Accurate enough to rank customers reliably, not to guarantee what any one person will do. We measure accuracy on customers the model has never seen and show you the results before anything goes live.

Do we have enough data?

Usually you need a few thousand customers with at least two years of history. If you don't, we'll say so and use simpler scoring rules that still work.

What do we do with the scores?

Decide who gets a personal follow-up, who's ready for a package, and who doesn't need a discount. Engagement Automation can act on them for you.

Is our customer data safe?

It stays in your systems and ours, is used only for your model, and never includes health notes.

Predictive Customer Scoring

Predictive lifetime value and retention modeling

Know what a new customer is likely to do after their first visit

We train a model on your customer history, then score every new customer after their first visit: how likely they are to return, and what they're likely to spend.

First-visit scoreIllustrative

First visitSignature serviceBooked onlineNo discount

Score

Return likelihoodHigh

Predicted 12-month value$620

TagLikely regular

The question we answer

Which of today's new customers will become your regulars?

What you get

Model readiness check: whether your data can support reliable predictions
A trained model for return likelihood and 12-month value
Accuracy report on customers the model never saw
Automatic scoring of new customers after each first visit
Scores and tags written back to your booking system or CRM
Monthly accuracy checks and retraining

Data we need

At least two years of booking and transaction history in your booking system. We'll tell you in the Data Health Check whether your data supports a model.

Our approach

Predictive lifetime value and retention modeling

Predictions you can check, tested on customers the model never saw before anyone acts on them.

Engage this service on its own or within our Revenue Intelligence Program. Sample output shown is illustrative.

FAQ

Questions, answered.

Accurate enough to rank customers reliably, not to guarantee what any one person will do. We measure accuracy on customers the model has never seen and show you the results before anything goes live.
Usually you need a few thousand customers with at least two years of history. If you don't, we'll say so and use simpler scoring rules that still work.
Decide who gets a personal follow-up, who's ready for a package, and who doesn't need a discount. Engagement Automation can act on them for you.
It stays in your systems and ours, is used only for your model, and never includes health notes.

Related services

Start with a free, 10‑minute assessment.

Every engagement begins with the AI readiness assessment and a call to go through your results.

Take the free assessment Or book a call

Know what a new customer is likely to do after their first visit

Which of today's new customers will become your regulars?

What you get

Data we need

Our approach

Questions, answered.

01How accurate is it?

02Do we have enough data?

03What do we do with the scores?

04Is our customer data safe?

Also in customer intelligence

Start with a free, 10‑minute assessment.