Case Study: Large Italian Shoe Retailer Company reduces web requests by 73% and detects 11x more bots with Netacea

Netacea Detects 11x More Bots Than Previous Bot Solution for Luxury Shoe Retailer

Large Italian Shoe Retailer Company is a €250M+ luxury footwear retailer serving customers in 10 languages with over 50 million annual visitors and a catalog of 600+ brands. During high‑profile sneaker drops the site was flooded by sophisticated scraping and scalper bots that bypassed the incumbent protection, causing slow pages, infrastructure strain and lost availability; the retailer engaged Netacea (using Netacea Bot Management and its Intent Analytics® engine) to address the threat.

Netacea analyzed 608 million requests and identified 457 million (75.2%) as bad bots, detecting 11× more malicious traffic than the previous solution. By integrating Netacea Bot Management via a CDN plugin and applying behavioral, ML‑driven detection, the retailer cut bad‑bot requests by 73%, reduced CPU utilization by 10%, stopped major sneaker bot operators from targeting the site, and regained stability during hype drops — all while eliminating manual rule maintenance, per Netacea.