Responsive Search Ads Improve With Machine Learning

Google’s new responsive search ads improve over time with help from machine learning.

The new responsive search ads are starting to roll out to some Google Ads accounts and the new format and creation tool will help improve performance of search text ads. Googler Matt Lawson recently shared an update on the new ad product and emphasized that machine learning with help optimize the new text ads moving forward.

In the new responsive ad builder, users will be able to add multiple headlines and descriptions that will be optimized through machine learning. A single search ad can contain up to 15 headlines and 3 description lines, so adding a wide variety of text is optimal.

Responsive Search Ads Improve With Machine Learning

The newly added ad strength indicator, similar to a password strength indicator, will help you along the way and let you know how strong your ad is. Google also now allows for an optional third headline and a second description line. They suggest to take advantages of these in order to allow their AI to learn more about what ads to show to specific users.

Overall, the goal of the new responsive search ads is to give advertisers a way the easily test multiple ads by way of machine learning. There’s even a new ad suggestion feature that will suggest specific ads based on what’s been performing best. In order to fully optimize your campaigns, its key to take advantage of these tools Google is giving advertisers.