Chargeback Reduction Triage (Onboarding)

Chargeback Reduction Triage (Onboarding)

1. 01

   Map the client's transaction flow to locate where fraud losses actually occur

   Pull 90 days of chargeback and decline data, then segment by payment method, device type, and geography to identify the highest-loss entry points before configuring any risk tooling.

2. 02

   Inventory existing fraud controls and signal sources

   Document current rules, blacklists, and any device or IP intelligence already in use, noting which signals (email, IP, behavioral) are missing or stale.

3. 03

   Define a baseline false-positive rate and chargeback ratio target

   Agree with the client on measurable goals, such as reducing chargebacks below 0.5% of transactions or cutting false declines by 20%, so the triage has a clear success metric.

4. 04

   Select a primary risk signal provider and a secondary fallback

   Compare device fingerprinting platforms like Fingerprint against IP and email intelligence suites such as IPQS, then choose one as the primary scorer and another to cross-validate high-risk flags.

5. 05

   Configure risk thresholds in a staging environment first

   Run 30 days of historical transactions through the chosen tools to tune score cutoffs without affecting live traffic, and document the precision-recall tradeoff at each threshold.

6. 06

   Build a review queue for human analysts to handle borderline cases

   Set up a dashboard that surfaces transactions scoring in the gray zone (for example, between 40 and 70 on a 0-100 risk scale) so staff can manually approve or reject without slowing checkout.

7. 07

   Establish a feedback loop that feeds manual decisions back into the scoring model

   Tag each reviewed transaction with the final outcome and reason code, then schedule weekly exports back to the risk vendor to improve signal accuracy over time.

8. 08

   Document the triage workflow and assign an internal owner

   Write a runbook covering threshold changes, escalation paths, and vendor contacts, and name a single analyst responsible for monitoring chargeback metrics and adjusting rules monthly.