Latest iteration of AI-powered Collections+ feature expands data-driven decisioning for advertisers in podcast host-read campaigns.
Through proprietary data modeling, Podchaser analyzes podcasting behaviors and characteristics in more detail than previously. These attributes are then used to identify and recommend podcasts that will deliver the strongest results for advertisers’ individual performance marketing objectives.
“The emerging synergies between Podchaser and
Crucial to the development of Performance+ is the level of detailed data that dynamic ad insertion in podcasting offers. Podchaser empowers advertisers with the data-driven confidence they need to make strategic show selections for performance campaigns. This data-backed confidence ultimately leads to stronger performance, rather than just securing ad slots based on different buying models.
Performance+ establishes Podchaser as the intelligence engine for podcast advertising through its unique ability to enable smarter decision making for better campaign performance. Advertisers can tap into Podchaser’s data and insights to connect with new listeners and convert them into customers.
Performance+ is being incubated and tested with
Performance+ is available to any podcast marketplace globally.
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