Ad fraud refers to fraudulent practices designed to extract ad revenue from advertisers — faking clicks, impressions, installs, or post-install events that didn't actually happen. Mobile ad fraud is a persistent industry-wide problem; estimates suggest 5-15% of total mobile ad spend is lost to fraud, with higher rates on lower-quality traffic sources (open programmatic exchanges, unverified ad networks) and lower rates on major SANs (Meta, TikTok, Google) that invest heavily in fraud prevention.
Main fraud types
- Click flooding: bots fire massive volumes of fake ad clicks targeting your campaigns, hoping to claim attribution credit when users install organically from another source. Fix: short click-to-install attribution windows (1-7 days), MMP anti-flooding filters.
- Install hijacking: legitimate ads are intercepted and credit redirected to fraudulent networks. Common on Android via malware-style apps. Fix: MMP install-time signal validation, postback integrity checks.
- SDK spoofing: fake "installs" generated server-side without any real device. Fraud network spoofs the MMP SDK postback. Fix: cryptographic signature validation in modern MMP SDKs.
- Device farms / click farms: physical devices in offshore farms repeatedly clicking ads and installing apps. Real installs but no real users. Fix: behavioral pattern detection (device IDs, sessions, install velocity).
- Click injection: fraud apps installed on a device "inject" attribution claims when other apps are installed. Android-specific. Fix: Google Play Install Referrer API.
Fraud rates by traffic source (rough 2026 anchors):
- Major SANs (Meta, TikTok, Google): under 3%. Heavy investment in fraud prevention.
- Established in-app networks (AppLovin, ironSource): 3-8%. Variable by demand source.
- Open programmatic exchanges: 10-25%. Highest fraud rates.
- Apple Search Ads: under 1%. Apple's first-party attribution is essentially fraud-resistant.
Always evaluate networks by *post-fraud-filter* install volume, not raw claimed installs.
Detection — what MMPs do
- AppsFlyer Protect360, Adjust Fraud Prevention, Singular Anti-Fraud are the major dedicated tools — each MMP integrates fraud detection natively.
- Detection methods: device anomaly detection (impossible device characteristics), click-flood detection (impossibly high click volumes per IP/device), install velocity checks, behavioral pattern analysis.
- Filtered installs are flagged in MMP reports — you typically pay only for clean installs (depending on network contract).