mid-Campaign Budget Reallocation\n\n### Current Performance vs. Plan\n\n| Metric | Planned | Actual | Variance | Action |\n|--------|---------|--------|----------|--------|\n| Spend to Date | $[X] | $[X] | [%] | [action] |\n| Content Live | [#] | [#] | [%] | [action] |\n| Reach | [X] | [X] | [%] | [action] |\n| Engagement | [X] | [X] | [%] | [action] |\n| CPM | $[X] | $[X] | [%] | [action] |\n\n### Top Performers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle1] | $[X] | [results] | [X]:1 | Increase investment |\n| @[handle2] | $[X] | [results] | [X]:1 | Increase investment |\n\n### Underperformers\n\n| Influencer | Spend | Results | ROI | Recommendation |\n|------------|-------|---------|-----|----------------|\n| @[handle3] | $[X] | [results] | [X]:1 | Reduce/cut |\n| @[handle4] | $[X] | [results] | [X]:1 | Reduce/cut |\n\n### Reallocation Recommendation\n\n| From | To | Amount | Rationale |\n|------|----|--------|-----------|\n| [Source] | [Destination] | $[X] | [why] |\n| [Source] | [Destination] | $[X] | [why] |\n\n**Expected Impact**: additional reach [X]; improved ROI [X]:1 → [Y]:1.\n```\n\n## Optimization tips\n\n1. **Don't put all eggs in one basket** — diversify across tiers.\n2. **Reserve amplification budget** — best content deserves reach.\n3. **Plan for contingency** — things change mid-campaign.\n4. **Negotiate packages** — multi-post deals save money.\n5. **Track cost efficiency** — CPM/CPE matter more than raw spend.\n\n## Second worked example — $30,000 skincare launch (Gen Z, IG + TikTok)\n\n```markdown\n## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29 · **Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nPrioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase.\n```\n\nFile v14.0.0:skill-card.md\n\n## Description: <br>\nUse when the user asks to allocate an influencer budget, optimize spend across tiers, or compare budget scenarios; produces tier, platform, and content allocation tables, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nMarketing teams and agency operators use this skill to allocate influencer or paid-ad budgets across creator tiers, platforms, and content types, then compare conservative, recommended, and aggressive scenarios. It can also help plan mid-campaign reallocations when spend and performance results are provided. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Campaign budgets, selected scenarios, tier mixes, and constraints may be persisted in host memory files. <br>\nMitigation: Use sanitized budget figures for confidential campaigns or disable or avoid memory persistence when those details should not be stored. <br>\nRisk: Budget projections based on built-in benchmarks may be inaccurate for a specific market, creator, or campaign. <br>\nMitigation: Treat benchmark-derived numbers as estimates and replace them with measured connector data or user-provided rate cards when available. <br>\n\n\n## Referenc\n\nArchive v13.0.0: 4 files, 9931 bytes\n\nFiles: references/templates.md (11001b), skill-card.md (2360b), SKILL.md (10327b), _meta.json (136b)","readmeExcerpt":"Skill: Budget Optimizer Owner: aaron-he-zhu Summary: Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content all... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:18:31.951Z | auto Version 19.0.0 - Added new manifest file: distribution-manifest.json - Removed unused or redundant documentation files: SKILL 2","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Help me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok"},{"language":"text","snippet":"Optimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario"},{"language":"markdown","snippet":"## Budget Allocation: $30,000 Skincare Launch\n\n### Recommended Distribution\n\n| Category | Allocation | Notes |\n|----------|------------|-------|\n| TikTok Influencers | $15,000 (50%) | Primary for Gen Z |\n| Instagram Influencers | $9,000 (30%) | Credibility + visual |\n| Content Amplification | $4,500 (15%) | Boost top performers |\n| Contingency | $1,500 (5%) | Flexibility |\n\n### Influencer Mix\n\n| Platform | Tier | # | Cost Each | Total | Content |\n|----------|------|---|-----------|-------|---------|\n| TikTok | Micro (50-100K) | 5 | $1,500 | $7,500 | 5 videos |\n| TikTok | Nano (10-50K) | 15 | $500 | $7,500 | 15 videos |\n| Instagram | Micro (50-100K) | 3 | $2,000 | $6,000 | 3 Reels + Stories |\n| Instagram | Nano (10-50K) | 6 | $500 | $3,000 | 6 posts |\n\n**Total Influencers**: 29\n**Total Content Pieces**: 29+ (excluding stories)\n\n### Projected Results\n\n- Reach: 2.8M - 3.5M (Estimated)\n- Engagements: 280K - 400K (Estimated)\n- CPM: $8.50 - $10.70 (Estimated)\n- Projected ROI: 3.5:1 (Estimated)\n\nThis allocation prioritizes TikTok for viral potential while using Instagram for credibility and detailed product showcase."},{"language":"markdown","snippet":"### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]"},{"language":"markdown","snippet":"## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **Total** | **100%** | **$[X]** | **[#]** | |\n\n**Rationale**: [Why this tier mix for this campaign goal]\n\n#### By Platform\n\n| Platform | % Budget | Amount | Rationale |\n|----------|----------|--------|-----------|\n| [Platform 1] | [%] | $[X] | [why] |\n| [Platform 2] | [%] | $[X] | [why] |\n| [Platform 3] | [%] | $[X] | [why] |\n\n#### By Content Type\n\n| Content Type | % Budget | Amount | Quantity |\n|--------------|----------|--------|----------|\n| [Type 1] | [%] | $[X] | [#] pieces |\n| [Type 2] | [%] | $[X] | [#] pieces |\n\n#### Other Budget Items\n\n| Item | Amount | % of Total | Notes |\n|------|--------|------------|-------|\n| Product/Gifting | $[X] | [%] | [notes] |\n| Content Amplification | $[X] | [%] | Boosting top content |\n| Tools/Software | $[X] | [%] | [tools] |\n| Contingency | $[X] | [%] | 5-10% buffer |"},{"language":"markdown","snippet":"## ROI Projections\n\n### Expected Results\n\n| Metric | Projection | Methodology |\n|--------|------------|-------------|\n| Total Reach | [X] | [calculation] |\n| Impressions | [X] | Reach × [frequency] |\n| Engagements | [X] | Reach × [ER%] |\n| Video Views | [X] | [if applicable] |\n| Link Clicks | [X] | [click rate] |\n| EMV | $[X] | Impressions × CPM |\n\n### Cost Efficiency Metrics\n\n| Metric | Projected | Industry Avg | vs. Avg |\n|--------|-----------|--------------|---------|\n| CPM | $[X] | $[Y] | [better/worse] |\n| CPE | $[X] | $[Y] | [better/worse] |\n| Cost per Video View | $[X] | $[Y] | [better/worse] |\n| Cost per Click | $[X] | $[Y] | [better/worse] |\n\n### ROI Calculation\n\n**Investment**: $[X]\n**Expected Value**: $[X] (EMV + direct value)\n**Projected ROI**: [X]:1\n\n### Conversion Projections (if applicable)\n\n| Stage | Number | Rate | Notes |\n|-------|--------|------|-------|\n| Reach | [X] | - | Starting point |\n| Clicks | [X] | [%] | Click-through rate |\n| Site Visits | [X] | [%] | Bounce considered |\n| Conversions | [X] | [%] | Conversion rate |\n| Revenue | $[X] | [AOV] | Average order value |\n| **ROAS** | **[X]:1** | | Return on ad spend |"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: budget-optimizer\nslug: budget-optimizer\ndisplayName: \"Budget Optimizer · 预算优化\"\nsummary: \"跨创作者与层级的预算分配:目标导向的花费拆分与情景对比\"\ndescription: 'Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner. 达人预算分配/投放预算优化'\nversion: \"19.0.0\"\nlicense: Apache-2.0\ncompatibility: \"Claude Code and compatible agent-skill hosts\"\nhomepage: \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"\nwhen_to_use: \"Use when planning budget allocation for a new influencer campaign, splitting spend across nano/micro/macro tiers or platforms, estimating influencer costs and projecting ROI, modeling conservative vs aggressive scenarios, justifying a budget request, or reallocating budget mid-campaign based on performance.\"\nargument-hint: \"<total budget> [platforms] [campaign goal]\"\nmetadata: {\"author\": \"aaron-he-zhu\", \"version\": \"19.0.0\", \"discipline\": \"influencer\", \"phase\": \"target\", \"geo-relevance\": \"low\", \"hermes\": {\"tags\": [\"marketing\", \"influencer\", \"target\"], \"category\": \"influencer\"}, \"openclaw\": {\"emoji\": \"📣\", \"homepage\": \"https://github.com/aaron-he-zhu/aaron-marketing-skills\"}}\n---\n\n# Budget Optimizer\n\nThis skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.\n\n## Quick Start\n\nShortest invocation:\n\n```\nHelp me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok\n```\n\nCommon scenario:\n\n```\nOptimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario\n```\n\nOutput: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.\n\n## Skill Contract\n\n- **Reads**: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via `~~influencer database` / `~~social platform analytics` when available.\n- **Writes**: a budget allocation recommendation (tier / platform / content tables), ROI and cost-efficiency projections, scenario comparison, optimization strategies, plus a handoff summary. Save path: `memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md`.\n- **Promotes**: approved total budget, the chosen scenario, locked tier mix, and any spend constraints — promote durable facts to `memory/hot-cache.md`.\n- **Done when**:\n  1. Allocation sums to 100% of the stated budget with a contingency line.\n  2. Every projected metric is labeled Measured / User-provided / Estimated.\n  3. One recommended scenario is named with its rationa"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn73qjxwmbna25qq8q051epqt980sys5\",\n  \"slug\": \"budget-optimizer\",\n  \"version\": \"19.0.0\",\n  \"publishedAt\": 1784902711951\n}"},{"path":"references/templates.md","content":"# Budget Optimizer — Templates, Cost Benchmarks & Scenarios\n\nFill-in templates, the built-in cost benchmark tables, scenario A/B/C blocks, optimization strategies, and the mid-campaign reallocation template for [budget-optimizer](../SKILL.md). Each section maps to a numbered Instructions step in the parent skill.\n\n## Step 1 — Budget Parameters (intake template)\n\n```markdown\n### Budget Optimization Parameters\n\n**Campaign Details**:\n- Campaign Goal: [awareness/engagement/conversion]\n- Target Audience: [description]\n- Timeline: [duration]\n- Geographic Focus: [regions]\n\n**Budget Information**:\n- Total Budget: $[X]\n- Fixed Costs: $[X] (agency, tools, etc.)\n- Available for Influencers: $[X]\n\n**Platform Priorities**:\n- Primary: [platform]\n- Secondary: [platform(s)]\n\n**Constraints**:\n- Must include: [requirements]\n- Maximum per influencer: $[X]\n- Minimum influencers: [#]\n```\n\n## Step 2 — Cost Benchmarks\n\n### Influencer Cost by Tier & Platform\n\n#### Instagram\n\n| Tier | Followers | Cost/Post | Cost/Story | Cost/Reel |\n|------|-----------|-----------|------------|-----------|\n| Nano | 1K-10K | $50-250 | $25-100 | $75-300 |\n| Micro | 10K-100K | $250-1,000 | $100-500 | $300-1,500 |\n| Mid-tier | 100K-500K | $1,000-5,000 | $500-2,000 | $1,500-7,500 |\n| Macro | 500K-1M | $5,000-10,000 | $2,000-5,000 | $7,500-15,000 |\n| Mega | 1M+ | $10,000+ | $5,000+ | $15,000+ |\n\n#### TikTok\n\n| Tier | Followers | Cost/Video | Notes |\n|------|-----------|------------|-------|\n| Nano | 1K-10K | $50-200 | High engagement typical |\n| Micro | 10K-100K | $200-1,000 | Sweet spot for many brands |\n| Mid-tier | 100K-500K | $1,000-3,000 | Viral potential |\n| Macro | 500K-1M | $3,000-7,500 | Established creators |\n| Mega | 1M+ | $7,500+ | Celebrity tier |\n\n#### YouTube\n\n| Tier | Subscribers | Dedicated Video | Integration | Mention |\n|------|-------------|-----------------|-------------|---------|\n| Micro | 10K-100K | $1,000-5,000 | $500-2,000 | $200-500 |\n| Mid-tier | 100K-500K | $5,000-15,000 | $2,000-7,500 | $500-2,000 |\n| Macro | 500K-1M | $15,000-30,000 | $7,500-15,000 | $2,000-5,000 |\n| Mega | 1M+ | $30,000+ | $15,000+ | $5,000+ |\n\n### Industry Adjustments\n\n| Industry | Cost Multiplier | Notes |\n|----------|-----------------|-------|\n| Beauty/Fashion | 1.2-1.5x | High demand, competitive |\n| Tech | 1.1-1.3x | Specialized expertise |\n| Food/Beverage | 1.0x | Standard rates |\n| Finance | 1.3-1.5x | Compliance requirements |\n| Health/Wellness | 1.2-1.4x | Trust requirements |\n| Gaming | 0.9-1.1x | Platform dependent |\n| Travel | 1.0-1.2x | Seasonal variations |\n| Parenting | 1.0-1.1x | Engaged audiences |\n\n## Step 3 — Budget Allocation Recommendation\n\n```markdown\n## Budget Allocation Recommendation\n\n### Total Budget: $[X]\n\n#### By Influencer Tier\n\n| Tier | % Budget | Amount | # Influencers | Cost/Influencer |\n|------|----------|--------|---------------|-----------------|\n| Macro | [%] | $[X] | [#] | ~$[X] |\n| Micro | [%] | $[X] | [#] | ~$[X] |\n| Nano | [%] | $[X] | [#] | ~$[X] |\n| **To"},{"path":"skill-card.md","content":"## Description:\n\nBudget Optimizer helps agents allocate influencer marketing budgets across creator tiers, platforms, and content types, then compare ROI, CPM/CPE, and mid-campaign reallocation scenarios.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nMarketing operators and agents use this skill to split influencer or paid-ad budgets across tiers, platforms, content types, and scenarios. It is useful for planning new campaigns, justifying budget requests, and preparing mid-campaign reallocation recommendations.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill may save campaign budget recommendations and approved budget facts into workspace memory.\n\nMitigation: Avoid sensitive CRM or campaign-performance data unless the host memory and connector settings match the user's data-retention expectations.\n\n## Reference(s):\n\n- [Budget Optimizer templates and benchmarks](references/templates.md)\n- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/budget-optimizer)\n- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown tables and concise narrative recommendations]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May save budget recommendations and approved budget facts to workspace memory when used.]\n\n## Skill Version(s):\n\n19.0.0 (source: SKILL.md frontmatter and server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"distribution-manifest.json","content":"{\n  \"capabilities\": [\n    \"inline-delivery\",\n    \"canonical-state-read\"\n  ],\n  \"capability_ceiling\": \"lite\",\n  \"catalog_sha256\": \"6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940\",\n  \"files\": [\n    {\n      \"bytes\": 10403,\n      \"mode\": \"0644\",\n      \"path\": \"SKILL.md\",\n      \"sha256\": \"7dd19139f30ccdd89e51b493241fc2b52bc3f7e86e0a4415b280c6f2d8e7571b\"\n    },\n    {\n      \"bytes\": 11001,\n      \"mode\": \"0644\",\n      \"path\": \"references/templates.md\",\n      \"sha256\": \"7b6cedc8eb35bcfee0aef20023086249bfc9586633ec9e902d8be8a626fa17ec\"\n    }\n  ],\n  \"files_sha256\": \"4e4bad8f58ad4e9f9e7b5665dd455a59d833518fb19f0186d357013a1eb2c993\",\n  \"hash_algorithm\": \"sha256\",\n  \"kind\": \"standalone-skill\",\n  \"manifest_excludes\": [\n    \"distribution-manifest.json\"\n  ],\n  \"manifest_path\": \"distribution-manifest.json\",\n  \"package_ceiling\": {\n    \"max_bytes\": 1000000,\n    \"max_files\": 64\n  },\n  \"profile\": \"lite\",\n  \"profile_definition_sha256\": \"4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e\",\n  \"schema_version\": \"1.1\",\n  \"source\": {\n    \"commit\": \"f552620c278afddcb25d09637a0cfcc1ce48faf4\",\n    \"repository\": \"aaron-he-zhu/aaron-marketing-skills\"\n  }\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content all... Skill: Budget Optimizer Owner: aaron-he-zhu Summary: Use when the user asks to \"allocate my influencer budget\", \"optimize spend across tiers\", or \"compare budget scenarios\"; produces a tier/platform/content all... 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