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How Google Ads Responsive Search Ads Use Machine Learning
Season 2
Episode 76
Published 2 weeks, 1 day ago
Description
This episode of The Google Ads Podcast with Fexingo drills into how Responsive Search Ads (RSAs) use machine learning to mix headlines and descriptions in real time. Lucas and Luna explore a specific case: a mid-size B2B SaaS company that tested RSA versus Expanded Text Ads across three months. They break down how Google's algorithms pick combinations that drive clicks, why ad strength scores matter, and how to write headlines that play well together. The hosts also share tips on pinning, testing creative, and avoiding common pitfalls like overusing broad match. By the end, you'll understand why RSAs are now the default and how to make them work harder for your campaigns. This is episode 76 of the series.