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Attribution & Measurement

Bot Traffic

Also known asBotsInvalid TrafficNon-Human Traffic

Automated, non-human activity — scripts, bots, and emulated devices — that generates fake clicks, installs, and in-app events to defraud advertisers or distort analytics.

Key takeaways

  1. 01Bot traffic is non-human activity engineered to look like real users — a core driver of mobile ad fraud and a polluter of analytics.
  2. 02Common forms: data-center bots, [[emulated-devices]] / device farms, and scripted automation that fakes the full install-to-event funnel.
  3. 03It steals ad budget (fraudulent installs billed as real) and corrupts decisions (inflated DAU, fake funnels) if it leaks into analytics.
  4. 04Detection relies on data-center IP lists, device-fingerprint anomalies, and behavioral signatures (no human-like timing or touch entropy).

Bot traffic is automated, non-human activity disguised as real user behavior. In mobile growth it shows up two ways: as [[ad-fraud]] (bots faking clicks and installs to bill advertisers) and as analytics pollution (bot sessions inflating DAU, funnels, and engagement metrics so teams optimize against noise).

Where bot traffic comes from

  • Data-center bots — scripts running in cloud servers that generate clicks and requests from non-residential IP ranges.
  • Device farms / [[emulated-devices]] — fleets of real or emulated phones, resettable to look like new users, manufacturing fake installs at scale.
  • Scripted automation — tools that replay the install-to-event funnel to mimic an engaged user and trigger payout events.

Detection combines network signals (traffic from known data-center IP ranges rather than residential/carrier networks), device-fingerprint anomalies (impossible hardware/OS combinations, missing sensors), and behavioral signatures (no human touch entropy, impossibly fast or perfectly uniform funnels). MMPs bundle this into their fraud layers; the practical defense is routing UA through an MMP with active invalid-traffic filtering and excluding suspicious sources.

Quick answers

What is bot traffic?

Bot traffic is automated, non-human activity — scripts, bots, device farms, and emulators — engineered to look like real users. In mobile it powers ad fraud (faking clicks and installs to bill advertisers) and pollutes analytics (inflating active users and funnels). It's also called invalid traffic (IVT) or non-human traffic.

How do you detect bot traffic?

Through three signal classes: network (traffic from data-center IPs instead of residential/carrier networks), device fingerprint (impossible hardware/OS combinations, missing sensors typical of emulators), and behavior (no human-like touch entropy, impossibly fast or uniform funnels). MMP fraud layers automate this and reject flagged installs before they're attributed.

What is the difference between bot traffic and click spam?

**Bot traffic** is the broad category of non-human activity. **Click spam** (click flooding) is a specific fraud tactic — sending huge volumes of fake clicks hoping to "win" attribution for organic installs that would have happened anyway. Click spam is often executed using bots, so they overlap, but bot traffic also covers fake installs, fake engagement, and analytics pollution beyond click fraud.

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