Click farm fraud poses a significant challenge for digital campaign fraud teams, as it involves organized schemes using low-paid workers or bots to artificially inflate online engagement metrics like clicks, likes, and views. This type of online fraud distorts analytics, drains advertising budgets, and complicates genuine performance measurement. Fraudsters often use sophisticated techniques such as device switching, IP rotation, mimicking human behavior, and credential rotation to evade detection, making it difficult for traditional fraud detection methods to catch them. Fingerprint offers an advanced solution by collecting over 100 signals from each device and browser session to identify suspicious patterns and behaviors associated with click fraud farms. By using a layered approach that combines device intelligence, click-to-conversion analysis, and engagement analysis, fraud teams can better differentiate between genuine users and coordinated fraudulent activities, ensuring that advertising spend is focused on real engagement.