Case Study
Samsonite Eliminates Bot Attacks for Better Analytics
Samsonite, a global leader in travel luggage, discovered that its website metrics were distorted by bot traffic, inflating web visits and lowering conversion accuracy. This made KPI data unreliable and manual cleanup ineffective. The company adopted HUMAN Data Contamination Defense, which uses behavioral fingerprinting and machine learning to distinguish real users from bots in real time. Seamlessly integrated with YOTTAA, the solution automated detection and mitigation, eliminating manual response efforts. With accurate analytics restored, Samsonite gained confidence in its data, improved conversion rates, reduced operational strain, and protected against attacks like carding and account takeovers.