What does A/B testing in Google Ads involve?

A/B testing in Google Ads involves comparing two versions of an ad to determine which performs better. This method allows advertisers to assess the impact of different elements of an ad, such as headlines, images, calls-to-action, or even landing pages, on user engagement and conversion rates.

By running two variations simultaneously, marketers can collect data on user interactions with each version, analyze performance metrics, and ultimately identify which ad resonates more effectively with the target audience. This testing approach is crucial for optimizing ad campaigns, as it helps to make informed decisions based on empirical evidence rather than assumptions, leading to improved ad performance and return on investment.

The other options refer to different processes that do not pertain directly to A/B testing in the context of analyzing ad effectiveness within Google Ads campaigns.