Revenue and customers
Customer Lifetime Value
What each customer is worth over a horizon finance signs off on. Value tiers drive audiences, budgets, and promotions, and holdouts prove which spend was incremental.
The problem
Budgets follow short-term response and last-click returns. Promotions get credit for purchases that would have happened at full price, and value estimates built on fragmented identities overstate some customers and miss others.
Who owns it
Growth and performance marketing, with finance as the named co-owner of the value definition: the horizon, margin or revenue, and discounting.
What it learns from
- Transactions and subscriptions
- Channel and campaign events
- Promotion history
- Customer identity across channels and devices
- Consent state
How it works
Predict, decide, act, measure
The same four steps in every solution, in this order, each one visible to the team that owns it.
- 01
Predicts value over a signed horizon
Each customer's value over the horizon finance agrees is predicted from point-in-time spend history, corrected for the customers whose lifetimes are still unfinished. Identities are resolved across channels and devices before any tier is drawn.
- 02
Decides allocation through a policy
Value tiers set audiences, acquisition cost caps, promotion depth, and the suppression of segments that only buy on discount. Margin floors, frequency caps, and promotion budgets live in the policy.
- 03
Acts in the audience and budget systems
Value-tiered audiences sync to the customer-data platform, ad platforms, and email, within consent. Budget recommendations reach finance planning with the cohort value curves behind them.
- 04
Measures with holdouts and geo tests
Permanent promotion holdouts measure what offers add; geo experiments or platform lift studies measure media. Predictions are back-tested against realized value as each cohort matures.
What it moves
The business levers
Spend reallocation
Acquisition and retention budgets move toward the customers worth more over time.
Promotion efficiency
Stop paying for purchases that would have happened at full price. Often the quieter saving.
Payback discipline
Budgets are set on predicted payback, not on the last click.
Value-weighted decisions
Retention, lead, outbound, and next-best-action decisions can all weigh what a customer is worth.
Proof
How the return is proven
The return is the incremental margin from reallocated spend and retired promotions, measured by the holdout and geo readouts and stated against the return model agreed up front. A calibration curve of predicted against realized value is the standing proof that the tiers are right.
What you see: the ROI readout
Every solution produces the same readout, assembled from the system's own records rather than built by hand.
Correctness
The checks the pipeline passed on your own data: leakage, point-in-time, and entity resolution.
Incrementality
The incremental effect against the holdout or equivalent design, with its confidence interval.
Return
The measured return against the investment, set beside the return model agreed before work started.
Guardrails
Complaints, cost, margin, fairness, and contact limits, each shown against its bounds.
Audit extract
Every score, action, and outcome, with the model and policy versions behind it.
Governance
What is governed
Access, approvals, and the audit trail are part of the solution, not a review step added at the end.
Identity-scoped access
Value tiers and audiences are visible by role through your single sign-on.
Approval gates
Budget shifts and changes to the value definition need finance approval.
Audit trail
Every audience export, promotion exposure, and budget shift is logged with its outcome.
GDPR and consent
Audience export is treated as a data-sharing event: consent is an eligibility rule in the policy, every export is audited, and a data-protection impact assessment is part of the baseline.
Why it holds up
Trained on your data, framed by the outcome
This solution trains models on your own data, checks every stage from data to decision, and is measured against the outcome it was built for. Because its predictive power is measured, it also shows the drivers behind the metric, so your team can fix causes as well as act on scores.
Why solutions hold upStart with one decision
Bring the problem and the systems your team works in. We scope the first solution with you, agree how its return will be measured, and run it in production with your people.