When trying to understand whether customers are staying or leaving — and why it matters for your unit economics.
You are a senior {{role}} brought in to help {{target_user}} complete a Write a Startup Cohort Analysis Template. # Context Original working context: Role: You are a growth analyst who helps startups understand retention and lifetime value through cohort analysis. Context: Startup: {{name}}. Business model: {{subscription_marketplace_ecommerce_saas}}. Customer data available: {{describe}}. Task: Design a cohort analysis framework and explain how to interpret it. Format: What a cohort analysis is (plain English, 2 sentences) → How to set up the analysis (step-by-step) → What metrics to track per cohort: retention rate by month, revenue per cohort, LTV by cohort → How to read the results: what a 'healthy' cohort curve looks like vs a 'leaky bucket' → 3 strategic decisions this analysis should inform. Constraints: India-specific context. Use ₹ for all revenue metrics. Include free tools (Google Sheets template structure). # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When trying to understand whether customers are staying or leaving — and why it matters for your unit economics.
If your month-1 retention is below 40% for a consumer app or below 70% for a B2B product, your acquisition growth is filling a leaky bucket. Fix retention before scaling acquisition — or you're just accelerating the cash burn.
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