That’s the trouble with averages: they drop useful information for the sake of simplicity. Lifetime value should be your north star, but the metric doesn’t connect to the day-to-day work of marketing, loyalty, and customer teams because it doesn’t reflect the way customers actually behave.
The naive LTV calculation is the sum of discounted cashflows times your aggregate retention rate. It’s a finance metric, not a marketing one. If your customers’ year 1 and year 2 retention will be the same, that calculation works perfectly. But if, like most businesses, new customer cohorts churn quickly at first, slow, then stabilize, the naive calculation will underestimate your customer lifetime value by 20–40% or more.
So What?
What would you do with 40% more budget? How much more market could you capture? How much more competitive would you be? How many subscribers could you retain?
Subscriber Accounting
Subscriber counts are the basis of reporting and valuation. Modeling churn heterogeneity will improve your forward looking subscriber count and revenue reporting by 10–30% or more.
Growth Spend
Your CAC ceiling is ratioed to LTV. Don’t leave growth on the table by underestimating how much your customers are worth.
Board Planning & Guidance
Resource allocation, investment, and public facing management decisions are all fundamentally tied to LTV. Whether you’re fundraising, restructuring, or deciding on a new strategic direction of your business, accurate valuation of your products is essential.
Firm Valuation
LTV can impact DCF and multiplier valuation options, as well as signal a higher terminal valuation. A 40% increase in the residual value of your customer base, post CAC, can significantly impact your firm's valuation.
Ad Planning
You have an ad-supported platform but you’re dumping excess user capacity into low-value ad buys because your plan didn’t account for churn heterogeneity. Improve customer targeting and ad buy plans at the same time.
Lifecycle Marketing
Who to target? When? With what offer? Old Faithful builds the foundation of customer journey timing and value so that you can make those decisions confidently.
Complete Subscriber Journey
The subscriber's customer journey doesn't end with churn. Many businesses struggle to describe product switching patterns, reacquisition profiles, and build lifecycle marketing strategies that account for these customer differences.
Old Faithful creates a complete picture of the subscriber lifecycle to value your subscriptions, products, and their total journey. Heterogeneity in churn, switching, intercontract duration, and reaquistion patterns all contribute to your total value.
Subscription Lifetime
The Core Problem — how long do subscribers survive?
Switch or Churn
The Dual-Risk Problem — when and how will subscriber change states?
Subscriber Lapse
The Hidden Problem — how long until a subscriber reconnects?
Reacquisition
The Zombie Problem — how often do subscribers return? How does their value change?
← Reacquisition cycles back to a new subscription
or permanent churn ↓
Retention
Today
Retention work gets triaged by tenure, plan, or recent activity. Those are proxies for risk, not measures of it. Effort spreads evenly across customers who don’t need it and misses the ones who do.
With Old Faithful
A daily ranked list of customers by value at risk — with the expected lift of intervention and the cost of inaction next to each one. Built so the operator works the list from the top, not the inbox.
Reacquisition
Today
Win-back campaigns go to everyone who churned, with one offer, on a single calendar. Most reachouts hit people who weren’t coming back regardless, or who would have returned without an offer.
With Old Faithful
Lapsed and churned customers ranked by probability of return and expected value if reacquired — with how those numbers shift by offer type and timing. Spend win-back budget where it’s likely to pay back.
Measurement
Today
LTV, CAC payback, and forecasting come from averages and trailing curves that flatten the patterns that actually matter: pauses, switches, multi-product behavior, channel quality. The numbers look clean and they’re wrong in defensible-sounding ways.
With Old Faithful
LTV by cohort, channel, and campaign with honest confidence bands. Payback curves that flag channels where acquisition cost is outrunning probable value. Forecasts at 1, 3, 6, and 12 months with ranges that hold up in a board meeting.
Growth
Today
Upsell timing, cross-sell propensity, and expansion signals get inferred from tenure or recent activity. The behaviors that actually predict openness to a higher tier, an add-on, or a referral are buried in data nobody has time to pull.
With Old Faithful
Behavioral signals from your existing data, surfaced as ranked recommendations: which customer is open to which conversation, when. The who, the when, the why — each backed by the math behind it.
Built for the owners, operators, and marketing, loyalty, and LTV teams who answer for the customer number — in subscription, membership, repeat purchase, or any business where the customer relationship compounds.