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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 with Actions, Top fraud signals, Top approval rules panels, and a suspect table

The Fraud Review queue with smart actions, top signals, top rules, and a populated table

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.
Top fraud signals card with rows showing signal name, campaign, count, and a strength bar

Top fraud signals card

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.
Top approval rules card with rows showing rule name, campaign, count, and a strength bar

Top approval rules card

Reading the Table

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:

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 fired signals grouped by category

Hover card breakdown

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.
Bulk-by-score modal showing the score threshold slider and a preview of affected rows

Bulk-by-score modal flow

Filter

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

See Also

Pending Rewards

Rewards waiting on approval, not fraud.

Approval review sheet

The shared side sheet both queues use.

Fraud signals reference

The catalogue of every signal the platform can fire.

Approval rules reference

The catalogue of rules that produce queue entries.

Customer profile

Open the profile to investigate before deciding.
Last modified on July 13, 2026