Activity-based filtration
A legitimate user displays certain behaviour different from an illegitimate user, for example, a legitimate user will not do the same, monotonous routine over and over again. They will not click abnormally fast, or make a click at exact 5-second intervals.
Activity-based filtration is the measurement of user activity to flag transactions that are too fast, too repetitive, at precise intervals or are missing key pieces of data standards to valid traffic.
Classification
General Invalid Traffic (GIVT)
Tapper Indicator
Mismatch of click characteristics with install characteristics
Anomalous variations of user-agent (browser, os version, model, etc) in a short period of time from a single IP
Blacklist server traffic and known sources of this traffic.
Rejection Codes |
---|
score_domain_global |
score_siteid_subpartner |
anomaly_clicktoinstall_time |
lowratio_clicktoinstall_siteid |
lowratio_clicktoinstall_subpartner |
lowratio_clicktoinstall_browser_subpartner |
pattern_referrerdomain_siteid |
pattern_siteid_subpartner |
pattern_fingerprint_global |
pattern_ip_global |
pattern_associationrule_partner_ip |
anomaly_overnight_localtime_ip |
anomaly_fingerprint_ip |
Fraud Tactics
[Click Spam
](https://help.tapper.ai/en/article/click-spam-5o2tdt/)
Updated on: 08/08/2024
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