Every cashback campaign carries a quiet risk: that some of the money you set aside to reward real buyers ends up paying people who never bought anything. It rarely announces itself. The dashboard looks healthy, entries are climbing, and then the redemption rate creeps past what the budget assumed. By the time anyone asks why, the payouts have already gone out.
Promotional fraud is the part of campaign delivery that most plans skip until it bites. It is also one of the few areas where good execution shows up directly on the bottom line. At Trevor Services we build and run promotions for Australian brands, and the controls that keep fraud out are the same ones that keep a campaign’s results honest. Here is how we think about it.
What does promotional fraud actually look like?
Promotional fraud is any attempt to claim a reward without meeting the genuine conditions of a promotion. It splits into two rough camps, and they need different defences.
Most of what you will see is opportunistic. A shopper submits the same receipt twice under two email addresses. Someone photographs a friend’s receipt. A claimant edits the date or product name on an image to squeeze past the eligibility window. This is low-effort, high-volume, and usually solvable with good validation rules.
The other camp is organised, and it has become more capable. In a recent piece for Retail TouchPoints, Opia’s head of fraud described how groups now cycle through multiple identities, exploit loopholes in qualification rules, and time high-volume claim runs to short promotional windows where monitoring is weakest. The newer wrinkle is generative AI: bots that auto-fill claim forms with rotating identities, synthetic names and addresses that look real, and AI-generated receipts that pass a visual check but fail at the metadata or font-rendering layer. None of this requires much technical skill any more, which is exactly why it is spreading.
The uncomfortable part, as that article notes, is that most promotional vendors process claims but do not actively defend against fraud. Claims handling and fraud defence are different jobs, and assuming the first covers the second is how budgets quietly leak.
The controls that actually matter
Fraud defence is not one feature. It is a series of checks layered across the life of an entry, and each layer catches something the others miss.
It starts at entry. Unique single-use codes stop a code being shared and reused. Where a purchase has to be proven, receipt validation does the work: optical character recognition reads the retailer, date, products and spend off the image, then checks them against the promotion’s rules before anything is approved. On the campaigns Trevor runs, this is configured per promotion — which SKUs qualify, which dates count, whether a receipt is required at all, whether a code is needed. Getting those rules right at setup removes a large share of opportunistic claims before they ever reach a human.
The next layer is about pattern, not paperwork. A receipt can look perfect and still be the fiftieth one submitted from the same device. This is where velocity and behavioural signals matter — entry limits per person, daily caps, device and IP checks, and duplicate detection that hashes each receipt image and compares it against everything already processed. Snipp, another platform in this space, describes the same architecture: image-integrity analysis for signs of manipulation, cross-campaign duplicate hashing, and device and address clustering to surface organised submission patterns that individual images would never reveal. A claim that looks legitimate on its own often looks very different next to the hundred others sharing its fingerprint.
The last layer is the one people forget: the winner. Before a major prize or a large cashback is paid, it is worth verifying the claimant properly — confirming the purchase, the identity, and that the entry behaved like a real one. The cost of a failed check here is not just the prize. It is the compliance exposure if a fraudulent winner is announced publicly, and the cost of clawing back a payout that has already cleared.
How do you stop fraud without punishing real customers?
This is the question that actually decides whether a fraud strategy works, because the lazy answer — add more checks — quietly kills the promotion. Every extra step you ask of an entrant costs you genuine entries. In The Shelf Truth we call this friction as a cost, and it compounds: each additional form field or verification hurdle shaves entries off the top, and the people you lose are disproportionately the honest, casual participants you actually wanted.
The way through is to treat fraud risk as a score rather than a gate. Most submissions are low-risk and should sail through to approval with no extra friction at all. Only the entries that trip a threshold — unusual velocity, a duplicated image hash, a device already linked to dozens of claims — get routed to closer review. Done well, the vast majority of your real customers never notice a thing, and your review effort concentrates where the risk genuinely sits. This is also where predictive tools earn their place: Trudy, Trevor’s promotional intelligence platform, draws on patterns across thousands of past campaigns to help anticipate where a given mechanic is likely to attract abuse, so the controls can be set before launch rather than bolted on after the first bad week.
Why fraud belongs in the Promo P&L
There is a measurement reason to take this seriously that goes beyond the payouts themselves. Fraud does not just cost money — it distorts what you think happened. Inflated entry numbers make a campaign look more successful than it was. If those numbers feed your next budget, your next plan, or your case to the category manager for shelf space, you are building on figures that include claims that were never real. The integrity of the result is part of the result.
That is the honest case for getting fraud controls right: not fear, but accuracy. A promotion you can trust the numbers on is one you can actually learn from. Across the cashback, instant win and prize draw campaigns Trevor Services delivers, the brands that treat fraud defence as part of the setup — not a clean-up job — are the ones whose post-campaign reports hold up to scrutiny.
If you are planning a promotion and want to pressure-test where it might be exposed before it goes live, we are happy to talk it through.
