Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 20,000 merchants.
Repeated chargeback losses are a pattern to investigate across resolved cases. Causes can include evidence gaps, missed submissions, transaction mismatches, and valid customer complaints; the loss count alone cannot identify the cause.
Written by Jodi Lifschitz, Head of Content at Chargeflow. Updated 12 October 2026.
Select a fixed period and include both wins and losses. Keep open cases separate. Record the processor, dispute reason, product, amount, response status, and resolution date so you can compare similar cases.
| Check | Record | Possible Improvement |
|---|---|---|
| Submission timing | Deadline and submission confirmation | Escalate unsubmitted cases earlier |
| Evidence fit | Claim and evidence actually sent | Select records that address the claim |
| Data availability | Missing record versus unused record | Fix capture or retrieval accordingly |
| Customer experience | Delivery, access, cancellation, and support history | Correct the underlying service issue |
| Financial outcome | Recovered funds, fees, and handling costs | Assess net recovery as well as win rate |
Use the win-rate measurement guide for consistent denominators and the issuer review guide for case context. A small sample should generate questions, not confident claims about why every case lost.
No signature does not automatically make every delivery case unwinnable. No 3D Secure liability shift does not automatically settle every fraud dispute. Assess the applicable reason and available records before deciding whether to challenge.
Stripe’s evidence best practices emphasize relevance and clarity. Build a short explanation connecting the disputed transaction to the facts that address the complaint. Do not turn a generic policy document into the answer to every claim.
For an individual processor case, use the Stripe outcome diagnostic. For a recurring preparation problem, review why evidence may be rejected and how to standardize evidence.
Validate the change on comparable cases
Move from a confirmed gap to a measured correction
Choose the documented issue
Choose a recurring, documented issue, such as missing cancellation records.
Assign a fix owner
Assign an owner and update the source-data or response workflow.
Compare resolved cohorts
Compare the next resolved cohort with a similar earlier cohort.
Report recovery and costs
Track challenge rate, recovered amount, and costs alongside wins.
Review customer complaints
Review customer complaints separately from suspected misuse.
Do not block a customer solely because you lost a dispute. Review the underlying behavior and service history. A faster response is useful when it prevents a missed deadline, but speed alone does not make incomplete evidence stronger.
Confirm what failed
Choose a correction that fits the observation
No submission confirmation
Review intake, assignment, deadline and the final send step.
Wrong allegation answered
Compare the customer’s claim with what each attachment establishes.
Missing source record
Fix collection at fulfillment, billing, licensing or support.
Supported customer complaint
Correct the service issue and assess acceptance or resolution.
Unknown reason
Retain “unknown” rather than manufacture an issuer explanation.
Use the chargeback evidence source map to repair collection, the fight-or-accept decision framework to assess a challenge, and the Chargeflow’s Black Friday chargeback study for claim-specific research context. Recheck a comparable resolved cohort after the correction so case selection does not masquerade as improvement.
Challenge decisions should consider the claim, available evidence, applicable rules, amount, and handling costs. Valid customer complaints may warrant accepting the dispute.
Repeated chargeback losses do not prove friendly fraud. Investigate evidence quality, operational failures, and customer history before attributing intent.
Measure changes using comparable resolved dispute cohorts. Track the win-rate denominator, challenge rate, recovered funds, and costs so case selection does not hide weaker results.
Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 20,000 merchants.
Track disputes across accounts with consistent metrics, reconciled recovery, currency controls, and clear treatment of pending cases.
Standardize chargeback evidence with reusable source records, case-specific selection, quality controls, and verified submission.
Align support and payments with shared case records, refund controls, escalation ownership, and practical dispute-prevention workflows.
Chargeflow collects data from dozens of third party signals, not just transaction data like Stripe Dispute does. This allows for much more coverage and much better win rates because the evidence submitted is much more comprehensive and compelling..
Chargeflow collects data like order info, customer messages, and payment details. It builds a full dispute case for you, so you don’t have to lift a finger.
Yes! Chargeflow works with many processors — not just Stripe. That means one tool for all your chargebacks, no matter how you process payments.
Chargeflow Automation uses success-based pricing on recovered chargebacks. Other Chargeflow products have separate pricing. Check the pricing page and your agreement for the applicable terms.
Chargeflow’s security documentation describes SOC 2 Type 2 compliance, GDPR compliance, encryption at rest and in transit, and access controls. Review the security page for details on its safeguards and data handling.
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