Test and scale the incremental impact of Performance Max campaigns with Experiments [Guide]
Performance Max is a new goal-based campaign type that allows performance advertisers to access all of their Google Ads inventory from a single campaign.
The Google Ads team has published a new guide ‘Test and scale the incremental impact of Performance Max campaigns with Experiments’.
The Google team says, “Here are three best practices to keep in mind when using experiments and to learn how you can get started with experiments today.
1. Set a clear hypothesis
Do: Form a hypothesis that is directly tied to your business goal and provides a clear purpose for why you’re running the experiment.
Why: Your hypothesis will help you determine whether your experiment was successful or not. For example, your hypothesis may be that by adding Performance Max to complement your existing campaigns, you’ll drive additional conversions at a similar or lower cost per acquisition.”
Test and scale the incremental impact of Performance Max campaigns with Experiments
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