audience-research

name	audience-research
description	Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
allowed-tools	Bash, Read, Write, WebFetch
version	1.0.0
author	ScrapeCreators
license	MIT
homepage	https://scrapecreators.com
repository	https://github.com/ScrapeCreators/social-media-research-skills
metadata	{"openclaw":{"requires":{"env":"[Truncated]"},"primaryEnv":"SCRAPECREATORS_API_KEY","homepage":"https://scrapecreators.com","tags":["social-media","research","scrapecreators"]}}

Audience Research

Overview

Evaluate whether a creator or social account reaches the right audience. This skill combines available public profile metrics, TikTok audience demographics, regional signals, follower/following data when available, comments, language, and content topics.

When to Use

Use this skill when the user asks to:

• check if a creator's audience fits a market
• compare audience fit across creators
• find US-heavy, country-specific, or niche-specific creators
• evaluate sponsorship/influencer opportunities
• understand who appears to engage with an account

Useful Sources

• /v1/tiktok/user/audience
• /v1/tiktok/profile/region
• profile endpoints across platforms
• follower/following endpoints where available
• comments on recent posts
• link-in-bio pages and creator shops for niche signals

Workflow

1. Pull profile and available audience/demographic data.
2. Pull recent content and comments if audience intent matters.
3. Extract region, language, niche, product/category, and community signals.
4. Score audience fit against the user's target market.
5. Label confidence based on the strength of public data.

Output Format

# Audience Research: {creator}

## Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low

## Evidence
| Signal | Evidence | Source |
|---|---|---|

## Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:

## Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:

Common Pitfalls

• Do not infer exact demographics from vibes. Use available evidence and label assumptions.
• Do not overpromise audience details for platforms that do not expose them publicly.
• Do not ignore mismatch between creator location and audience location.