Podchaser Unveils Performance+, the Podcast Industry's First Recommendation Engine for Direct Response Campaigns
Press Release
Latest iteration of AI-powered Collections+ feature expands data-driven decisioning for advertisers in podcast host-read campaigns
Podchaser, the podcast industry’s intelligence engine, today announces an update to its Collections+ feature with the launch of Performance+. Performance+ is an industry-first tool able to identify the most effective podcasts for performance and direct response campaigns for advertisers.
Through proprietary data modeling, Podchaser analyzes podcasting behaviors and characteristics in more detail than ever before. These attributes are then used to identify and recommend podcasts that will deliver the strongest results for advertisers’ individual performance marketing objectives.
"Performance+ is a recommendation engine for direct response clients in podcast advertising," said Bradley Davis, Podchaser CEO. "In these kinds of campaigns, reach doesn’t necessarily equal conversions. Performance+ leverages proprietary modeling to profile podcasts based on metrics like release schedules, streaming versus downloading activity, and back catalog listening. This identifies shows optimized for reaching unique listeners, which we know is a core requirement for direct response clients.”
Crucial to the development of Performance+ is the level of detailed data that dynamic ad insertion in podcasting offers. By analyzing the data afforded by host-reads that have been dynamically inserted - as opposed to the legacy behavior of being “baked into” the fabric of an episode by the host - Podchaser empowers advertisers with the data-driven confidence they need to make strategic show selections for future performance campaigns. This data-backed confidence ultimately leads to stronger performance, rather than just securing ad slots based on different buying models.
Performance+ further 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 unparalleled data and insights to connect with new listeners and convert them into customers. Performance+ also allows podcast marketplaces to better monetize their full networks of podcasts by matching more of the right shows with the right advertiser verticals.
Performance+ is being incubated and tested with Acast, which is already using the capability in its own Acast-brand podcast advertising campaigns with promising early returns. Since launch, Collections+ as a whole has delivered 1 billion impressions.
Performance+ is now available to any podcast marketplace globally. Contact sales@podchaser.com.
Press Release
Latest iteration of AI-powered Collections+ feature expands data-driven decisioning for advertisers in podcast host-read campaigns
Podchaser, the podcast industry’s intelligence engine, today announces an update to its Collections+ feature with the launch of Performance+. Performance+ is an industry-first tool able to identify the most effective podcasts for performance and direct response campaigns for advertisers.
Through proprietary data modeling, Podchaser analyzes podcasting behaviors and characteristics in more detail than ever before. These attributes are then used to identify and recommend podcasts that will deliver the strongest results for advertisers’ individual performance marketing objectives.
"Performance+ is a recommendation engine for direct response clients in podcast advertising," said Bradley Davis, Podchaser CEO. "In these kinds of campaigns, reach doesn’t necessarily equal conversions. Performance+ leverages proprietary modeling to profile podcasts based on metrics like release schedules, streaming versus downloading activity, and back catalog listening. This identifies shows optimized for reaching unique listeners, which we know is a core requirement for direct response clients.”
Crucial to the development of Performance+ is the level of detailed data that dynamic ad insertion in podcasting offers. By analyzing the data afforded by host-reads that have been dynamically inserted - as opposed to the legacy behavior of being “baked into” the fabric of an episode by the host - Podchaser empowers advertisers with the data-driven confidence they need to make strategic show selections for future performance campaigns. This data-backed confidence ultimately leads to stronger performance, rather than just securing ad slots based on different buying models.
Performance+ further 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 unparalleled data and insights to connect with new listeners and convert them into customers. Performance+ also allows podcast marketplaces to better monetize their full networks of podcasts by matching more of the right shows with the right advertiser verticals.
Performance+ is being incubated and tested with Acast, which is already using the capability in its own Acast-brand podcast advertising campaigns with promising early returns. Since launch, Collections+ as a whole has delivered 1 billion impressions.
Performance+ is now available to any podcast marketplace globally. Contact sales@podchaser.com.
