Click fraud protection software detects fraudulent digital ad clicks generated by bad bots or malicious users. It uses real-time behavioral analysis, machine learning algorithms, and traffic monitoring to identify non-human activity and protect businesses from wasted ad spend and distorted metrics.
Click fraud protection detects patterns that would otherwise seem legitimate, such as distributing clicks across multiple devices. In a typical click fraud campaign, bad bots deploy across various devices, each with a unique IP address, making it appear that the clicks are coming from different users rather than a single source.
Essential features should include the following:
Fraudsters use sophisticated bots to interject themselves into the programmatic ad ecosystem (in which various players work together to buy and sell ads). Click fraud leads to significant financial losses, disrupts marketing performance, and damages data accuracy.
Without proper protection, brands can waste their advertising budget on fraudulent clicks, inflate their marketing costs, and lose trust in their digital ad campaigns, preventing effective optimization and decision making. Demand-side platforms with access to the clicks also face these same risks when they deliver fake click activity to their brand clients.
Click fraud protection software uses advanced machine learning and real-time monitoring to detect and block fraudulent clicks.
Benefits include preserving ad budget, improving the accuracy of performance data, and enhancing ROI. But not every click fraud technology has the advanced capabilities to keep up with click fraud tactics.
The Human Defense Platform combines real-time behavioral analysis and threat intelligence to protect digital interactions across applications, ads, and websites. Built to adapt and scale, it distinguishes real users from malicious actors with precision, defending against fraud and automated attacks. Transform your security approach by harnessing HUMAN’s advanced bot mitigation and fraud prevention technologies.