11 Often-Overlooked Ways To Leverage Machine Learning For Advertising

Maya Youdovski

11 Often-Overlooked Ways To Leverage Machine Learning For Advertising

Artificial intelligence is all over the world, not least of all taking over agencies as a means of supplying actionable insights. Machine learning tools teach an AI what it should and shouldn’t do, iteratively producing better results with each cycle.

Today’s machine learning ad tools can both create ads and then use insights generated from their creation to adapt their next attempt. Many businesses have already embraced the new technology of AI and machine learning to develop ads and check their efficacy. Below, 11 contributors to Forbes Agency Council look at the lesser-used ways businesses can leverage machine learning advertising tools for their benefit.

3. Evaluating Ad Viewing Experience

It’s not just about reaching a user, but rather what experience you deliver once you do. Use AI to gauge a more progressive metric — viewing experience. According to a GroupM study, premium placements produce stronger response rates across the board with average uplifts of 10.5% for brand awareness, 19.2% for ad recall, 9.7% for brand perception and 10.3% for recommendation intent. – Dvir Doron, Cedato

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