Glossary
Google Ads Experiments
Google Ads Experiments is a testing framework within Google Ads that allows advertisers to run controlled split tests on campaign settings, bid strategies, keywords, and ad creative without permanently altering live campaigns. Experiments create a duplicate campaign with a single variable changed — such as testing Target CPA bidding against Maximize Conversions, or broad match against phrase match — and split traffic and budget between the original and the experiment according to a defined split ratio. Google Ads automatically measures statistical significance and provides confidence intervals for key metrics including conversions, CPA, ROAS, and CTR. Experiments can run for a set duration or indefinitely, and winning results can be applied to the original campaign with a single click. This framework enables data-driven decision-making in paid search, replacing the guesswork of making campaign changes based on intuition alone. Google Ads Experiments are particularly valuable for evaluating Smart Bidding strategy migrations, match type expansions, and Performance Max adoption — changes that carry significant budget risk without proper testing.