The Friendly Fraud Tax
If you run a high-volume merchant operation, you already know the frustration: a customer buys a product, consumes the service, and then files a chargeback claiming "unauthorised transaction."
You submit your receipt and order details, only to receive a rejection from the issuing bank 30 days later.
Why does this keep happening?
Most merchants lose disputes not because they are wrong, but because of procedural asymmetry:
Emotional Noise: Merchants submit unstructured, angry narrative explanations that bank adjudicators ignore.
Missing Telemetry: Standard receipts lack the specific IP traces, device fingerprints, and 3DS logs required under Visa and Mastercard compelling evidence rules.
Framing Evidence for Bank Lenses
To win representments against friendly fraud, evidence must be translated into deterministic, neutral data models that match card network compel criteria.
Here are the 3 pillars of bank-ready evidence:
Noise Reduction: Strip out subjective arguments and present facts in neutral, 3rd-person institutional language.
Telemetry Cross-Referencing: Match customer login timestamps and IP locations directly against standard network compel rules.
Structured Write-Backs: Deliver evidence directly into processor schemas (Stripe, Adyen, Airtable) without manual copy-pasting.
Thanks for reading Issue #01 of Dispute Intelligence. Reply directly to this email if you have questions about structuring your current chargeback evidence.