For publishers, constantly adapting to change is just part of the job. In a relatively short timespan, we’ve seen the industry make huge strides in building efficiencies and transforming the way it drives revenue. But even in an environment where change is the norm, some years bring more challenges than others. The pandemic has brought fundamental disruptions to publishers’ businesses, not to mention new regulations and a move to remote collaboration.
In other words, publishers are changing the way they work — and to do it, they’re increasingly looking for insights into their ads business. From May 2020 to May 2021, we’ve seen a 48% increase in reports created in Data Studio for Google Ad Manager. That’s why we’ve been working on new ways to help our partners solve complex problems with machine learning, and help them save precious time and resources. As you navigate your own process, here are three ways Ad Manager can help you create value with automation.
1. Earn more with less effort
To help you uncover more value from your existing inventory, Ad Manager puts machine learning to work and automatically surfaces new opportunities to maximize revenue. Then our solutions let you quickly implement or easily run an experiment to test before you commit to the change.
For example, the Opportunities & Experiments feature estimates the opportunity created if you were to change a certain pricing rule or setting, then helps you run an experiment to validate the estimate, and finally activate the opportunity — all in one place. As a result, you’ll better understand the effect it has on your business, and can run a real-time experiment to verify it.
2. Identify issues and opportunities
Today, it’s harder than ever to monitor performance and identify issues and opportunities in your ad business operations. To help, Ad Manager both automatically surfaces opportunities for you as well as provides the tools to access the data to power your own insights and learning.


