Case Study: Leading Home Improvement Chain stops bad bots, saves 45% bandwidth and boosts site speed 30% with Imperva Bot Management

Leading home improvement chain moves beyond ineffective ‘whack-a-mole’ bot blocking solutions to automated protection from bad bots

A leading home improvement chain with a “customer service first” focus was facing persistent abuse from automated shopping bots that scraped prices, loaded thousands of items into carts and caused infrastructure slowdowns and skewed analytics. Their manual, script‑based “whack‑a‑mole” approach to blocking bots was labor intensive, slowed systems as carts grew, and couldn’t keep up with increasingly sophisticated attacks.

The company deployed Imperva Bot Management to replace manual controls with automated protection, enabling backend blocking and fine‑tuning of policies. The solution revealed about 30% of traffic was malicious, blocked roughly 250,000 bad bots per month, cut bandwidth use by 45%, boosted site speed by 30%, and saved two to three man‑days per month while stopping account takeovers, scraping, fraud, unauthorized scans and application denial‑of‑service attacks.