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Modeled Value-Based Bidding, a Game-Changer in Activating First-Party Data

AI AI, AI Readiness, Consumer Insights & Activation, Data, Data Privacy & Governance, Data privacy, Death of the cookie 2 min read
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To navigate today's digital landscape, marketers must deliver tangible business results amidst heightened competition and an increasingly complex data privacy landscape. This requires a deep understanding of advertising data, the utilization of first-party data, optimized use of marketing platforms and identification of growth opportunities. And just as marketers are looking to understand how AI and machine learning fit into their digital advertising and data strategies, it’s no surprise that Google has innovated a game-changing solution that leverages machine learning to help optimize the already complicated consumer journey.

Modeled Value-Based Bidding (mVBB) enables precise audience targeting and media optimization through highly customized machine learning models. Relying primarily on advertisers’ first-party data, mVBB derives more value from traditional value-based bid strategies by drawing insights for bid optimizations in real time. 

      Modeled Value-Based Bidding addresses these challenges for marketers:

      • Third-party cookie deprecation and tightening privacy regulations pose significant headwinds for brands looking to connect with consumers.
      • With first-party data sources and data volumes growing at breakneck speeds, many marketers are overwhelmed by managing data manually.
      • Companies that have large data sets can’t manage manual bid strategies with one person or even a team.
      • More and more advertisers are looking to understand how AI and machine learning can fit into their digital advertising and data strategies to help drive efficiencies.
      Modeled Value-Based Bidding Webinar Speakers

      Eager to learn more?

      Join our Media.Monks experts Senior Director Machine Learning & AI Solutions Michael Neveu and Senior Data Scientist Mansi Parikh, along with special guest Drew Whitehead, Predictive Modeling Specialist at Google, for a discussion about Modeled Value-Based Bidding. In this webinar our team of experts cover:

      • The value of Modeled Value-Based Bidding
      • Strategies, technical specifications and testing frameworks
      • Real-world media use cases across multiple industries
      • Advanced models that are sure to boost performance
      • Three red-light/green-light questions to help decide whether mVBB addresses your business challenges

      This experience is best viewed on Desktop.

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      The website has been translated to English with the help of Humans and AI