Click injection attacks the gap between an app install and the first open. A malicious app generates a fake click just before the user launches a legitimate app, then claims credit for an organic or paid install. Click spamming uses the same attribution loophole at scale by sending large volumes of clicks and hoping some users convert later.
Check these signals together:
— Click-to-install time is implausibly short or heavily concentrated.
— One source produces many clicks but weak post-install engagement.
— Click timestamps cluster around installs rather than normal browsing behavior.
— Conversion quality drops sharply after the attribution window is tightened.
Do not judge a source by installs alone. Compare retention, registration completion, purchase events, device patterns, and publisher-level distributions. Break results down by sub-publisher, placement, creative, and click-to-install interval. Keep raw click and postback logs so disputed conversions can be reconstructed instead of guessed.
For prevention, use a reasonable attribution window, reject duplicate or malformed signals, and delay payout until downstream quality is confirmed. Ask partners to disclose traffic sources and preserve IDs consistently. Never blacklist an entire channel from one anomaly; isolate the smallest common segment first.
Clean attribution is less about finding one suspicious metric than connecting timing, behavior, and source data. Investigate patterns, document the rule, and give legitimate partners a clear path to explain unusual traffic.
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Click injection can fake a winning campaign—here’s how to catch it before payout
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