Trying to reach an audience of data product leaders?
Do you seek to serve decision makers leading ML/AI, data science, and product management teams?
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.
I‘m constantly gathering new input for my work as PM but I also recommend this Podcast for anyone who just wants to get a understanding of the topic.
I work in Life Sciences industry where Big Data is a Big Problem. Many of the BioTeam’s clients are struggling with transforming their data. I am in the Chief Product Officer Program at the Kellogg School of Management. The "Experiencing Data” podcast has been the perfect complement to my program. Brian and his guests keep you up on the latest data trends and provide value practical information you can use as soon as you finish the podcast.
Many of the blog posts, podcasts, etc. are focused on the technical "how" behind analytics and visualization (e.g. which library or tool to use, streaming or batch). This podcast focuses more on the critical link between the business strategy, user experience and use case for analytics projects and the technical underpinnings. For anyone looking at making their data products more successful, these discussions are tremendously valuable.
Want pricing or have questions?
To request pricing, or ask other questions, just contact me below: