How IronClick transformed manual AdOps into a self-optimizing system?
IronClick operates a high-volume Attekmi-based Ad Exchange, where performance depended heavily on manual AdOps work — QPS adjustments, traffic redistribution, drop-request monitoring, and constant spreadsheet analysis
Despite having an experienced team, optimization decisions were often reactive. Performance drops were detected too late, strong DSP endpoints were underutilized, and valuable traffic was lost due to conservative or delayed actions.
After integrating AdOpsControl as an automation layer on top of Attekmi, IronClick transitioned from manual operations to algorithm-driven optimization.
What Changed
Automation of QPS and Traffic Routing
Manual QPS and routing decisions were translated into automated logic
Always-On Drop Request Mitigation
Drop-request mitigation started running continuously instead of periodically