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Private podcast listening statistics for end-user recommendations, advertisers & podcasters

AW1.121 | Day 2 | 11:00 - 12:00 | Speakers: Koen Glotzbach

Private podcast listening statistics for end-user recommendations, advertisers & podcasters
A picture of one of the buildings at the ULB campus

Stream opens at 11:00 (Europe/Brussels)

Notes

Abstract

Podcast is a decentralised and diverse ecosystem. Listeners can get any podcast (from any podcast hosting provider) in whichever app (client) they prefer. This fosters creativity and independence, but makes it challenging to get reliable statistics. And statistics are important: * Podcast apps want to give good recommendations for new users * Podcasters want to know how well their show does * Advertisers want to ensure they get value for money

We're here to discuss how we can bring these goals together and respect listeners' privacy in the process.

Relevant links: * Privacy First Accurate Audio Analytics * Open Podcast Prefix Project * Feature-rich (Podcast Index-based) Discover screen (AntennaPod forum thread) * API Docs | PodcastIndex.org (the endpoint to get ‘trending’ podcasts, though we don’t know what makes something ‘trending’)

Speakers

Koen Glotzbach

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