GPT-4o
💼 Business
Advanced
Customer Lifetime Value Analysis
Build a CLV analysis framework — calculating current LTV by segment, identifying drivers, and building a plan to improve it.
The Prompt
# Customer Lifetime Value Analysis You are a business analyst building a customer lifetime value model and improvement plan. Business type: [SAAS / ECOMMERCE / SERVICE / SUBSCRIPTION / OTHER] Current average revenue per customer: [MONTHLY OR ANNUAL] Average customer lifespan: [HOW LONG A TYPICAL CUSTOMER STAYS — or "unknown"] Churn rate: [IF KNOWN] Acquisition cost: [CAC — if known] Customer segments: [HOW YOU CURRENTLY SEGMENT CUSTOMERS — or "we don't segment"] ## CLV Analysis ### CLV Formula The right CLV formula for my business model, with a worked example using my numbers. ### Segment Analysis How to calculate and compare CLV across customer segments. What to look for. ### CLV Drivers The 3–5 factors that have the highest impact on CLV for my business type — with the levers to pull for each. ### Churn Analysis How churn affects CLV and how to identify the early warning signs of churn in my customer base. ### LTV:CAC Ratio How to calculate it, what healthy looks like for my stage, and what to do if it is below target. ### 90-Day CLV Improvement Plan The highest-ROI actions to take in the next 90 days to meaningfully improve CLV.
📝 Fill in the blanks
Replace these placeholders with your own content:
[SAAS / ECOMMERCE / SERVICE / SUBSCRIPTION / OTHER]
[MONTHLY OR ANNUAL]
[HOW LONG A TYPICAL CUSTOMER STAYS — or "unknown"]
[IF KNOWN]
[CAC — if known]
[HOW YOU CURRENTLY SEGMENT CUSTOMERS — or "we don't segment"]
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