Trying to reach CDOs and senior enterprise data analytics and AI executives?

They listen to Experiencing Data

Introducing Promoted Episodes on:

Experiencing Data with Brian T. O'Neill (Designing for Analytics)

In the top 2% of all podcasts in the world

TOTAL DOWNLOADS:

60,000

Last 24 MOnths

DOWNLOADS:

~650

PER EPISODE, First 30D

FOLLOWERS:

4,657+

ONApple + Spotify ALONE

building trust for

7+ years

about data products

*Downloads based on trailing 24 months. All data as of June 2026.
See **stats disclaimer at end of page for how stats are computed.

As a podcast host, I am routinely sent pitches to be on my show. 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.

My Promoted Episodes are 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 am highly selective with who I invite for Promoted Episodes, and I will not be hosting product pitches, demos, or softball episodes. Retaining my audience's trust is my #1 goal.  As such, I'll help you ensure your Promoted Episode answers the question, "what's in it for the listener"—while also showcasing your ideas, work, or products/services.

Who listens to Experiencing Data?

Analytics on podcasts (!) are pretty opaque, but I suggest you look at our 43+ Apple Podcast reviews (4.9★) for ideas on who listens. My show hosts and routinely has as guests data product managers, CDOs, CPOs, and VP/Heads of Data, AI, and Analytics.

Show Stats and Benefits to You:

  • Get exposure on a ~200 episode show in the top 2% of all podcasts in the world (ListenNotes.com, Jul. 2026)
  • Reach a data product leadership audience that actually takes action on the ideas they hear: I built and ran the Data Product Leadership Community for two years, solely from my mailing list and podcast audience, many of whom continue to be long-time listeners to this day.
  • Rated 4.9 ★ stars on Apple Podcast (as of Oct. 2025)
  • An audience of commercial and enterprise analytics, data, and AI leaders focused on value creation since the first episode on Nov. 21, 2018
  • Not an ad! You get a real ~30-45 min. interview and professional produced episode: unlike ad spots that get 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 1,700 mailing list subscribers and 16,000+ 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.
  • Ready in 2-4 weeks, with a rush option available

“

The Go-To Podcast for Data Product Management

⭐️⭐️⭐️⭐️⭐️
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.

Fredoo_ via Apple Podcasts Germany

“

The perfect complement to my CPO program at the Kellogg School of Management

⭐️⭐️⭐️⭐️⭐️
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.

Stan Gloss
Co-Founder & Fellow
BioTeam Inc.

“

Tremendously valuable…Insights in how to think about analytics projects

⭐️⭐️⭐️⭐️⭐️
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.

JKinghorn

Choose a Package:

Bronze

Audio only:

  • Professionally edited audio by my podcast team
  • Unique episode URL and title card, and show summary with guest headshot, company name, and title, and short paragraph summary.
  • 3  relevant outbound links on your episode URL
  • 1 basic email broadcast to 1,700+ susbcribers to my Insights mailing list  (text summary of the show and a link to the episode)
  • No-risk, 100% money-back guarantee:
    Not happy after our planning call or the episode recording? No worries: I'll refund your full payment immediately.

Silver

Audio + text versions:

  • Everything in Bronze plus:
  • A 1-page, hand-edited show notes summary including cue markers for key points. Ex:  "(3:43) Diane explains her definition of data products"
  • Full text transcript, word for word, of our interview added to the episode URL (SEO boost for your content)
  • 1 upgraded email broadcast to my list:  I'll send your entire show notes summary to my subscribers including cue markers for specific topics we discussed

Gold

Audio, text & 3 months social promotion:

  • Reach my 16,000+ LinkedIn followers - I will share a minimum of 3 quote-posts from your episode on LinkedIn.
  • Get priority in my podcast-related social media posts for 1-2 weeks (until all your quote-posts have been published), all of my social media posts about my podcast will be about your episode. I will tag the guest as well.
  • 3 additional months of promotion on LinkedIn:  after the initial launch, your episode quote-posts will go into a regular rotation of quote-posts from my show's episode archive.
  • LinkedIn posts are double published via my personal profile and my company page (Designing for Analytics)
  • Release it ASAP or schedule your episode release date: Your episode can be moved into the next available slot in my production queue, or lock in a specific date if you need to align this with a specific launch, event, or promotion.

Want pricing or have questions?

Contact me below:

Not ready to move on this, but want to join my Insights mailing list where I send out 1-page summaries and transcripts of new episodes? Subscribe Now

 

Promoted Episodes are subject to these additionalTerms of Service.

** Stats Disclaimer: How Performance Metrics Are Computed

You're a data person so you are probably wondering!

All metrics in quotes refer to how platform's refer to their metrics.

All-time downloads is the sum of "Lifetime Listeners" via Castos, my original host, plus "Total Downloads" from Podbean (my current host). Followers is the sum of "Apple Followers" and "Spotify Listeners." Average listeners per month is the average of Podbean's total monthly "Listeners" over the last 3 complete months.

And the podcast's age? Well, the show's birthdate was November 21, 2018. Do the math! 😉