# Map Audiences for Influencer Strategy

Influencer programs often begin without a clear audience or community model. This skill creates structured profiles, cultural guidance, and selection criteria.

## Install

```bash
npx skillstore add aaron-he-zhu/audience-mapper
```

## Metadata

- Status: approved
- Slug: aaron-he-zhu-audience-mapper
- Version: 17.0.0
- Author version: 17.0.0
- Skillstore revision: r1
- Version status: valid
- Tree hash: ec9b078b578a7f1e2b40fa2f76af01e1576bea734c37230adf81480fcd6f65f3
- Author: aaron-he-zhu
- GitHub username: aaron-he-zhu
- License: Apache-2.0
- Repository: https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/influencer/discover/audience-mapper
- Ref: d71c7417a35d5c2624161bd2fe8de8a41a362128
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: filesystem, external\_commands, network
- Quality score: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/aaron-he-zhu-audience-mapper
- Manifest: https://skillstore.pages.dev/api/skills/aaron-he-zhu-audience-mapper/manifest

## Capabilities

- Builds demographic and psychographic profiles with confidence labels.
- Maps purchase behavior, media habits, and platform priorities.
- Creates named audience personas and influencer selection criteria.
- Decodes niche language, norms, taboos, and credibility signals.
- Organizes community voices into leader, rising, and micro tiers.
- Produces a 25-point brand fit score and phased entry strategy.

## Use Cases

- Plan a New Influencer Program: Define priority audiences, platforms, content preferences, and creator requirements before discovery begins.
- Evaluate a Niche Community: Decode community culture, assess brand fit, and identify entry risks before partnership outreach.
- Strengthen a Creative Brief: Convert customer evidence into personas, media habits, content preferences, and practical creator guidance.

## Prompt Templates

### Create a Basic Audience Map

```
Analyze the target audience for [brand or product] in [market]. Use audience mode and label every inferred attribute by confidence.
```

### Build an Evidence-Based Persona

```
Use this customer data to build audience profiles, platform priorities, content preferences, and one named persona: [data]. Separate facts from assumptions.
```

### Research a Niche Community

```
Research [community] for [brand]. Map subgroups, language, norms, taboos, key voice tiers, content patterns, brand fit, and entry risks.
```

### Diagnose and Rebuild Strategy

```
Review this campaign evidence: [results]. Identify audience assumptions that failed, rebuild the map, and produce revised creator criteria with confidence labels.
```

## Limitations

- It does not find, contact, or contract specific creators.
- It does not calculate downstream creator, content, or return scores.
- Findings remain hypotheses when first-party or current platform data is unavailable.
- Live metrics require optional external data sources supplied by the user.

## Best Practices

- Provide first-party data, geography, price point, and campaign objectives when available.
- Keep confidence labels visible and validate low-confidence assumptions before spending.
- Use community members and current platform evidence to verify language, norms, and risks.

## Anti Patterns

- Do not treat inferred demographics or psychographics as verified facts.
- Do not use broad personas as substitutes for meaningful audience segments.
- Do not select creators before converting findings into explicit criteria and red flags.

## Security Audit

- Audited at: 2026-07-12T10:48:00.517\+00:00
- Summary: All 38 static findings are false positives caused by Markdown links, code formatting, template wording, and metadata URLs. The files contain no executable commands, unsafe traversal behavior, prompt injection, or data exfiltration instructions.

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