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
How Degree Is Positioning Itself For The World Cup
Week of June 1 Cable News Ratings: MS NOW Only Network to Grow Across All Dayparts
EXCLUSIVE: HP Hands Global Media to Publicis, Ending Omnicom’s 17-Year Run