Home / Use cases / Clean Analytics for E-Commerce

Clean Analytics for E-Commerce

When a third of your sessions are automated, every metric downstream, from conversion rate to retargeting audiences, points the wrong way.

What the attack looks like

Automation targeting e-commerce is rarely a single bot. It is an operation: rotating proxies, realistic browser fingerprints, and pacing tuned to stay under naive rate limits. By the time the damage shows up in your dashboards, the operator has already moved on.

Why generic defenses fall short

Simple rate limits and CAPTCHA walls catch careless scripts and punish real shoppers. Modern bot operations solve challenges in bulk through farms and spread requests across thousands of addresses.

How BotBulwark stops it

BotBulwark layers behavioral analysis, device fingerprinting, and network intelligence into a single risk score per session. Decisions happen before the request reaches your application, and scores adapt as operators change tactics. You keep inventory and ad spend; shoppers never notice.

Start with the audit

The free bot-traffic audit shows what share of your traffic is automated, where it concentrates, and what it costs you. It takes minutes to start and runs read-only against your logs or tags.