Three columns in
Customer ID, transaction date, and amount. Returns are reported separately and excluded from positive revenue.
Free revenue protection radar
Find the revenue
you could lose next.
Your customer base is already telling you where growth is strong, where it is thinning out, and how much revenue depends on too few accounts.
Your file never leaves your browser Free About 10 minutes
Drop your transaction CSV hereCustomer ID, transaction date, amount
64out of 100
Some exposure
Your revenue base has strength, but two patterns deserve a closer look.
Early warningRetention fell 7 points
One file. A much sharper question.
What would you do if you could see the weak spots before they hit revenue?
- 01
Protect the accounts carrying the business. See how many customers your revenue depends on.
- 02
Catch a retention slide earlier. Compare recent behavior with your own history.
- 03
Put a dollar figure on the next three years. See what the current customer base may produce.
Illustrative sample report
Your customer base has strength.
It also has a pressure point.
Sample preview only. These figures are not calculated from your data.
64out of 100
Some exposure
$1.8M of revenue depends on your top 12 customers.
Retention is holding up better than concentration. The score shows where to look first.
61% sits with the top 10%
68% latest annual retention
Revenue is up 2.4%
EvidenceIllustrative
Run the sample or upload a CSV for a real Evidence rating.
Customer value map
Where the revenue sits
Illustrative customer segments
High48%
Medium27%
Low14%
New8%
Churned3%
High18448%$8.2M
Medium48427%$3.1M
Low69214%$814K
New5538%$506K
Churned3923%$21K
ACME-2048$184,220
CUST-0192$142,860
NORTH-441$98,410
Built from real customer economics
“The revenue total looked healthy. The customer-level view showed where the risk was hiding.”
A global nutrition company · A promotional products company
How the free estimate works
Measured from your history.
Clear about its limits.
Radar uses your purchase history to measure concentration, retention, momentum, and customer value. It is a fast, directional read calculated inside your browser.
Your patterns, measured
Retention comes from consecutive fully covered calendar years. Customer value is a transparent heuristic.
Natural customer groups
Value groups follow deterministic natural breaks and adapt when the data supports fewer groups.
A fast signal
Deterministic heuristic estimates and a three-year existing-customer view, computed in your browser.
Deeper customer intelligence
Probabilistic customer models, posterior diagnostics, uncertainty information, and a working session.
Go from signal to action
Know exactly which customers to protect, grow, and win back.
The diagnostic turns your complete transaction history into a customer-level revenue plan. You get modeled results, a ranked customer list, and a working session with Allison.
- Individual customer value with uncertainty information
- Customer-level value patterns and trajectories
- Prioritized actions tied to revenue