February 8, 2024

Optimize Ad Buying with AI-powered Recommendations

AI-based features, such as recommendations, are powerful tools quickly becoming the norm in platforms. For example, Yahoo Blueprint powers numerous capabilities within the Yahoo DSP. Read on to discover what enables tools like recommendations to deliver optimized performance and what is available for you today.

Marcelo Machado

You’re probably hearing a lot about AI in advertising lately and may not be entirely sure what that means. We get that most users don’t want to hand their keys over to a black box and want to make informed decisions instead. So, we’re going to break down how AI should be used in an ad platform to make it more tangible, starting with campaign optimization recommendations.

A big part of Yahoo Blueprint and the DSP Dashboard is our AI-based recommendations, which recommend campaign adjustments to maximize delivery and expand the success of the best performing lines. 

First, AI is not magic! It actually means that we have computational methods of analyzing large amounts of data, processing them and generating information that’s usable. So, our recommendations are not popping out of thin air, but instead we parse all of our running lines through machine learning models, such as neural networks, to determine how tweaking various parameters might optimize delivery. 

This is only possible because we analyze over a million data signals from the daily processing of more than two trillion bid requests to calibrate those models. These data signals include:

  • Past line delivery
  • Forecasted supply (the same as available through Omniscope!)
  • Optimization modeled performance

These data signals analyze past delivery metrics and compare them with the predicted delivery based on our forecast. Then, we can extrapolate how different optimization strategies would perform in order to provide sound data-enhanced recommendations.

The advantage of utilizing these different data points is that our recommendations aren’t just simply telling you to do something. By leveraging our forecast, for example, we’re able to provide clear rationale for our guidance and show you the estimated impact that such a change will have!

In the end we’re providing a few different recommendations:

  • Incremental Budget
    For CPA and CPC lines that are reaching their budgets and staying under their goals, we estimate how much budget could be added to the line to push performance with minimal impact to their CPA or CPC goals.
  • Max CPM
    For the same CPA / CPC lines, this recommendation shows how changes to the maximum CPM can help fully spend the budget or increase their KPI performance.
  • Viewability
    If viewability targeting is leading to under delivery of impressions, this recommendation will show the effects of adjusting the viewability target.

And we’re not done. This space is iterating quickly across our industry and platforms in particular. Yahoo DSP already has more recommendations and insights being cooked up on the Dashboard, leading to more options and insights for buyers. Make sure to be on the lookout for more!


About Marcelo Machado 

Marcelo Machado is a Tijucano and tricolor (go Fluminense Football Club!)  working as a product manager for Insights and Recommendations on the DSP. He helped make the DSP Dashboard a reality and is an enthusiast of making the DSP more intuitive and easier to use.

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