How is this different from a simple LTV calculator?
Simple calculators use avg. revenue × avg. tenure — ignoring churn patterns and censored data. LTV Analyzer uses survival analysis (Kaplan-Meier + Weibull) to produce statistically grounded LTV estimates that hold up under scrutiny.
What does LTV∞ mean in practice?
LTV∞ is the theoretical lifetime value derived from integrating the Weibull survival function — the expected total revenue (or gross profit) if a customer remained indefinitely. The tool outputs both a revenue-based and gross profit-based figure. In practice, you can apply any time horizon (1 year, 3 years, 5 years) to compare scenarios on your own terms.
Can I compare LTV across customer segments?
With the Standard plan, you can run separate analyses per segment — for example, one CSV per acquisition channel, age group, or region. The Advanced plan handles this automatically: upload a single file with up to five segment columns, and the tool runs segment-level comparisons and ranks your highest-value segments in one report.
What exactly does the tool output?
The Kaplan-Meier survival curve, Weibull fitting parameters (κ and λ), and the expected customer lifetime value — the theoretical LTV derived from integrating the Weibull model. Results export directly to Excel, PowerPoint, and PDF.
What data format do I need?
Less than you'd expect. A minimal CSV with anonymized customer IDs, start date, churn date (or active status) / last purchase date, and total revenue per customer. No personal data required. The tool handles censored observations — customers still active at analysis time — automatically.Advanced — add up to five segment columns to the same CSV. One file, full breakdown.
Do I need a statistics background to use this tool?
No. The tool handles all statistical modeling internally. You don't need a statistics background — just the ability to make business decisions based on the results. Each report includes plain-language explanations, so you can interpret the output and act on it without technical expertise.
How does the CAC ceiling work?
The tool calculates LTV∞ on a gross profit basis. You set your target LTV:CAC ratio using a slider (e.g. 3.0:1), and the tool automatically derives your CAC ceiling. You decide the ratio — the tool does the math.
Why do I need to enter GPM?
GPM (gross profit margin) lets the tool output LTV on both a revenue basis and a gross profit basis. The gross profit LTV is what matters for CAC decisions — spending against revenue LTV overstates how much you can actually afford to acquire a customer. For businesses where GPM varies across products or services, use your blended average GPM as a starting point — or split your dataset by category and run separate analyses for more precise results.
What are the AI prompts included?
Each report includes pre-written prompts you can paste into Claude, ChatGPT, or Gemini to interpret your results — covering model fit, marketing strategy, and analytical validation. No statistics background required to get actionable insights.
Why 1,000+ observations?
Kaplan-Meier estimation and Weibull fitting both require sufficient sample size for a reliable R² fit score. Below ~1,000 observations the model will run but R² may be lower and results should be treated as directional only. For segment analysis (Advanced), 200+ observations per segment is recommended — below that, Weibull parameter estimation becomes unstable.
Can I use this for client deliverables?
Yes. The single-user license covers use across your client projects. For team or firm-wide licensing,
contact us directly.
