Subscriber Cohort LTV Modeling

Cohort LTV & Subscriber Retention Modeling

Dynamic lifetime value models based on actual renewal decay rates rather than simplistic linear assumptions. Includes empirical payback period calculations and discount-rate adjusted customer equity.

Engagement Format Targeted Analytical Engagement

Timeline / Duration 2 Calendar Weeks (10 Business Days)

Delivery Mode Remote Analytical Delivery

Pricing Basis US$ 4,600 Fixed Project Fee

Actuarial-Grade Lifetime Value Modeling for Mobile Subscriptions

Many subscription mobile applications rely on simplified arithmetic formulas—such as LTV = ARPU / Monthly Churn—that assume exponential, steady-state customer decay. In reality, mobile subscription churn is non-linear, with steep cliffs occurring immediately following trial expirations and month-13 annual subscription renewals.

Neuron Spire Core constructs empirical, actuarial-grade cohort models that reflect how real human users retain, renew, and lapse across distinct billing durations and geographic markets.

What This Engagement Covers

Unblended Plan Cohort Construction: We segment users by their exact initial purchase commitment (weekly, monthly, quarterly, annual, or promotional trial). This reveals the distinct financial lifetime of each subscriber category without masking poor annual retention behind steady monthly numbers.
Empirical Decay Curve Fitting: We apply parametric survival curves (Weibull and Shifted Beta Geometric models) fitted to your historical transaction logs, providing realistic long-horizon cashflow projections rather than optimistic linear extrapolations.
Payback Horizon Calculation: We calculate the exact calendar month when net store proceeds from an acquisition cohort surpass the blended cost of acquisition, factoring in payment processing fees, store commission drops (from 30% to 15%), and tax withholdings.
Customer Equity Ledger: A calibrated spreadsheet model that updates cohort maturity estimates as new monthly transactions settle.

Who Benefits Most

This modeling engagement is designed for mobile growth leads and performance marketers who need defensible, cohort-level ROAS targets to scale paid acquisition campaigns without risking cashflow deficits.