| 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 | 19.2.0 |
| 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":"19.2.0","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 platforms — with notes that inform the ROAS A (Audience) dimension, plus the standard handoff summary.
- Reads: the user's own customer/CRM CSV (traits, value/LTV, last-purchase date, fit signals) and GA4 audience/demographics export; the ROAS profile (
direct-response|prospecting|incremental-profit); target platforms.
- Writes: a user-facing segment plan and reusable summary to
memory/ad/audience-segment-builder/.
- Promotes: the seed/lookalike-seed/exclusion bucket names, the funnel-stage map, the suppression rules, and any missing export to
memory/hot-cache.md and memory/open-loops.md; propose durable segment definitions as pending-decision items.
- Done when: each audience is named and grounded in an exported column; value-based seeds are ranked by the user's own value field; exclusion segments cover existing customers and recent purchasers (window stated); the funnel-stage map is platform-neutral; and the ROAS A relevance of each bucket is noted (or flagged NEEDS_INPUT).
- Primary next skill: campaign-architect to consume these segments into account structure and match types.
