As a podcast host, I am routinely sent pitches to be on my show which has over 130 episodes as of the end of 2023. Sometimes, these episodes fall into what I call the "not quite on topic" but "potentially interesting to my audience."

Here's a great example:

Let's say you have a product or service that can cut down on my machine learning model-training time by 50%. Now, my audience of data product leaders may find that interesting. However, my show is not about the engineering and model-making aspects of AI. It's about increasing meaningful user adoption, tangible business value, and building ethical, human-centered ML/AI solutions by leveraging the methods of software UX design and product management.

This is where your Promoted Episode come in.

In 2024, I will be experimenting with hosting promoted, full length interviews just like I conduct with my regular guests. These episodes will allow me to experiment with broader topics, without alienating my audience as they will see a "Promoted" stamp next to your episode.

I will be highly selective with who I invite for Promoted Episodes, and I will not be facilitating product pitches, demos, or softball episodes. Retaining my audience's trust is my #1 goal.  As such, your Promoted Episode will still have to answer the question, "what's in it for the listener?"

Who listens to Experiencing Data?

Analytics on podcasts (!) are pretty opaque, but I suggest you look at our 35+ Apple Podcast reviews (5★) for ideas on who listens. My show hosts and routinely has as guests data product managers, CDOs, CPOs, VP/Heads of Data Science/Data Products/Analytics, and similar leaders in UX Design roles. For over 130 episodes, I have targeted this audience, and given the 5★ Apple Podcast rating, I think it's safe to assume that the intended audience is the one listening the most.

Show Stats and Benefits to You:

• Get exposure on a show in the top 2% of all podcasts in the world (according to ListenNotes.com in 2023)
• Reach a data product leadership audience that actually takes action on the ideas they hear: I built and launched the Data Product Leadership Community solely from my mailing list and podcast audience.  Bring your best ideas and make them actionable so my audience can support them.
• Rated 5 ★ stars on Apple Podcast as of 2023
• By and for decision makers who integrate product management and UX design with ML/AI, analytics and business strategy: since the first episode on Nov. 21, 2018, all 130+ episodes to date have been focused on decision makers in software product management, data product management, data science/ML/AI, and analytics.
• Not an ad! Get a real ~30-45 min. interview and episode: unlike ad spots that can be skipped over, on our episode together, you'll get the same interview experience I give all of my invited guests.
• Go beyond audio: get exposure to my 2,000 mailing list subscribers and 14,000+ LinkedIn followers: your episode can be summarized for my mailing list, fully transcribed for SEO on my website, and quotes/excerpts can be put into my Twitter and LinkedIn social media post/rotations.