linkedin-analytics
当有人询问其 LinkedIn 触达率为何下降、哪些帖子有效、某个模式是否真实或如何检验时使用。用 post_performance_analyzer.py 分析帖子,用 pattern_miner.py 挖掘模式,用 experiment_planner.py 规划实验。
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Use when someone asks why their LinkedIn reach dropped, which posts worked, whether a pattern is real or how to test one. Analyzes posts with post_performance_analyzer.py, mines patterns with pattern_miner.py and plans tests with experiment_planner.py.
适用对象:营销与增长。自动收录 · 待核查。
原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
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原文涵盖的主题
- LinkedIn Analytics — describe honestly, then refuse to over-conclude
- Workflow
- Rules
- Scripts
- References and assets
- Distinct from
The characteristic sentence of LinkedIn analytics is "carousels do 3x better for me", built on four posts. With engagement as heavy-tailed as it is, four posts will show a 3x difference between almost any two groups you care to define. These three scripts stop that sentence becoming a strategy. Your own data only. Nothing is fetched; scraping post or profile data is prohibited by User Agreement §8.2 and none of this analysis needs it. 1. Get the export. LinkedIn Analytics → Post impressions → Export, or Settings → Data privacy → Get a copy of your data. CSV and JSON both work. 2. Describe it. Exit 0 analysed / 2 below the 10-post floor, descriptive only / 3 unusable. Reports median and MAD rather than mean and standard deviation — one breakout post makes a mean describe a distribution none of your posts belong to — plus Tukey percentile bands and a 1.5×IQR breakout threshold, so "this did well" has a number behind it. 3. Test the pattern they think they see. Exit 0 something survived / 2 nothing survived / 3 under 10 posts. Four gates: 5 posts in and 5 out; a 15% relative difference in medians; beating 90% of 2,000 seeded label shuffles; and a multiple-comparisons accounting of how
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- 来源仓库
- alirezarezvani/claude-skills
- 源文件
- marketing/linkedin/skills/linkedin-analytics/SKILL.md
- 固定版本
- 8f082544116fc0d014188e521ca40304cdfc86b0
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本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。
原作者:alirezarezvani/claude-skills · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:47.242Z。
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