Audience Segment Builder
Use when the user asks to "build audience segments from my customer list", "make value-based / lookalike seed lists", "set up exclusion / suppression segment... Skill: Audience Segment Builder Owner: aaron-he-zhu Summary: Use when the user asks to "build audience segments from my customer list", "make value-based / lookalike seed lists", "set up exclusion / suppression segment... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:16:19.944Z | auto - Version bump to 19.0.0 with updated metadata and version references. - Added distribution-manifest.json for improved
Rank
62
Safety
84
Downloads
1.1k
Updated
Oct 11, 2026
Version
19.0.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1.1K downloadsadoption · observed Oct 11, 2026
- Latest release
- 19.0.0release · observed Jul 24, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:audience-segment-builder- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-audience-segment-builder/snapshot"
Documentation
CLAWHUB
70,493 characters of source documentation, loaded on request.
Extracted files
4 files captured from the source.
SKILL.md
---
name: audience-segment-builder
slug: aaron-audience-segment-builder
displayName: "Audience Segment Builder · 付费广告受众分群"
summary: "付费广告受众分群/种子人群/排除人群/相似人群种子"
description: 'Use when the user asks to "build audience segments from my customer list", "make value-based / lookalike seed lists", "set up exclusion / suppression segments", or "map audiences to funnel stages across platforms"; turns the user''s OWN customer/CRM/GA4 export into seed audiences, value-based lookalike SEED lists, exclusion/suppression segments, and a cross-platform funnel-stage targeting map, informing the ROAS A (Audience) dimension. Not for building account structure or match types — use campaign-architect; not for organic SERP intent — use keyword-research. 付费广告受众分群/种子人群/排除人群/相似人群种子'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use when preparing WHO to target before a paid account is built: segmenting an exported customer/CRM list into seed audiences, building value-based lookalike SEED lists from your own high-value customers, defining exclusion/suppression segments (existing customers, recent purchasers, bad-fit), and laying out a funnel-stage targeting map that is shared across ad platforms."
argument-hint: "<customer/CRM CSV or GA4 export> [goal: DR|prospecting] [platforms]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "ad", "phase": "research", "geo-relevance": "low", "hermes": {"tags": ["marketing", "ad", "research"], "category": "ad"}, "openclaw": {"emoji": "🎯", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---
# Audience Segment Builder
Turns the user's own customer/CRM/GA4 export into seed audiences, value-based lookalike SEED lists, exclusion/suppression segments, and a cross-platform funnel-stage targeting map. It defines **who the audiences are and how they are seeded and suppressed** — campaign-architect then consumes these segments into account structure and match types; this skill does not build campaigns, and it is distinct from organic keyword-research, which reads SERP intent rather than paid segments.
## Quick Start
```
Build audience segments from my customer export: [path]. Goal is DR. Platforms: Google + Meta.
```
```
Make a value-based lookalike SEED list from my top customers and the exclusion list for people who already bought. [customer CSV]
```
```
Map my GA4 audiences to funnel stages so I can reuse the same targeting across Google and Meta. [GA4 audience/demographics export]
```
## Skill Contract
**Expected output**: a set of named audiences in four buckets — (1) **seed audiences** grouped by trait/behavior, (2) **value-based lookalike SEED lists** (the high-value seed rows themselves, not a platform key), (3) **exclusion/suppression segments** (existing customers, recent purchasers, bad-fit), and (4) a **funnel-stage targeting map** reusable across_meta.json
{
"ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
"slug": "audience-segment-builder",
"version": "19.0.0",
"publishedAt": 1784902579944
}skill-card.md
## Description: Builds audience segment plans from the user's own customer, CRM, or GA4 exports, including seed audiences, value-based lookalike seed lists, suppression segments, and a platform-neutral funnel-stage targeting map. This skill is ready for commercial/non-commercial use. ## Publisher: [aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu) ### License/Terms of Use: MIT-0 ## Use Case: Marketing teams and advertising operators use this skill to turn first-party customer, CRM, and GA4 exports into named paid-media audience buckets, lookalike seed definitions, suppression rules, and a reusable funnel-stage targeting map. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: The skill may require customer or analytics exports that contain sensitive customer data. Mitigation: Provide only data allowed by policy, avoid raw customer PII unless necessary, and work from hashed or aggregate descriptions where possible. Risk: Generated segment plans could misclassify customers or create unsuitable advertising audiences. Mitigation: Review generated segment files and suppression rules before reuse or activation in ad platforms. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/audience-segment-builder) - [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills) ## Skill Output: **Output Type(s):** [text, markdown, configuration, guidance] **Output Format:** [Markdown segment plan and handoff summary] **Output Parameters:** [1D] **Other Properties Related to Output:** [Produces named audience buckets, suppression rules, and a platform-neutral funnel-stage map; generated segment files should be reviewed before reuse.] ## Skill Version(s): 19.0.0 (source: server evidence and SKILL.md frontmatter) ## Ethical Considerations: Users 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.
distribution-manifest.json
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}AionUi
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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