Case Study: Zucks achieves stronger ad-fraud detection and data visualization with Spider AF

Using SpiderAF as a Third-Party Tool to Strengthen Against Ad Fraud

Zucks, one of Japan’s largest smartphone-focused CPI and CPA ad networks, had been running its own in-house fraud detection but needed a third-party perspective to reduce internal development man‑hours and to visualize large volumes of measurement data (notably CTIT — click-to-install time). To address those gaps they adopted Spider AF as a third‑party fraud measurement tool.

Spider AF was integrated with Zucks’ admin screen to provide publisher-level fraud scores and clear visualizations (CTIT distributions, clicks-per-second, device batches), exposing bot cycles and unauthorized carriers that Zucks couldn’t easily see before. Using Spider AF allowed Zucks to visualize previously opaque data, share personalized fraud findings within the team, reduce manual work, and strengthen fraud detection and decision-making with unbiased third‑party evidence.

Zucks

Misawa

Zucks