Every bonus an operator issues is a bet on future play. In 2026, a growing share of those bets are being placed against organised groups who never intended to play at all. Wynta‘s Bonus Engine exists to give operators a clear, categorised view of exactly where bonus spend goes, and that visibility has become one of the more useful weapons in a fight that has changed shape considerably over the past two years.
The scale of the problem is no longer a rounding error. Fraud in online gaming rose 64% year over year between 2022 and 2024, according to identity verification firm Sumsub, and bonus abuse now accounts for nearly two thirds of all fraud in the sector. More strikingly, suspicious transactions in online gaming jumped 350% between Q1 2025 and Q1 2026, with the average value of a suspicious transaction nearly doubling to over €6,000. Operators are noticing: 78% now say bonus abuse is their most prevalent fraud threat, and 57% cite direct fraud losses as the biggest business impact it causes. Industry estimates put promotional leakage, bonus spend that never converts into genuine play, at somewhere between 10% and 15% of total bonus budget.
What has changed is not just volume. It is sophistication. The bonus hunters running welcome offers and reload promotions in 2025 were largely working a spreadsheet: open accounts, claim, cash out, repeat. The methods showing up in 2026 look more like organised fraud operations than opportunistic players. Multi-account rings, synthetic identities, AI-generated identities paired with VPNs and device spoofing, and coordinated groups working promotional calendars across dozens of operators at once are now standard tactics rather than edge cases. A single flat set of bonus terms and conditions was never built to withstand that kind of pressure.
Operators are responding in kind. Fraud teams across the sector are shifting toward behavioural detection systems that examine hundreds of signals simultaneously, including gameplay behaviour, deposit patterns, wagering progression, bonus redemption, session activity and withdrawal behaviour, rather than relying on a handful of static rules. The response has to be proportionate too: monitoring first, then restricting eligibility, then tightening wagering requirements, then a withdrawal hold, escalating only as the evidence does. Flag a genuine player as a fraud risk too aggressively and an operator loses a customer it never needed to lose. The arms race, in other words, is not just operators against bonus hunters. It is precision against blunt instruments on both sides.
The customer-experience cost of getting this wrong deserves more attention than it usually gets. Every fraud team under pressure to bring the headline numbers down faces the same temptation: tighten the rules until the abuse rate drops, and worry about who else got caught in the net later. That instinct is understandable and it is also how operators end up quietly restricting or investigating genuine high-value players who happen to look, on paper, like the fraud pattern being screened for. A player who deposits repeatedly, claims most available bonuses and wagers close to the requirement is indistinguishable from an abuser on volume alone. The only way to tell them apart is context most flat rule sets do not carry: account history, identity signals and whether the pattern generalises across many accounts or is just one loyal player behaving consistently. Fraud prevention that cannot make that distinction is not precision. It is a blunter instrument wearing a more sophisticated label.
Increasingly, the fix for that is starting earlier than the fraud team’s dashboard. Instead of designing a promotion and handing it to risk and compliance afterward to patch the exploits, more operators are building marketing and fraud functions into the same conversation at the design stage, so a bonus mechanic is stress-tested for how it could be gamed before it ever reaches a player rather than after the abuse pattern has already run for a month. A code-claim promotion designed with an eye on how it clusters is harder to exploit at scale than one bolted together purely for conversion and patched for abuse afterward. This is not a technology fix so much as a sequencing one: the earlier fraud thinking enters the process, the less categorisation has to do the work of catching what design should have prevented.
This is where categorisation earns its keep, and where Wynta’s Bonus Engine naturally fits into the fight. Most operators still see one number on a report: Bonus. Wynta breaks that single line into every category that made it, including deposit match, code-claim, wagering, etc, so nothing ever lands as uncategorised. That matters directly for abuse detection, because bonus hunting rarely shows up evenly. It clusters: a spike in code-claim redemptions from a narrow IP range, free bet activity disproportionate to genuine deposit volume, wagering completion patterns that look identical across dozens of accounts. A ledger that shows only “Bonus” hides exactly the clustering a fraud team needs to see. A ledger broken into every category that built it is where that pattern becomes visible in the first place. And because Bonus Engine powers CRM and Gamification, every reward issued flows straight into those campaigns and mechanics in real time, so a promotion built with abuse in mind at the design stage stays consistent everywhere it triggers, rather than drifting out of sync across separate tools.
Bonus abuse is not going to be solved by any single feature, on any platform. It is a genuine arms race, and the side with better visibility into where its own spend is going gets to fight it on better terms. Operators who are still reading one flat “Bonus” figure on their reports are working with less information than the fraud they are trying to stop. If your promotional spend needs a clearer, line-by-line view before you can even see where the leakage is, book a demo of Wynta’s Bonus Engine or talk to Wynta’s sales team at wynta.com.
