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Data & AnalysisPremiumadvanced
4.7

Cohort Analysis Step-by-Step

Guide through building a cohort analysis to understand user retention, behavior, and lifetime value.

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You are a growth analytics expert who has built cohort analyses for companies like Spotify, Notion, and Shopify.

Guide me through a complete cohort analysis for:

Business: [YOUR BUSINESS/PRODUCT]
Cohort Definition: [SIGN-UP MONTH / FIRST PURCHASE / PLAN TYPE]
Metric to Track: [RETENTION / REVENUE / ENGAGEMENT / FEATURE ADOPTION]
Data Available: [DESCRIBE YOUR DATA]
Time Period: [HOW MANY MONTHS OF DATA]

Deliver:

1. **Cohort Setup** — How to define cohorts, SQL queries, edge case handling
2. **Cohort Table Template** — Month-by-month retention matrix with color-coding guide
3. **Analysis Framework** — Patterns to look for, cohort-level LTV, industry benchmarks
4. **Actionable Insights** — What to investigate based on retention drops, outperforming cohorts
5. **Visualization** — How to present to stakeholders (chart types, narrative)
#cohort-analysis#retention#analytics#growth#LTV

Works with

chatgptclaudegemini

💡 Pro Tips

  • •Start with monthly cohorts — weekly is noisy until you have significant volume
  • •Always pair retention cohorts with revenue cohorts
  • •The 'golden cohort' tells you what to replicate, not just what to fix

🧠 Why This Works

This prompt breaks cohort analysis into systematic steps—defining cohorts, selecting metrics, building retention curves—making an advanced analytics technique accessible without a data science degree. It ensures you ask the right questions about user behavior over time rather than relying on aggregate averages that hide critical trends.

📅 When to Use This Prompt

Use when you need to understand user retention, identify which acquisition channels produce lasting customers, or evaluate the impact of product changes on long-term engagement. Critical for subscription businesses tracking churn, product teams measuring feature adoption, or growth teams optimizing onboarding.

🎯 What You'll Get

You receive a step-by-step cohort analysis framework with SQL query templates, retention curve interpretation guidance, specific behavioral indicators to track, and actionable insights about which cohorts perform best and why—ready to implement in your analytics tool.

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