This lesson establishes why attribution models undercredit certain channels and how incrementality experiments can correct these inaccuracies. You'll explore how attribution models assign credit, why view-based ad exposure is invisible to those models and which channels absorb the misattributed credit. Then you'll practice spotting miscalibration in example accounts.
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