audience-research

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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.

AI & Automation 2,247 stars 25 forks Updated 2 weeks ago MIT

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Skill Content

# 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 ```markdown # 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...

Details

Author
ScrapeCreators
Repository
ScrapeCreators/social-media-research-skills
Created
3 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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