Stop mobile ad fraud on gaming app campaigns

Most gaming UA campaigns on major networks use event-based bidding, optimising toward tutorial completions, level clears, or first purchase events. When click farms or SDK spoofing operations simulate these events, the ad network algorithm treats the fraud sources as high performers and allocates more budget toward them. UA teams see install volumes and early event rates that look strong but discover that downstream retention and payer conversion are consistently below projection, because the optimisation signal was driven by fraudulent activity.

Mobile gaming represents the largest share of app store UA spend globally. Fraud networks follow budget concentration, and gaming advertisers spend at volumes that are attractive targets. The complexity of gaming attribution, with post-install events, retargeting, and multiple network integrations, also creates more entry points for fraud that are harder to monitor without dedicated detection tools.

Yes. Sophisticated click farm operations script early in-app interactions on real devices. They complete tutorial flows, trigger first-level events, and in some cases simulate shallow purchase interactions, all within the time windows gaming UA managers use to assess install quality. These scripted sessions look genuine for the first one to two days but show abnormal patterns when examined across the full lifecycle. Tapper detects these patterns through session behaviour analysis that goes beyond the first-day signals.

Gaming LTV models are trained on the relationship between early engagement signals and long-term payer behaviour. When fake installs that simulate early engagement are included in training data, the model learns that certain engagement patterns predict payer conversion when they actually predict fraud. Predictions made on this model will consistently overestimate expected revenue, leading to overbidding and budget allocation toward sources that cannot deliver the payer LTV being projected.

Yes. Tapper integrates with all major gaming ad networks including Meta, Google UAC, Apple Search Ads, ironSource, Unity Ads, Digital Turbine, Vungle, and others. All networks are monitored within a single integration, and fraud rates are reported at the network, campaign, and creative level across the full portfolio.