Case Study: ZiMAD boosts performance and saves marketing budget with Scalarr anti-fraud

How ZiMAD boosts performance and saves marketing budget with Scalarr anti-fraud

ZiMAD, the mobile games publisher behind Magic Jigsaw Puzzles, faced a growing mobile ad fraud problem while running more than 1M paid installs per month. After using a traditional rules-based anti-fraud approach until 2019, the company turned to Scalarr’s machine learning-based anti-fraud solution to better protect marketing spend and identify fraudulent traffic.

With Scalarr, ZiMAD implemented a personalized machine learning model to analyze click, install, and post-install data and detect fraud more accurately. The result was 3x more fraud prevented than with the previous solution, over 151K fraudulent installs detected and rejected in 3 months, and a major reduction in wasted marketing budget, with click injection identified as the dominant fraud type.

Zimad

Aleksey Tishakov

Head of User Acquisition