| name | audience-mapper |
| slug | audience-mapper |
| displayName | Audience Mapper · 目标受众画像 |
| summary | 目标受众画像/人群分析 · 细分社群/亚文化调研 |
| description | Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研 |
| version | 20.1.0 |
| 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 | Run at the start of an influencer program, or when entering a new market/segment, before any creator selection — this is the who + what-community step. Use audience mode to understand who the customer is, where they spend time online, which creators they trust, and what selection criteria follow; use niche mode to decode a specific subculture's language, norms, taboos, key voices, and brand fit before outreach so the brand avoids cultural missteps. From a brand or product name alone, produce hypotheses and a research plan; factual mapping requires supplied or fetched customer/community evidence. Also use to diagnose why a prior campaign underperformed or to build personas for a creative brief. |
| argument-hint | <brand/product or niche> [mode: audience|niche] [category] [geo/platforms] |
| metadata | {"author":"aaron-he-zhu","version":"20.1.0","discipline":"influencer","phase":"scout","geo-relevance":"low","hermes":{"tags":["marketing","influencer","scout"],"category":"influencer"},"openclaw":{"emoji":"📣","homepage":"https://github.com/aaron-he-zhu/aaron-marketing-skills"}} |
Audience Mapper
Maps who the brand is trying to reach and what community they belong to — the two halves of understanding an audience before any creator is selected. It runs in two modes against one shared inputs set:
audience mode — the wide-angle read: demographic + psychographic profiles, a behavioral/media-diet map, a platform-priority matrix, content preferences, an influencer-affinity table, one or more named personas, and a must-have / nice-to-have / red-flag influencer-selection criteria set ready to hand to discovery.niche mode — the deep-dive: a community map (size, sub-niches, psychographics), a culture decode (language, norms, taboos), key-voice tiers, a content ecosystem, a Brand Fit Score (X/25) with a Strong/Moderate/Weak/Poor verdict, and a phased entry strategy with explicit red lines.
Both feed STAR creator/content scoring downstream, but this skill computes neither the Suitability/Trust/Appeal/Return dimension scores nor the SQS — it produces the audience and community facts that fit-scorer and creator-content-auditor later score against. Scope guard below.
Quick Start
Analyze the target audience for [brand/product/category] # audience mode
Build an audience profile for influencer targeting from this data: [data]
Research the [niche] community and identify opportunities for [brand] # niche mode
Deep-dive [subculture] — key voices, what content works, brand fit, cultural risks
If the mode is not named, infer it: a broad brand/product/category request → audience; a named community, subculture, or hashtag (e.g. "#BookTok", "van-life") → niche. State which mode you picked before running.
Skill Contract
Expected output: with sufficient dated evidence, in audience mode an audience analysis (demographics + psychographics, behavioral map, platform-priority matrix, content preferences, influencer-affinity table, ≥1 persona, and selection criteria); in niche mode a niche dossier (community map, culture decode, key-voice candidate tiers, Brand Fit Score X/25 + verdict, phased entry strategy, red lines). Without sufficient evidence, return hypotheses only as explicitly hypothetical, an exact research/collection plan, and NEEDS_INPUT; do not score, tier, promote, or hand off hypotheses as facts.
- Reads: the mode (audience / niche, inferred if unstated); brand or product name, category, geographic focus, price point, campaign objective; for niche mode the niche/community name, parent category, research goal (awareness/partnership/entry), and target platforms; any supplied first-party data (surveys, social insights, sales records, CRM). Prior or the sibling-mode's own output if present in .
