You're Being Told to Trust the Algorithm — Here's How to Actually Evaluate It
As AI‑driven automation accelerates across major ad platforms, marketers face growing performance gains paired with shrinking transparency. Measurement tools have not fully kept pace with automated campaign formats, creating risk when teams can’t verify what algorithmic decisions actually drive results. A practical framework—holdout testing, clearer evaluation questions, signal diagnostics, and selective use of automation—helps advertisers maintain control, ensure accountability, and confirm whether AI truly improves outcomes.
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