The rise of machine learning in buying algorithms is helping to debunk some of advertising’s commonly held truths. The assumption that high viewability equates to high quality is often misleading. When campaign goals are lower funnel and there is no constraint to purchasing only highly viewable placements, AI frequently reveals that lower-viewability placements – as […]
The post Why Standardization Is Wrong For Attention Metrics appeared first on AdExchanger.
More Stories
Is Netflix In a Slump? Here’s What Its Q2 Earnings Suggest
The Real Convergence Story Is Happening in Local Markets
BusinessDesk and Range Rover bring back the CEO Index