Best Click Fraud Software for Singular

With TrafficGuard, you can put an end to the worry of polluted traffic disrupting your campaign success. Our advanced ML/AI-powered technology identifies and blocks both simple and complex fraudulent traffic in real time, ensuring your ad spend targets genuine, high-quality clicks and conversions. This leads to better campaign outcomes and an enhanced return on ad spend (ROAS). This robust solution safeguards every dollar of your advertising budget, allowing you to concentrate on reaching your marketing objectives without stress. Let TrafficGuard handle ad fraud protection, so you can confidently manage your: Google Search (PPC) campaigns Mobile user acquisition campaigns Affiliate spending Social media advertising In addition to our technology, we provide expert campaign management and exceptional customer support, making us a reliable partner for all your ad fraud protection needs.

Founded in 2011 as one of the first mobile measurement partners, Kochava now supports campaign measurement across any device, any channel, and any audience. Tap into multi-touch attribution, next-generation MMM, and always-on incremental measurement disciplines to achieve data-driven, privacy-durable growth strategies. Understand which omnichannel tactics boost customer acquisition and retention. Key features include: omnichannel app attribution and analytics, cost and ROI measurement, deep linking, marketing data management and ETL support, ad fraud detection and prevention, and strategic services. The Kochava library of software development kits (SDKs) provide out-of-the-box measurement support across mobile, connected TV, web, and other connected devices. Built-in integrations enable clients to activate and measure campaigns with Google Ads, Meta, Apple Search Ads, X, Snap, Roku, LG Ads, Amazon Ads, NBCUniversal, TikTok for Business, Yahoo, and thousands of other ad networks, CTV platforms, and super publishers. Embrace privacy-first measurement with support for Apple’s SKAdNetwork on iOS, Google’s Privacy Sandbox on Android, and a modern marketing mix modeling (MMM) platform that future-proofs your measurement.

Scalarr offers a cutting-edge solution for mobile ad fraud detection through advanced Machine Learning technology. To combat the most significant threats in mobile advertising, Scalarr employs a dual-layered approach with next-generation algorithms that achieve an impressive accuracy rate of up to 97% in identifying various forms of in-app fraud. Users can experience the benefits of Scalarr by exploring its capabilities to overview, analyze, and thwart mobile app install ad fraud using its unsupervised machine learning features before any harm occurs. The platform utilizes both unsupervised and semi-supervised machine learning techniques to automatically spot and understand fraud patterns across vast datasets. By examining countless clicks, installs, and post-install event variables, Scalarr significantly minimizes both false positives and false negatives in its detection process. With a sophisticated model design prioritizing result accuracy and thoroughness, Scalarr stands out as a robust tool that provides actionable insights at the individual conversion level, ensuring advertisers can make informed decisions regarding their ad campaigns. This comprehensive approach ultimately enhances the overall integrity of mobile advertising strategies.