Case Study: Joom reduces app install fraud with Scalarr

Joom - Customer Case Study

The e-commerce platform Joom faced significant challenges with sophisticated mobile app install fraud, including click spam and smart bots, which threatened their user acquisition efforts and ROI. To combat this, Joom partnered with the vendor Scalarr to implement its machine learning-based anti-fraud solution.

Scalarr's solution utilized unsupervised and semi-supervised machine learning algorithms to detect complex fraud patterns. This implementation identified over 947,000 fraudulent installs, allowing Joom to protect its marketing budget. The results enabled Joom's team to make more informed decisions, ultimately driving a higher return on investment and providing crucial protection as the company expanded into new markets.

Joom

Yuri Ivanov

Chief Marketing Officer