Research lab
Detect, investigate and prevent fraudulent traffic.
Traffic Fraud Lab publishes practical guides on click fraud, invalid traffic, affiliate abuse, lead fraud and the evidence that separates suspicion from a decision.
Latest research
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Click Fraud Detection: How to Identify Fraudulent Clicks
Click fraud detection is not a single report or threshold. It is an evidence-based investigation that combines click data, technical fingerprints, behavior, conversion quality and campaign-level patterns.
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Click Fraud: What It Is, Who Benefits and How It Damages Paid Media
Click fraud is more than a high click count. It is the deliberate generation, manipulation or misrepresentation of ad clicks to create financial or reporting value. This guide…
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Affiliate Fraud Reporting Template: Document Suspicious Activity Clearly
A practical affiliate fraud reporting template for affiliate managers, advertisers and analysts who need to document suspicious activity consistently without overstating what the evidence proves.
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Affiliate Fraud in CPA Campaigns: How to Validate Conversions and Prevent Fake Actions
Affiliate fraud in CPA campaigns is not limited to fake clicks. Affiliates may generate duplicate leads, manipulate attribution, incentivize restricted actions or send automated traffic that appears to…
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Affiliate Fraud Investigation: A Practical Guide to Evidence, Partner Isolation and Payout Decisions
A practical affiliate fraud investigation workflow for preserving evidence, validating suspicious traffic, isolating affected partners and deciding whether to hold, adjust or release payouts.
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Affiliate Fraud Detection Rules: A Practical Guide for Clicks, Leads and Conversions
A practical guide to designing affiliate fraud detection rules for clicks, leads and conversions, with investigation steps, evidence standards, examples and guidance for building an auditable rule engine.