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Fraud Review is the queue of referrals the platform isn’t confident about. Each row is a referral the system would have auto-rewarded but didn’t, because either an automatic fraud signal pushed the score past a campaign threshold, or one of your approval rules tripped. Your job here is to clear the queue: approve genuine activity, decline what’s gamed.
Fraud Review page showing Actions, Top fraud signals, Top approval rules panels and a table of suspects

Top-of-page panels

Actions

Up to three smart suggestions, generated from the state of the queue.

Top fraud signals

Lists the signals contributing the most to your current fraud scores. Each row shows the signal name, the campaign it’s most active in, a count, and a coloured bar showing how strong it is right now. Use this to dial down a signal that’s catching too much legitimate activity (or up, if too little). See the fraud signals reference for the full catalogue.
Card with rows like 'Both use same IP address - Summer launch 34', 'Referrer and referee have similar emails - VIP programme 22', each with a coloured strength bar

Top approval rules

Lists the approval rules most often forcing a manual review. Use this to loosen a rule that’s creating a queue you don’t need to read. See the approval rules reference for the full catalogue.
Card with rows like 'Referrer fraud-score threshold - Summer launch 41', 'Daily referral cap (per referrer) - VIP programme 17', each with a coloured strength bar

Reading the table

ColumnWhat it shows
CheckboxBulk select.
NameCustomer name + avatar.
EmailEmail on file. “Purged email” if the customer has been purged but the suspect record remains.
TypeReferrer / Referee.
AgeHow long the entry has been waiting.
AssessmentA verdict badge + a short list of signal headlines. Hover for the full breakdown. See The Assessment cell.
Flag iconPin for follow-up.
Approve / DeclinePer-row decision.

The Assessment cell

The Assessment column shows a verdict badge and the top two signal headlines that contributed to it. The verdict combines automatic fraud signals and any approval-rule reasons fired on the same referral:
VerdictColourMeaning
Likely fraudRedA high-severity signal fired (e.g. on a known suspect list), or the fraud score is at least 67. Strong recommendation to decline.
Possible fraudAmberA medium-severity signal fired (identity overlap, red-flag email, suspicious timing), or the score is at least 34. Worth investigating.
Worth checkingGreenLow score and no severe signals, but worth a glance before approving.
Manual reviewGreyCaught by an approval rule with no fraud-score component (e.g. a velocity limit, an eligibility rule). The platform isn’t making a fraud call.

Hover card

Hover the verdict badge to open a popover with the full breakdown:
  • The verdict label and the current fraud score (if any).
  • Every fired signal, grouped by signal bucket (e.g. “Looks like the same person”, “Red-flag email”, “Suspicious timing”).
  • Within each bucket, the individual signal labels with any per-signal values (counts, time windows).
  • Any approval-rule reasons that don’t fit a fraud-signal bucket, listed under Other.
Hover card showing the verdict label, fraud score, and a list of fired signals grouped by category like 'Looks like the same person' with per-signal labels underneath
If the cell has more than two signal headlines, the remainder is shown as +N more signals. The hover card always shows everything.

Approving a suspect

1

Click the row

The approval review sheet slides in from the right with the full customer context, every fired signal, and the linked referral.
2

Investigate

Read the activity timeline in the sheet. Check the Insights bullet. Look at any other recent suspects with the same referrer.
3

Decide

Click Approve to let the referral and any pending reward go through, or Decline to reject it. See Decline a suspect for the dialog options.
Approving a suspect counts as a manual override. The platform records it on the customer’s Admin tab so you have an audit trail.

Decline a suspect

The decline flow is identical to the one in Pending Rewards: a confirmation dialog with an optional note and a choice between Decline silently and Decline and notify.

Bulk by score

Use the Bulk-by-score action in the Actions panel to decide on many suspects at once based on their fraud score. Useful when a signal is producing obvious false positives at a known threshold.
Clicking Bulk-by-score, sliding the score threshold to 80, previewing the affected rows, and confirming Approve

Filter

The Filter button exposes Type (All / Referrer / Referee). Press F to focus it from anywhere.

See also

Last modified on May 15, 2026