In iGaming, fraud is no longer a temporary phenomenon, but a permanent one that directly affects ROI, LTV, and relationships with advertisers. In 2026, the problem will only become more acute: traffic is becoming more expensive, player quality requirements are growing, and anti-fraud systems are becoming stricter.
Whereas before it was possible to transfer volume and somehow compensate for losses, now every weak area and every fake FTD literally cuts into margins. Let’s take a look at the types of fraud most commonly encountered in gambling in 2026 and how to combat them.
Why fraud in gambling is on the rise
There are several reasons:
— increased competition in Tier 1
— active flooding in Tier 2 and Tier 3 GEOs
— automation of bots and scripts
— aggressive competition among advertisers for quality
Gambling is one of the most expensive verticals. That is why it is actively attacked by bots, motivated traffic, multi-accounts, fake registrations, and even fake deposits.
When advertisers cut payments, arbitrageurs suffer.
The main types of fraud in iGaming
1. Bot traffic
The simplest scenario is clicks, registrations, and sometimes imitation of activity.
How to identify it:
— abnormally high CTR
— registrations without deposits
— identical user agents
— traffic spikes at odd times
2. Motivated traffic
Players register for the bonus but do not play.
Signs:
— quick FTD and instant withdrawal
— no repeat deposits
— minimal time on the site
For CPA, this may seem like a plus. For revshars, it’s a complete minus.
3. Multi-accounts
The name says it all — one user creates multiple accounts. This is especially relevant in Tier 2 and Tier 3 GEOs with weak verification.
4. Incentives and source substitution
When traffic is declared as one format, but actually comes from another source — either prohibited incentives are used.
Signs:
— behavior does not match the format (abnormally high CTR, low depth, batch clicks)
— sharp spikes in traffic at the same time
— registrations and FTDs without subsequent activity
— identical deposits and similar behavior patterns
If there are FTDs, but LTV and retention are almost zero, this is already an alarm signal.
Why fraud is dangerous for arbitrageurs
— reduction in CPA rates
— cuts in payments
— account freezing
— refusal of revenue share
— blacklisting
In 2026, advertisers almost always want and know what transparent analytics by source looks like. If anti-fraud is not configured, problems will start quickly.
How to protect your budget from drain
1. Analytics by zone
Track:
— deposit/registration
— LTV by source
— time to deposit
— repeat deposits
A zone with high CTR and zero LTV is your first candidate for disabling.
2. Microbidding
Divide bids:
— by device
— by time of day
— by GEO
— by OS
Junk Android traffic at night in tier 3 is a classic source of fraud.
3. Auto rules
Automatic disabling:
— for low CR
— when there are no deposits
— when the acceptable CPC is exceeded
Without automation, you simply won’t have time to react.
4. Retargeting and retention
Fraudulent traffic does not return. A high-quality real player returns. If retargeting works and players make repeat deposits, this is an indirect marker of quality.
CPA and RevShare from a fraud perspective
CPA suffers faster here. Fraud immediately affects payments and can lead to a stop.
RevShare is slower but more painful — if players are of poor quality, LTV simply does not grow.
Therefore, in 2026, the key metric will not be FTD, but real revenue per player.
What else will change in 2026?
— Advertisers will strengthen anti-fraud measures.
— More attention will be paid to sources.
— There will be more requests for reports.
— AI filters will be actively used.
Working for volume without controlling zones will become less and less possible.
What to do?
In short:
— Cut weak zones
— Calculate LTV
— Track player behavior
— Automate the removal of junk
Fraud is not going away. But with the right analytics and systematic work, it ceases to be a threat to the budget.
👉 Youtarget offers tools for traffic quality control: zone analytics, microbidding, auto-rules, and its own built-in anti-fraud system (!) — all of which help protect your budget and stabilize results.
