What is algorithmic misalignment in A/B testing and how does it waste ad budget?

Algorithmic misalignment happens when ad networks receive incomplete or low-quality traffic signals, causing their automated bidding models to target non-converting cohorts. This burns budget on clicks that never generate pipeline, and it also skews your A/B test results because the traffic quality is inconsistent. Seatext AI's autonomous optimization feeds real-time machine learning signals to ad algorithms, helping them target high-intent buyers and improving the reliability of your tests.