The LTV clarity method

From a live business question to evidence your team trusts.

A disciplined four-stage process built for app teams—not a generic analytics installation.

01 / Frame

Define the decision before touching the model.

We align stakeholders on the exact choice ahead, the customer group involved, the useful time horizon, and what evidence would change the decision.

  • Decision framing session
  • Assumption register
  • Success criteria
02 / Trace

Follow identity, behaviour, and revenue to source.

We inspect how users become customers, how key events are defined, and how transactions, renewals, and refunds connect. Data gaps stay visible.

  • Source and event map
  • Quality checks
  • Cohort definitions
03 / Model

Build the smallest model that answers well.

We select observed or predicted LTV, margin treatment, segmentation, and confidence limits to fit the decision—not to maximise complexity.

  • Reproducible analysis
  • Scenario comparison
  • Documented logic
04 / Act

Translate findings into owned next moves.

We facilitate the interpretation, distinguish evidence from inference, and leave a ranked action list with owners and review signals.

  • Working session
  • Decision memo
  • Measurement handover

Working principles

Visible assumptions

Every important definition and limitation travels with the result.

Useful precision

We seek enough accuracy to decide—not false certainty.

Team ownership

Your people understand the model and can challenge it.

Begin at stage one

What decision would a clearer LTV view unlock?

Frame the question with us