audience-research
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ChineseAudience Research
受众调研
Overview
概述
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.
评估创作者或社交账号是否触达了目标受众。该技能整合了可用的公开资料指标、TikTok受众人口统计数据、地域信号、(若可获取的)关注者/被关注者数据、评论、语言及内容主题。
When to Use
使用场景
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
当用户提出以下需求时使用该技能:
- 检查创作者的受众是否契合某一市场
- 对比不同创作者的受众适配度
- 寻找受众以美国为主、特定国家或细分领域的创作者
- 评估赞助/网红合作机会
- 了解哪些群体似乎在与该账号互动
Useful Sources
有用数据源
/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
/v1/tiktok/user/audience/v1/tiktok/profile/region- 各平台的资料接口
- (若可获取的)关注者/被关注者接口
- 近期帖子的评论
- 个人简介链接页面及创作者店铺的细分领域信号
Workflow
工作流程
- Pull profile and available audience/demographic data.
- Pull recent content and comments if audience intent matters.
- Extract region, language, niche, product/category, and community signals.
- Score audience fit against the user's target market.
- Label confidence based on the strength of public data.
- 获取资料及可用的受众/人口统计数据。
- 若受众意向重要,则获取近期内容及评论。
- 提取地域、语言、细分领域、产品/品类及社群信号。
- 根据用户的目标市场为受众适配度打分。
- 根据公开数据的可信度标注置信度。
Output Format
输出格式
markdown
undefinedmarkdown
undefinedAudience Research: {creator}
Audience Research: {creator}
Fit Summary
Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low
Evidence
Evidence
| Signal | Evidence | Source |
|---|
| Signal | Evidence | Source |
|---|
Audience Notes
Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:
- Geography:
- Language:
- Niche/content fit:
- Comment quality:
Sponsorship Recommendation
Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:
undefined- Good fit / Maybe / Poor fit
- Why:
undefinedCommon Pitfalls
常见误区
- 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.
- 不要仅凭感觉推断确切的人口统计数据。使用可用证据并标注假设内容。
- 对于未公开受众细节的平台,不要过度承诺能提供受众详情。
- 不要忽视创作者所在地与受众所在地之间的不匹配。