Everflow
21 Case Studies
A Everflow Case Study
Adjust, the mobile attribution provider, was confronting rampant user‑acquisition fraud that hid real performance and forced marketers into costly, limited channels (industry estimates showed ~23% of non‑organic installs were fraudulent in H1 2019). Adjust’s Fraud Prevention Suite gives attribution‑level fraud signals, but clients needed a way to act on that data automatically to move from reactive scrubbing to proactive scaling. Everflow was the partner platform used by publishers and networks (notably OPN Media) to take those Adjust signals and enforce real‑time protections.
Everflow ingests Adjust’s fraud flags and applies its SmartSwitch automation to block offending placements (including CTIT rules like <15s or >24h patterns), proxy detections, and minimum install‑to‑event rate thresholds, while notifying publishers to remediate issues. The Adjust + Everflow integration removed manual scrubbing, enabled deterministic placement‑level blocking, protected publisher relationships, and let marketers safely expand into lower‑cost inventory by turning fraud signals into immediate, measurable actions.