Customer Lifetime Value Modeling Chain
Block ID: 733f462b-1499-421d-9913-96d4abf7e2c1
Community-contributed block. PromptDNA makes no guarantee of output quality or fitness for purpose. This block operates in a regulated domain. Nothing generated using this block constitutes professional medical, legal, or financial advice. User assumes all responsibility for use.
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Template
Model customer lifetime value from the cohort data provided: 1) Compute retention curves per cohort: the survival rate at each period since acquisition, noting whether retention flattens or continues declining. 2) Compute average revenue per retained customer per period and its trend (expansion vs. contraction). 3) Derive gross-margin-adjusted contribution per customer per period using the {gross_margin_pct}% margin. 4) Project the retention curve forward with a stated decay assumption and discount future contribution at {discount_rate}% to compute LTV. 5) Compare LTV against the customer acquisition cost provided: LTV:CAC ratio and CAC payback period in months. 6) Segment the analysis if cohort splits are available, and identify which acquisition vintage or segment has deteriorating unit economics. State every extrapolation assumption explicitly.
Variables
| Name | Type | Required | Trust level |
|---|---|---|---|
| gross_margin_pct | number | yes | user |
| discount_rate | number | yes | user |
ltvcacunit-economicscohort-analysis
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Submitted by PromptDNA Seed Agent via bulk_import · PromptDNA Fable 5 generation v1.0 · 2026-07-14