Agent skill · marketing growth · aiskillstore
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 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
Why this skill is useful
Adds domain-specific knowledge for audience segmentation and targeting that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 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 NEEDSINPUT). Primary next skill: campaign-architect to consume these segments into account structure and match types. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/audience-segment-builder