Skip to content
TrackPodcasts
technologyApr 24, 202451:49pending

Episode 35: Data-Driven Podcasting

About this episode

According to the Interview Valet 2023 State of Podcast Guesting Annual Report, there are over 380,000 active podcasts in the world right now, with the average podcast episode receiving just 150 downloads within 30 days of its release.

So, for individuals and organisations looking to use podcast marketing to grow their business, just booking podcast guest appearances isn’t enough. It’s necessary to use a targeted strategy based on data.

In this episode, Tom Schwab joins Dr Genevieve Hayes to discuss how Interview Valet uses data to optimise business results in podcast interview marketing.

Guest Bio

Tom Schwab is the founder and Chief Evangelist Officer of Interview Valet and the author of Podcast Guest Profits and One Conversation Away. He is also an engineer whose first job out of college involved running nuclear power plants in the US Navy.

Talking Points

  • What is podcast interview marketing and how it differs from traditional digital marketing approaches?
  • How Tom uses data to inform podcast guest marketing strategies at Interview Valet.
  • The most important metrics for targeting podcast marketing and optimising return on investment.
  • What makes a top podcast?
  • How Tom’s use of data and analytics has evolved over time.

Links

Get every episode summarized

Each time Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm. publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

Episode 35: Data-Driven Podcasting

Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

0:00
51:49

More episodes

More from Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

View all episodes →