Cohort Analysis
技能 已验证 活跃Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
To provide users with a structured and insightful way to analyze user engagement and retention patterns by cohort, enabling better product decisions.
功能
- Data reading (CSV, Excel, JSON, SQL)
- Retention analysis and curve generation
- Feature adoption trend analysis
- Cohort comparison and anomaly detection
- Visualization generation (heatmaps, charts)
- Research recommendation design
- Python analysis script generation
使用场景
- Analyzing user retention by cohort
- Studying feature adoption over time
- Investigating churn patterns
- Identifying engagement trends
非目标
- Performing raw data manipulation beyond validation
- Replacing a full BI platform
- Providing prescriptive advice without data analysis
Trust
- info:Issues AttentionThere are 8 open issues and 0 closed issues in the last 90 days, indicating a closure rate of 0% and a low volume of activity.
安装
请先添加 Marketplace
/plugin marketplace add phuryn/pm-skills/plugin install pm-data-analytics@pm-skills质量评分
已验证类似扩展
Ads Performance Analytics
99How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
Cohort Analysis
99Analyze user retention by cohort. Use when: measuring customer retention; understanding lifecycle patterns; comparing acquisition cohorts; tracking engagement over time; identifying churn risks
OraClaw Forecast
100AI 代理的时间序列预测。ARIMA 和 Holt-Winters 预测(含置信区间)。预测收入、流量、价格或任何序列数据。推理延迟低于 5 毫秒。
Measure Dashboard Requirements
100Specifies requirements for an analytics dashboard including metrics, visualizations, filters, and data sources. Use when requesting dashboards from data teams, defining KPI tracking, or documenting reporting needs.
Meta Observer
100Track skill performance and emerging patterns
Market Movers
100When the user wants to track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions "chart movers", "rank changes", "who's rising", "who's falling", "new chart entries", "top gainers", or "market shifts". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.