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Use when reviewing targeting strategy,...\n\nTags: audience-analysis:1.0.0, didoo-ai:1.0.0, latest:1.1.0, meta-ads:1.0.0\n\nVersion history:\n\nv1.1.0 | 2026-04-16T02:36:27.264Z | user\n\nAdded homepage, metadata.openclaw.requires.env, OAuth scope for credential clarity\n\nv1.0.0 | 2026-04-14T20:21:23.492Z | user\n\nInitial release\n\nArchive index:\n\nArchive v1.1.0: 3 files, 3752 bytes\n\nFiles: skill-card.md (2243b), SKILL.md (5478b), _meta.json (145b)\n\nFile v1.1.0:SKILL.md\n\n---\nname: meta-ads-audience-analysis\ndescription: \"[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy, planning audience expansion or narrowing, or auditing budget distribution across audience segments.\"\nhomepage: https://didoo.ai/blog\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"requires\": { \"env\": [\"META_ACCESS_TOKEN\", \"META_AD_ACCOUNT_ID\"] },\n      },\n  }\n---\n\n## Required Credentials\n| Credential | Where to Get | Used For | OAuth Scope |\n|-----------|-------------|---------|-------------|\n| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching audience breakdown and overlap data | `ads_read` (read-only) |\n| META_AD_ACCOUNT_ID | Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX` | Identifying which account to query | — |\n\n## When to Use\nBefore launching new campaigns, during quarterly planning, or when a campaign is underperforming and audience mismatch is suspected.\nRun standalone or after `meta-ads-weekly-performance` identifies audience-related issues.\n\n---\n\n## Requirements\n- account_id (required)\n- campaign_id (optional — defaults to all campaigns)\n- date_range: last_30d (default)\n\n---\n\n## Step 1: Fetch Audience Data\nPull data broken down by audience dimension:\n\n### Audience Type Performance (via breakdown by audience_type)\n- Lookalike, Custom, Broad, Interest, Retargeting\n- Spend, CTR, CPA, ROAS for each\n\n### Audience Overlap (via Meta's overlap analysis tool)\n- Pairs of overlapping audiences\n- Overlap percentage, combined spend, ROAS\n\n### Demographic Breakdown (via breakdown by age and gender)\n- Age × Gender cells\n- Spend, conversions, CPA, ROAS\n\n### Placement Breakdown\n- Feed, Stories, Reels, Instant Articles, Audience Network, Messenger\n- CTR, CVR, CPA, ROAS for each\n\n---\n\n## Step 2: Audience Type Efficiency\n| Audience Type | Spend | % of Budget | CTR | CPA | ROAS | Budget Should Be |\n|--------------|------|------------|-----|-----|------|------------------|\n|              |      |            |     |     |      |                  |\n\nIdentify:\n- Which audience type delivers best ROAS\n- Which is over/underallocated relative to efficiency\n- Lookalike quality (which LAL layers performing)\n\n---\n\n## Step 3: Audience Overlap Analysis\n| Audience Name | Overlaps With | Overlap % | Combined Spend | ROAS | Action |\n|---------------|---------------|-----------|-----------------|------|--------|\n|               |               |           |                 |      | Consolidate / Exclude / Separate / Monitor |\n\nFlag:\n- Overlap > 30% with high combined spend → Consolidate\n- Overlap > 50% → Exclude one\n- Different audiences with same LAL source → Separate\n\n---\n\n## Step 4: Demographic Deep Dive\n| Age and Gender | Spend | Conversions | CPA | ROAS | Action |\n|-----------------|------|-------------|-----|------|--------|\n|                 |      |             |     |      | Increase Bid / Decrease Bid / Exclude / Maintain |\n\nIdentify:\n- Highest and lowest ROAS demographic cells\n- Unexpected performance by gender or age\n- Bid adjustment opportunities\n\n---\n\n## Step 5: Placement Breakdown\n| Placement | Spend | % of Budget | CTR | CVR | CPA | ROAS | Action |\n|-----------|------|------------|-----|-----|-----|------|--------|\n|           |      |            |     |     |     |      | Scale / Maintain / Reduce / Exclude |\n\nFlag:\n- Audience Network with low ROAS → Exclude\n- Stories vs Feed efficiency gap > 30% → Reduce lower performer\n- Reels growing but underallocated → Scale\n\n---\n\n## Step 6: Budget Reallocation Plan\n| From Audience/Placement | To Audience/Placement | Shift Amount | Expected ROAS Impact | Revenue Impact | Priority |\n|---------------------------|-------------------------|---------------|-----------------------|-----------------|----------|\n|                           |                         |               |                       |                 | High / Medium / Low |\n\nPrioritize moves by:\n1. Highest ROAS differential\n2. Enough data to trust the signal (minimum 50 results per segment)\n3. Realistic shift amounts (don't move more than 20% at once)\n\n---\n\n## Step 7: Output Format\n### SECTION 1: Audience Type Efficiency\n2–3 audience type issues in problem/solution format.\n\n### SECTION 2: Audience Overlap and Waste\n2 overlap issues in problem/solution format.\n\n### SECTION 3: Placement Breakdown\n2 placement issues in problem/solution format.\n\n### SECTION 4: Demographic Deep Dive\n2–3 demographic issues in problem/solution format.\n\n### SECTION 5: Budget Reallocation Plan\n1–2 reallocation strategy issues in problem/solution format.\n\n---\n\n## Rules\n- No executive summary\n- Minimum 50 results per segment before drawing conclusions on any audience slice\n- Action must be specific: \"Increase bid 20% on Women 25-34\" not \"adjust demographics\"\n- This is analysis only — recommendations route to `meta-ads-recommendation`\n\n---\n\n## Session Context — What This Skill Writes\n\nAfter completing analysis, store the following in session context:\n\n| Key | Description | Example |\n|-----|-------------|---------|\n| budget_reallocation_plan | Specific shifts between audience segments | \"$200/day from Broad to LAL 1% Women 25-34\" |\n| audience_issues | Overlap, waste, or misallocation findings | \"Audience A overlaps with B by 41% — consolidate\" |\n\n> meta-ads-recommendation reads these keys to produce the audience action plan.\n\nFile v1.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn72xgwz1h6j5cfwscvt1wm10d83tj78\",\n  \"slug\": \"meta-ads-audience-analysis\",\n  \"version\": \"1.1.0\",\n  \"publishedAt\": 1776306987264\n}\n\nFile v1.1.0:skill-card.md\n\n## Description:\n\n[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy, planning audience expansion or narrowing, or auditing budget distribution across audience segments.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[elias-didoo](https://clawhub.ai/user/elias-didoo)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nMarketing operators and analysts use this skill to review Meta Ads audience efficiency, overlap, demographic performance, placement results, and budget allocation before campaign planning or troubleshooting.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: A Meta access token with broader permissions than needed could expose campaign data beyond the skill's read-only analysis use case.\n\nMitigation: Use a token limited to the read-only ads_read scope before running the skill.\n\nRisk: Campaign-derived audience and budget findings are written to session context for use by the related recommendation skill.\n\nMitigation: Run the skill only when that session-context handoff is acceptable for the account and campaign data being analyzed.\n\nRisk: Audience segment conclusions can be misleading when based on too little data.\n\nMitigation: Follow the skill's minimum of 50 results per segment before drawing conclusions on an audience slice.\n\n## Reference(s):\n\n- [Didoo AI Blog](https://didoo.ai/blog)\n- [ClawHub Skill Page](https://clawhub.ai/elias-didoo/skills/meta-ads-audience-analysis)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown analysis with structured sections and session-context findings]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Writes audience issues and budget reallocation findings to session context for the related recommendation skill.]\n\n## Skill Version(s):\n\n1.1.0 (source: 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\nArchive v1.0.0: 2 files, 2452 bytes\n\nFiles: SKILL.md (5260b), _meta.json (145b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: meta-ads-audience-analysis\ndescription: \"[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy, planning audience expansion or narrowing, or auditing budget distribution across audience segments.\"\n---\n\n## Required Credentials\n| Credential | Where to Get | Used For |\n|-----------|-------------|---------|\n| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching audience breakdown and overlap data |\n| META_AD_ACCOUNT_ID | Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX` | Identifying which account to query |\n\n## When to Use\nBefore launching new campaigns, during quarterly planning, or when a campaign is underperforming and audience mismatch is suspected.\nRun standalone or after `meta-ads-weekly-performance` identifies audience-related issues.\n\n---\n\n## Requirements\n- account_id (required)\n- campaign_id (optional — defaults to all campaigns)\n- date_range: last_30d (default)\n\n---\n\n## Step 1: Fetch Audience Data\nPull data broken down by audience dimension:\n\n### Audience Type Performance (via breakdown by audience_type)\n- Lookalike, Custom, Broad, Interest, Retargeting\n- Spend, CTR, CPA, ROAS for each\n\n### Audience Overlap (via Meta's overlap analysis tool)\n- Pairs of overlapping audiences\n- Overlap percentage, combined spend, ROAS\n\n### Demographic Breakdown (via breakdown by age and gender)\n- Age × Gender cells\n- Spend, conversions, CPA, ROAS\n\n### Placement Breakdown\n- Feed, Stories, Reels, Instant Articles, Audience Network, Messenger\n- CTR, CVR, CPA, ROAS for each\n\n---\n\n## Step 2: Audience Type Efficiency\n| Audience Type | Spend | % of Budget | CTR | CPA | ROAS | Budget Should Be |\n|--------------|------|------------|-----|-----|------|------------------|\n|              |      |            |     |     |      |                  |\n\nIdentify:\n- Which audience type delivers best ROAS\n- Which is over/underallocated relative to efficiency\n- Lookalike quality (which LAL layers performing)\n\n---\n\n## Step 3: Audience Overlap Analysis\n| Audience Name | Overlaps With | Overlap % | Combined Spend | ROAS | Action |\n|---------------|---------------|-----------|-----------------|------|--------|\n|               |               |           |                 |      | Consolidate / Exclude / Separate / Monitor |\n\nFlag:\n- Overlap > 30% with high combined spend → Consolidate\n- Overlap > 50% → Exclude one\n- Different audiences with same LAL source → Separate\n\n---\n\n## Step 4: Demographic Deep Dive\n| Age and Gender | Spend | Conversions | CPA | ROAS | Action |\n|-----------------|------|-------------|-----|------|--------|\n|                 |      |             |     |      | Increase Bid / Decrease Bid / Exclude / Maintain |\n\nIdentify:\n- Highest and lowest ROAS demographic cells\n- Unexpected performance by gender or age\n- Bid adjustment opportunities\n\n---\n\n## Step 5: Placement Breakdown\n| Placement | Spend | % of Budget | CTR | CVR | CPA | ROAS | Action |\n|-----------|------|------------|-----|-----|-----|------|--------|\n|           |      |            |     |     |     |      | Scale / Maintain / Reduce / Exclude |\n\nFlag:\n- Audience Network with low ROAS → Exclude\n- Stories vs Feed efficiency gap > 30% → Reduce lower performer\n- Reels growing but underallocated → Scale\n\n---\n\n## Step 6: Budget Reallocation Plan\n| From Audience/Placement | To Audience/Placement | Shift Amount | Expected ROAS Impact | Revenue Impact | Priority |\n|---------------------------|-------------------------|---------------|-----------------------|-----------------|----------|\n|                           |                         |               |                       |                 | High / Medium / Low |\n\nPrioritize moves by:\n1. Highest ROAS differential\n2. Enough data to trust the signal (minimum 50 results per segment)\n3. Realistic shift amounts (don't move more than 20% at once)\n\n---\n\n## Step 7: Output Format\n### SECTION 1: Audience Type Efficiency\n2–3 audience type issues in problem/solution format.\n\n### SECTION 2: Audience Overlap and Waste\n2 overlap issues in problem/solution format.\n\n### SECTION 3: Placement Breakdown\n2 placement issues in problem/solution format.\n\n### SECTION 4: Demographic Deep Dive\n2–3 demographic issues in problem/solution format.\n\n### SECTION 5: Budget Reallocation Plan\n1–2 reallocation strategy issues in problem/solution format.\n\n---\n\n## Rules\n- No executive summary\n- Minimum 50 results per segment before drawing conclusions on any audience slice\n- Action must be specific: \"Increase bid 20% on Women 25-34\" not \"adjust demographics\"\n- This is analysis only — recommendations route to `meta-ads-recommendation`\n\n---\n\n## Session Context — What This Skill Writes\n\nAfter completing analysis, store the following in session context:\n\n| Key | Description | Example |\n|-----|-------------|---------|\n| budget_reallocation_plan | Specific shifts between audience segments | \"$200/day from Broad to LAL 1% Women 25-34\" |\n| audience_issues | Overlap, waste, or misallocation findings | \"Audience A overlaps with B by 41% — consolidate\" |\n\n> meta-ads-recommendation reads these keys to produce the audience action plan.\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn72xgwz1h6j5cfwscvt1wm10d83tj78\",\n  \"slug\": \"meta-ads-audience-analysis\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776198083492\n}","readmeExcerpt":"Skill: Meta Ads Audience Analysis Owner: elias-didoo Summary: [Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy,... Tags: audience-analysis:1.0.0, didoo-ai:1.0.0, latest:1.1.0, meta-ads:1.0.0 Version history: v1.1.0 | 2026-04-16T02:36:27.264Z | user Added homepage, metadata.openclaw.requires.env, OAuth scope for ","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: meta-ads-audience-analysis\ndescription: \"[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy, planning audience expansion or narrowing, or auditing budget distribution across audience segments.\"\nhomepage: https://didoo.ai/blog\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"requires\": { \"env\": [\"META_ACCESS_TOKEN\", \"META_AD_ACCOUNT_ID\"] },\n      },\n  }\n---\n\n## Required Credentials\n| Credential | Where to Get | Used For | OAuth Scope |\n|-----------|-------------|---------|-------------|\n| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching audience breakdown and overlap data | `ads_read` (read-only) |\n| META_AD_ACCOUNT_ID | Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX` | Identifying which account to query | — |\n\n## When to Use\nBefore launching new campaigns, during quarterly planning, or when a campaign is underperforming and audience mismatch is suspected.\nRun standalone or after `meta-ads-weekly-performance` identifies audience-related issues.\n\n---\n\n## Requirements\n- account_id (required)\n- campaign_id (optional — defaults to all campaigns)\n- date_range: last_30d (default)\n\n---\n\n## Step 1: Fetch Audience Data\nPull data broken down by audience dimension:\n\n### Audience Type Performance (via breakdown by audience_type)\n- Lookalike, Custom, Broad, Interest, Retargeting\n- Spend, CTR, CPA, ROAS for each\n\n### Audience Overlap (via Meta's overlap analysis tool)\n- Pairs of overlapping audiences\n- Overlap percentage, combined spend, ROAS\n\n### Demographic Breakdown (via breakdown by age and gender)\n- Age × Gender cells\n- Spend, conversions, CPA, ROAS\n\n### Placement Breakdown\n- Feed, Stories, Reels, Instant Articles, Audience Network, Messenger\n- CTR, CVR, CPA, ROAS for each\n\n---\n\n## Step 2: Audience Type Efficiency\n| Audience Type | Spend | % of Budget | CTR | CPA | ROAS | Budget Should Be |\n|--------------|------|------------|-----|-----|------|------------------|\n|              |      |            |     |     |      |                  |\n\nIdentify:\n- Which audience type delivers best ROAS\n- Which is over/underallocated relative to efficiency\n- Lookalike quality (which LAL layers performing)\n\n---\n\n## Step 3: Audience Overlap Analysis\n| Audience Name | Overlaps With | Overlap % | Combined Spend | ROAS | Action |\n|---------------|---------------|-----------|-----------------|------|--------|\n|               |               |           |                 |      | Consolidate / Exclude / Separate / Monitor |\n\nFlag:\n- Overlap > 30% with high combined spend → Consolidate\n- Overlap > 50% → Exclude one\n- Different audiences with same LAL source → Separate\n\n---\n\n## Step 4: Demographic Deep Dive\n| Age and Gender | Spend | Conversions | CPA | ROAS | Action |\n|-----------------|------|-------------|-----|------|--------|\n|                 |      |             |     |      | Increase Bid / Decrease Bid / Excl"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn72xgwz1h6j5cfwscvt1wm10d83tj78\",\n  \"slug\": \"meta-ads-audience-analysis\",\n  \"version\": \"1.1.0\",\n  \"publishedAt\": 1776306987264\n}"},{"path":"skill-card.md","content":"## Description:\n\n[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy, planning audience expansion or narrowing, or auditing budget distribution across audience segments.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[elias-didoo](https://clawhub.ai/user/elias-didoo)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nMarketing operators and analysts use this skill to review Meta Ads audience efficiency, overlap, demographic performance, placement results, and budget allocation before campaign planning or troubleshooting.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: A Meta access token with broader permissions than needed could expose campaign data beyond the skill's read-only analysis use case.\n\nMitigation: Use a token limited to the read-only ads_read scope before running the skill.\n\nRisk: Campaign-derived audience and budget findings are written to session context for use by the related recommendation skill.\n\nMitigation: Run the skill only when that session-context handoff is acceptable for the account and campaign data being analyzed.\n\nRisk: Audience segment conclusions can be misleading when based on too little data.\n\nMitigation: Follow the skill's minimum of 50 results per segment before drawing conclusions on an audience slice.\n\n## Reference(s):\n\n- [Didoo AI Blog](https://didoo.ai/blog)\n- [ClawHub Skill Page](https://clawhub.ai/elias-didoo/skills/meta-ads-audience-analysis)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Markdown analysis with structured sections and session-context findings]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Writes audience issues and budget reallocation findings to session context for the related recommendation skill.]\n\n## Skill Version(s):\n\n1.1.0 (source: 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."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy,... Skill: Meta Ads Audience Analysis Owner: elias-didoo Summary: [Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy,... 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