Triton Digital Releases The New Zealand Podcast Ranker for November 2022



Triton Digital, the global technology and services leader to the digital audio, podcast, and broadcast radio industries, announced the release of the latest New Zealand Podcast Ranker. The Ranker provide insight into the Top 100 Podcasts as well as the Top Networks in New Zealand from 1 November through 30 November 2022, as measured by Triton’s Podcast Metrics measurement service.

The Top 100 Podcast Ranker and Top Network Ranker are ranked by monthly listeners, in accordance with the latest IAB Podcast Technical Measurement Guidelines.

For this reporting period, the top three podcast included The Mike Hocking Breakfast (NZME/iHeartRadio/ARN) climbing to #1, Casefile True Crime (AudioBoom) at #2, and Fletch, Vaughn & Hayley on ZM (NZME/iHeartRadio/ARN) at #3.

New podcasts debuting on the ranker this month include Jay-Jay & Flinny – More FM (rova (MediaWorks)), Lost in Panama (Kast Media), Out the Gayte (Brodie Kane Media), and Straight Up with Niva and Beatrice (NZME/iHeartRadio/ARN).

Participating networks include Audioboom, Brodie Kane Media, Headgum, Kast Media, LiSTNR (SCA), NOVA Entertainment, NZME/iHeartRadio/ARN, rova (MediaWorks), Sports Entertainment Network, (SEN), Stitcher Media, and Studio 7.

To participate in the ranker, view the full results of the ranker, and sign up to receive future rankers via email, please visit: https://tritonrankers.com/.

Please note that as of February 2023, Triton Digital will be transitioning from its website Podcast Ranker PDFs and only including this data on https://tritonrankers.com/. The PDF’s from 2022 will still be available to view on the Rankers site.

Triton Digital’s Podcast Metrics measurement service is certified by the IAB Tech Lab as complying with Version 2.1 of the IAB Podcast Measurement Technical Guidelines. It provides accurate and insightful data around how, when, and where podcast content is being consumed across multiple hosting platforms, with the ability to view metrics by date, range, location, device, podcast name, episode, title, and more.