Attribution & Measurement

Ad Fraud

Also known asMobile Ad FraudClick FraudInstall Fraud

Fraudulent practices that fake clicks, impressions, or installs to extract ad revenue from advertisers — a persistent industry problem that MMPs and ad networks fight continuously.

Key takeaways

  1. 01Mobile ad fraud costs advertisers an estimated 5-15% of paid UA spend across the industry, varying widely by traffic source.
  2. 02Main fraud types: click flooding, install hijacking, SDK spoofing, device farms, click-injection.
  3. 03MMPs (AppsFlyer Protect360, Adjust Fraud Prevention, Singular Anti-Fraud) provide built-in detection; major SANs have internal fraud protection.

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

Fraud rates by traffic source (rough 2026 anchors):

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).

Quick answers

How much mobile ad spend is lost to fraud?

Industry estimates suggest 5-15% of total mobile ad spend is lost to fraud, varying widely by traffic source. Major SANs (Meta, TikTok, Google) typically under 3% fraud rates due to heavy internal investment. Established in-app networks (AppLovin, ironSource) 3-8%. Open programmatic exchanges 10-25%. Apple Search Ads under 1% (first-party attribution is essentially fraud-resistant).

What are the main types of mobile ad fraud?

Five main types. (1) **Click flooding** — bots fire massive fake clicks hoping to claim organic attribution. (2) **Install hijacking** — fraudulent networks intercept legitimate ads. (3) **SDK spoofing** — fake server-generated "installs" without real devices. (4) **Device / click farms** — physical devices in offshore operations clicking and installing. (5) **Click injection** — Android-specific, fraud apps inject attribution claims when others install.

How do MMPs detect ad fraud?

Modern MMPs (AppsFlyer Protect360, Adjust Fraud Prevention, Singular Anti-Fraud) layer multiple detection methods: device anomaly detection (impossible device characteristics), click-flood pattern detection (impossibly high click volumes per IP / device), install velocity checks, behavioral pattern analysis, cryptographic signature validation. Filtered installs are flagged in reports — depending on your network contract, you may pay only for clean installs.

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