Case Study: Automotive Retailer Stops Bad Bots and Boosts Site Performance 25% with Imperva Bot Management

A Imperva Case Study

Preview of the Automotive Retailer Case Study

Automotive Retailer - Customer Case Study

This automotive retailer operates hundreds of stores and nearly 100 web properties where customers research and order parts and make service appointments. Persistent bad bots and scrapers were crashing sites—pulling roughly 8,000 pages per second—and legacy firewalls and manual blacklisting proved ineffective and time-consuming, consuming the equivalent of one full-time employee to manage.

The company deployed Imperva Bot Management as a cloud service, quickly testing via simple DNS changes and rolling it out across ~100 sites. The service filtered malicious bot traffic while passing legitimate users, integrated with existing monitoring and infrastructure, and cached content—resulting in a 25% improvement in site performance and returning about 95% of the previously devoted FTE to development work.


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