The central AI suite that powers performance-based solutions within the Yahoo DSP, Yahoo Blueprint, was introduced by Yahoo Advertising. Yahoo Blueprint is powered by more than 335 million globally logged-in Yahoo users. It improves decision-making, simplifies AI, and acts as a result-driven guide for advertisers at every stage of the campaign lifecycle. Together with Fortune 500 brand partners and agencies, this new AI suite has launched. With the use of valuable first-party data and state-of-the-art AI technology, Blueprint provides real-time optimization recommendations that enable advertisers to meet their campaign goals and determine the lifetime value and conversion potential of each user.
Yahoo’s demand-side platform (DSP) will benefit from artificial intelligence in order to enhance data visualization, forecasting, optimization, and predictive audiences. Using first-party data, the Blueprint tool can find customers who match the expected value of the brand’s current customer base. Using Yahoo’s algorithmic forecasting tool Omniscope, it allows advertisers to predict the incremental reach of connected television (CTV) advertisers against linear audiences.
Yahoo’s new strategy reflects how the programmatic market is changing. Yahoo left SSP Business because a large number of publishers can now effectively monetize their inventory through programmatic changes to header-bidding wrappers. They therefore depend less on publisher tech platforms. In a similar vein, the introduction of the Blueprint is a reaction to growing buy-side sophistication.
One of Yahoo Blueprint’s primary algorithmic forecasting tools, Omniscope, lets advertisers plan and evaluate expected performance and reach across a range of channels, exchanges, formats, and targeting parameters. It assesses how adjustments to targeting parameters can affect scale, projected spending, and winnable impressions, and it facilitates mid-campaign planning and optimization.
Yahoo’s solution leverages location and purchase data from users logged in with Yahoo email addresses, as well as first-party behavioral data sourced from their owned-and-operated websites. Yahoo DSP clients can expect better performance with Yahoo Blueprint, leveraging years of AI experience to bid on the right impressions, optimizations through AI co-pilot that suggest campaign enhancements and auto-optimize, and an improved and straightforward user interface (UI) that helps advertisers and increases efficiency. Yahoo’s DSP has long possessed AI capabilities, but Blueprint is able to present algorithmic recommendations for several campaigns on a single dashboard.
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In order to improve performance, Blueprint first considers the advertiser’s Key Performance Indicators (KPI) before making suggestions for target audiences or Private Marketplaces (PMPs). These suggestions are accompanied by forecasts of the effects that various audience targeting techniques will have on the designated KPIs. Customers are free to choose whether or not to use these recommended campaign tactics.
All Yahoo DSP clients have easy access to the blueprint via the current dashboard. New data visualizations, audience insights, campaign forecasting tool integration, predictive audience modeling, and customer lifetime value features are all introduced during the first phase of implementation. Yahoo intends to release additional information in the upcoming summer. Additionally, when it fits the needs of a particular campaign, Yahoo’s Backstage direct publisher connection is incorporated as a supply source for Blueprint optimization. Yahoo emphasizes how important its first-party data pools are. It is easier to comply with privacy regulations when first-party data that has been collected with user consent is used.
Even though AI-driven optimization tools are very beneficial, there are still transparency issues. This is especially when it comes to competing products like Advantage+ from Meta and Performance Max from Google. Yahoo is dedicated to encouraging candid dialogue with advertisers about the information that goes into its algorithmic recommendations. Notably, when it comes to executing campaign modifications, advertisers have the last word.
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