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Brief

Adjust Fraud Prevention Suite

Mobile Ad Fraud Prevention

Adjust detects and blocks mobile ad fraud in real time within the attribution pipeline, ensuring advertisers only pay for genuine installs and user actions. Its ML-powered behavioral analysis, rooted in Unbotify technology, provides a more sophisticated defense than traditional blocklist approaches.

Last updated May 11, 2026 by the ATDb Editorial Team · Connections updated May 13, 2026

Founded
2012
HQ
Berlin, Berlin, Germany
Parent
Connections
12

At a glance

Employees
501-1000
Funding
~$227M (as Adjust, prior to AppLovin acquisition)
Revenue
$100M-$300M (estimated, as part of Adjust overall)
10integrations1competitors1corporate family

About

A leading integrated mobile measurement and fraud prevention platform, bundling anti-fraud capabilities directly into its attribution stack to serve performance marketers globally.

Adjust Fraud Prevention Suite is the anti-fraud product family offered by Adjust, one of the world's leading mobile measurement and analytics platforms. The suite is designed to protect mobile advertisers from a wide range of ad fraud types including click injection, SDK spoofing, click spam, and fake installs. By integrating fraud detection directly into the attribution pipeline, Adjust allows marketers to automatically filter out fraudulent traffic before it impacts campaign budgets or reporting accuracy. A key component of the suite is technology derived from Unbotify, an Israeli startup that Adjust acqui-hired around 2019. Unbotify brought sophisticated behavioral biometrics and machine learning capabilities to distinguish real human users from bots and automated scripts — a significant technical differentiator in the fraud prevention space. This acquisition allowed Adjust to move beyond simple blocklist-based detection toward dynamic, pattern-based fraud identification. Within the AdTech ecosystem, Adjust's fraud prevention capabilities are tightly bundled with its broader mobile measurement platform, making it particularly attractive to performance marketers and app developers who already rely on Adjust for attribution. This integrated approach positions Adjust competitively against standalone fraud vendors, as clients benefit from a unified data layer spanning attribution, analytics, and fraud protection. Adjust itself was acquired by AppLovin in 2021 and later sold to digital marketing firm Applovin before being acquired by Rovio's parent — ultimately, as of 2023, Adjust operates as a subsidiary under its own brand within the broader mobile marketing ecosystem.

Business model

SaaS

Target market

Enterprise

What they offer

  • Fraud Prevention Suite

    Core anti-fraud product family that filters invalid traffic, fake installs, and bot-driven clicks from mobile ad campaigns in real time.

  • Unbotify-Powered Bot Detection

    Machine learning and behavioral biometrics engine (from the Unbotify acqui-hire) that distinguishes human users from automated bots and scripts.

  • Click Injection Filter

    Detects and blocks click injection attacks where fraudulent actors fire clicks just before an organic install to steal attribution credit.

  • SDK Spoofing Protection

    Identifies and rejects fraudulent installs generated by replaying legitimate SDK traffic without real device activity.

  • Click Spam Detection

    Filters high-volume, low-quality click floods designed to capture attribution credit through probability rather than genuine engagement.

  • Fraud Reporting Dashboard

    Real-time reporting interface showing rejected installs, fraud rates by network, and financial impact of blocked fraud.

Key features

Real-time fraud filtering integrated into the attribution pipelineBehavioral biometrics and ML-based bot detection (Unbotify technology)Click injection and SDK spoofing protectionClick spam and invalid traffic filteringAutomatic rejection of fraudulent installs before billingFraud analytics and reporting dashboardNetwork-level fraud rate benchmarkingZero-latency impact on legitimate attribution

Use cases

Protecting mobile app install campaigns from fake installs and bot trafficFiltering click injection fraud from affiliate and programmatic networksDetecting SDK spoofing in performance marketing campaignsAuditing ad network quality and identifying fraudulent partnersEnsuring accurate attribution data by removing invalid trafficReducing wasted ad spend on non-human traffic

Customer segments

Mobile app developers and publishersPerformance marketers and user acquisition teamsMobile gaming companiesE-commerce and retail appsFintech and banking appsSubscription app businessesAd networks and DSPs seeking traffic quality assurance

Tech & specs

Technology stack

Machine learning and behavioral biometrics (Unbotify)Real-time data processing pipelinesMobile SDK (iOS and Android)REST APICloud infrastructureBig data analytics

Security & compliance

GDPRCCPASOC 2Privacy-by-design architecture

Deployment

Cloud

API

Yes

Explore further

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