"With podcast ad spend rising fast ( the latest IAB/PwC outlook shows US revenue climbed to USD$1.9bn (£1.4bn) in 2023 and is projected to top USD$2bn (£1.5bn) this year), this surge has brought new opportunities for audio advertisers. With DAX US delivering over 500 million monthly impressions across more than 20,000 podcast shows, integrating NumberEight's technology means advertisers can now target specific episodes that connect with their core audience."
"NumberEight maps inventory to Interest-Based Affinity Audiences defined by passions, life stages, and cultural moments. These labels are derived from publisher listening and content signals within a privacy-first, ID-less framework. NumberEight fuses anonymised first-party listening data with rich content metadata, parsed by large-language models, to score every show for its demographic profile, then layers contextual analysis and combines the two signals to create privacy-safe, ID-less, interest-based audience segments."
"This partnership prioritises interest-based, purchase-driven cohorts that advertisers can activate immediately across all podcasts available through the DAX US network. Each segment is aligned via content and contextual signals to placements most likely to deliver results. For always-on efficiency, DAX offers Tech Enthusiasts, Auto Intenders, Affluent Consumers, Fitness Fans, Parents, and 60+ other interest segments. NumberEight and DAX US are also offering the following audience opportunities:"
NumberEight partnered with DAX US to enable interest-based, privacy-first podcast targeting across DAX's network. DAX delivers over 500 million monthly impressions across more than 20,000 podcast shows, while US podcast ad revenue climbed to USD$1.9bn in 2023 and is projected to top USD$2bn in 2024. NumberEight maps inventory to Interest-Based Affinity Audiences defined by passions, life stages, and cultural moments using publisher listening and content signals in an ID-less framework. The company fuses anonymised first-party listening data with content metadata parsed by large-language models to score shows demographically, then layers contextual analysis to create privacy-safe, purchase-driven segments that advertisers can activate immediately, including seasonal and vertical cohorts.
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