Bot traffic

Bot traffic is website activity generated by automated programs rather than human visitors. It spans a wide range, from "good" bots that sites want, such as search engine crawlers and uptime monitors, to "bad" bots, including content scrapers, credential-stuffing scripts, and bots that click ads or fake engagement for financial gain, an activity closely related to fraud detection work in ad platforms.

In advertising and analytics measurement, bad-bot activity is often discussed as part of a broader category called invalid traffic, which also includes duplicate or misattributed human clicks, not only automated ones. Analytics platforms filter known bots by matching request signatures against published lists, such as the IAB/ABC spiders-and-bots list, and by excluding recognized crawler user agents, but this filtering only catches bots that identify themselves or match known patterns.

Unfiltered bot traffic inflates pageviews, session counts, and engagement metrics, and can distort a conversion rate by expanding its denominator without adding real prospects. The main pitfall is assuming built-in bot filters catch everything: sophisticated bots increasingly mimic human browsing patterns, rotate IP addresses, and pass basic behavioral checks, so unusual traffic spikes, implausible engagement patterns, or geographic anomalies still warrant manual data quality review rather than trusting a platform's default filtering alone.