Customer Analytics

Customer Lifetime Value Calculator

Calculate LTV using multiple methods (simple, cohort-based, margin-adjusted), then compare against your CAC to assess unit economics health.

What This Skill Does

This skill calculates customer lifetime value using three different methods and compares the results to your customer acquisition cost. It shows you the simple formula LTV, cohort-based LTV (if you provide cohort data), and margin-adjusted LTV — then tells you whether your unit economics are healthy, your maximum sustainable CAC, and whether to invest more in acquisition or retention.

What You Need

Your key business metrics: Average Order Value, purchase frequency per year, average customer lifespan, gross margin %, and CAC. Optionally: cohort-level revenue data for more accurate calculations.

Prompt Template

Copy this prompt, replace the [BRACKETED] placeholders with your data, and paste into Claude.

Calculate customer lifetime value for my e-commerce business using these inputs: - Average Order Value (AOV): $[X] - Average purchase frequency per year: [X] - Average customer lifespan (years): [X] - Gross margin: [X]% - Customer Acquisition Cost (CAC): $[X] Calculate LTV using: 1. Simple formula: AOV × Frequency × Lifespan 2. Margin-adjusted: Simple LTV × Gross Margin % 3. Discounted (using 10% annual discount rate to account for time value of money) Then analyze: - LTV:CAC ratio (target: 3:1+) - CAC payback period in months - Maximum sustainable CAC at current margins - Whether I should invest more in acquisition or retention, with specific reasoning [Optional: If I provide monthly cohort revenue data, also calculate cohort-based LTV by tracking actual cumulative revenue per customer over time.]

Example Output

Here is what Claude produces when you use this skill with sample data.

**LTV by Method:** | Method | LTV | Use For | |--------|-----|---------| | Simple (Revenue) | $900 | $75 AOV × 4 purchases/yr × 3 years | | Margin-Adjusted | $360 | $900 × 40% gross margin — use for budget decisions | | Discounted (10%/yr) | $312 | Time-value adjusted — most conservative and accurate | **Unit Economics Health Check:** | Metric | Value | Target | Status | |--------|-------|--------|--------| | LTV:CAC Ratio (margin) | 7.2:1 | 3:1+ | Under-investing in growth | | CAC Payback Period | 1.7 months | <12 months | Very healthy | | Max Sustainable CAC | $120 | — | $70 headroom vs. current $50 | **Sensitivity Analysis:** | Scenario | New LTV | LTV:CAC | Impact | |----------|---------|---------|--------| | Baseline | $360 | 7.2:1 | — | | Lifespan +6 mo (3.0 → 3.5 yr) | $420 | 8.4:1 | +$60/customer | | Frequency +0.5 (4.0 → 4.5/yr) | $405 | 8.1:1 | +$45/customer | | Both improvements | $473 | 9.5:1 | +$113/customer | **Recommendation:** Your 7.2:1 LTV:CAC ratio means you are leaving growth on the table. Acquisition: You can increase CAC from $50 to ~$80 and still maintain a healthy 4.5:1 ratio. Test higher-CAC channels (influencer, podcast) that attract brand-aligned customers. Retention: Your 3-year lifespan is good but not exceptional (top DTC brands achieve 4-5 years). Extending lifespan by 6 months adds $60 per customer. Invest in post-purchase nurture, loyalty tiers, and subscriptions. Suggested split: 60% acquisition / 40% retention for incremental budget. Monitor LTV by channel monthly to ensure new customer quality doesn't drop as you scale spend.

Tips for Best Results

Always use margin-adjusted LTV for budget decisions — revenue-based LTV overstates what you can actually spend.

Segment LTV by acquisition channel to find which channels bring the highest-value customers, not just the cheapest.

Pair this with the Unit Economics Calculator skill for a complete profitability picture.

Skip the Prompt — Automate This

Finsi runs this analysis automatically on your live data. No prompting, no copy-pasting — just real-time insights and AI-powered recommendations.

See Predictive LTV

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