Case Study: Markt.de achieves scalable fraud prevention and 760% more automated decisions with Sift Content Integrity

How markt.de keeps its marketplace safe and growing

markt.de is a leading German online marketplace with over 2 million active classified ads daily and 25 million visits per month. As the site grew, it faced rising false and fraudulent classifieds, phishing and fake accounts, and needed a scalable solution to filter scams without increasing manual review headcount.

markt.de implemented Sift Content Integrity—leveraging machine learning, a Network view to spot linked accounts, and automated Workflows to block spam and flag risky users. The result: a 760% increase in automated decisions, a 20% rise in classifieds within a year, and no added manual-review staffing, enabling safer, sustainable growth.

Markt.de

Yin Stender

Head of Fraud Prevention