Transaction velocity
Repeated attempts, unusual amounts and bursts of activity can tell a different story from a single transaction.
Good customers.
Cleaner payments.
Look beyond a card number. Put device, behavior and transaction context into the same conversation.
Discuss this pilot
A declined fraud attempt and a declined loyal customer can look identical in a payment report. They are not the same outcome.
Payment providers · Digital commerce · SubscriptionsWhat we look at.
Device consistency
A familiar account on an unfamiliar device deserves context, not an automatic conclusion.
Customer history
Prior activity and payment outcomes can help a team understand what is normal for that customer.
Inside the payment workflowSee the pattern.
See the pattern.
Follow the exposure.
Two views from the current build: card-testing signals and dispute monitoring. Figures shown here are illustrative.
Inspect velocity and BIN-attack signals within an imported report.
Bring repeated attempts and unusual BIN activity into view. Inspect the underlying pattern before deciding how to respond.
Select the image to inspect the interface
Review merchant dispute ratios and chargeback-maturation cohorts.
Follow dispute exposure at merchant level and account for how chargebacks mature over time. Use the view to frame a more informed review.
Select the image to inspect the interfaceFrom the working build · v1.13.0-exp.1 · Synthetic demonstration data
In practice.
An established customer makes a larger-than-usual purchase from a new device. A contextual review considers the combined signals before deciding whether to add friction.
Hypothetical example. Not a customer case study.Explore a decision exampleWhat a pilot
should tell us.
- Fraud loss against a defined baseline
- Legitimate approval and review rates
- Time spent investigating payment alerts