By adding Podcast as a Listening Source, you can listen to and learn from Podcast data.

Podcasts are streamable and downloadable audio content available for on-the-go consumption. Sprinklr partners with Podchaser to streamline podcasting experience in a totally upgraded way. Gain access to live & historical data across 4.5M podcasts, 170M episodes. Integration of Podcasts as a Listening source will empower the research community to tap into a wide range of expert content on a myriad of topics via a comprehensively and continuously updated set of data streams.

See the following highlights of this integration –

• Explore podcast episodes data – set up keyword query topics and monitor mentions pulled in via keywords matching on episode title, description, transcripts (if available), and podcast title.

• Transcripts are available across 5k+ top podcasts, and this ranking is refreshed monthly. The episode's transcription is available for the initial 60 minutes.

• Channel Latency – access and listen to all new data within 24 to 48 hours

• Message text content and audio of podcast mentions is available across 40+ global languages

• You can now listen to the podcast as well by accessing the Audio Play bar on the message.

• We are currently working on enabling historical access to data for up to the last 5 years. Our goal is to make the complete 5-year data available over the next few weekends, starting this weekend.

Podcast source capabilities

• Source: Podcast

• Source of data: Data Vendors

• Coverage: Sprinklr supports coverage of over 4.5 million new Podcasts and 170 million+ episodes powered by Podchaser.

• Latency: 24 to 48 hours

• Historical data: Since 2017

• Backfill support: Yes, for a new source from the date of addition, for an existing source all the data that has been fetched.

• Engagement Stats Refresh Rate: Not supported

• Author/ Profile metadata details: Yes (Author Name)

  Note: Author URL is not consumed for web-sources, hence distinct users cannot be determined accurately.

• AI-enriched data: Sentiment, Emotions, Language, Word cloud, Topic Cluster, Gender (profile), Smart Themes Clustering, Smart Insights

• Message type: Podcast Message, Media Type, Podcast, Photo, Status, Link