Built for: Retail, e-commerce and B2B commercial teams.
What you can do
Import order history
Upload order lines with column mapping and a preview. Re-uploads are duplicate-safe, and any batch can be removed.
Predicted value with a range
Each customer’s predicted value and a range, grouped into value bands with a recommended action for each.
See why a customer’s number is what it is
Open any customer to see how their buying rhythm, what they buy and what they told you shaped their predicted value.
Customers who cost more than they bring in
Customers whose returns and cost to serve exceed what they spend are shown as their own group, rather than hidden at the bottom of a band.
See the accuracy
A backtest on held-out history shows how well the predictions ranked and calibrated on your data.
Value drivers
Value and affordable acquisition cost by channel, acquisition cohorts, and survey themes ranked by the value of the customers raising them.
Hand-offs that are recorded
Send at-risk customers to recovery, a theme to an action plan, a top band to an outreach audience, or a low-value band to a terms review.
Measure what worked
Compare spend change for customers you acted on with a matched comparison group, with small samples declined.
Tabs of your own
Build custom tabs from headline figures, bands, top customers, channels, topics, coverage and notes.
Settings with an audit trail
Horizon, profit or revenue basis, bands, and whether non-admins see currency values.
What it reads
- Order lines from your commerce system, the one file you are asked to send.
- How customers arrived and behave on your site, from Digital Experience.
- What customers told you, from your Customer Experience programme.
- Tickets and returns from your help desk, if you choose to connect it.
A signal that is not connected is listed as absent, never treated as neutral.
Works with
- Closed-Loop: turn unhappy responses into owned, tracked cases.
- Action Plans: improvement work with owners, targets and a verdict.
- Churn Modeling: which customers are likely to leave, and why.
- Experience to Impact: do loyalty and customer spend move together?