Analytics Power Hour

What Analytics Power Hour does

Analytics Power Hour is an independently operated podcast platform targeting data and analytics professionals. Founded in 2015 (firmographics) with the podcast launching in 2017, the show is produced by five co-hosts — Michael Helbling (Atlanta), Tim Wilson (Columbus, Ohio), Moe Kiss (Sydney, Australia), Julie Hoyer, and Val Kroll — who record remotely across the United States and Australia. The conversational format covers topics such as semantic layers, AI in analytics, LLMs, MCP (Model Context Protocol), business acumen, and industry tooling trends, with occasional guest experts and listener-submitted topics. Several hosts hold day jobs at established analytics organizations (Moe Kiss at Canva; Julie Hoyer at Further), which lends practitioner credibility to the show.

The core product is a biweekly audio podcast distributed through commodity infrastructure (Libsyn/Blubrry hosting) across Apple Podcasts, Spotify, Google Podcasts, YouTube, TuneIn, iHeart, and RSS. Episode #300 was published in June 2026, demonstrating nearly a decade of continuous output. The platform operates a companion Zazzle merchandise store at nominal 5–10% profit margins; there is no proprietary technology stack, no mobile app, and no API.

Monetization is limited and structurally hobby-scale. Revenue derives from podcast sponsorships (Ask-Y/Prism, Stape, Recast) and merchandise sales, with the operation explicitly described as a professional development exercise rather than a commercial venture. There is no external institutional investment, no parent company, no legal entity suffix, and no disclosed ownership changes. Audience engagement is built organically through Twitter (@analyticshour), LinkedIn, the Measure Slack community, and listener-submitted topic proposals, with no paid acquisition channels.

Name

Analytics Power Hour

Legal name

Analytics Power Hour

Website

https://analyticshour.io

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

1–10 employees

Short description

Analytics Power Hour is an independently operated podcast covering data and analytics topics for industry professionals. Produced by five co-hosts across the US and Australia, it has released 300+ episodes since 2017 and monetizes modestly through sponsorships and merchandise.

Ownership category

akta.pro rank

Product category

Podcast Content

NAICS

Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers (516210), Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers (51621), Other Sound Recording Industries (51229)

akta.pro primary industry

Podcast Hosting, Distribution & Listening Platforms (BPAMAJAD)

akta.pro secondary industries

Podcast Hosting Platforms (RSS, Analytics, Distribution) (MPACADAA), Podcast Ad Sales Networks & Monetization Platforms (MPACADAD), Podcast Hosting & Distribution Platforms (MPAIADAB)

Keywords

• Data analytics podcast
• Business intelligence content
• Analytics industry podcast
• Digital analytics show
• Data professionals podcast

Headquarters

HQ city

Atlanta

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2C

Offering type

Digital Commerce or Content

Cost components

Personnel, Operations, Marketing or Sales, Technology or R&D

Revenue model

1. Show Sponsorships: The podcast is sponsored by companies including Ask-Y (Prism), Stape, and Recast. Sponsorships are integrated into episodes as ad reads and mentions.
2. Merchandise Sales: The show operates a Zazzle store selling merchandise with a nominal profit margin of 5-10%. Proceeds from merchandise are earmarked for Tim Wilson's daughter who helped set up the store.

Pricing tiers

Go-to-market motion1 record

Distribution channels7 records

Marketing channels6 records

Core offering

Analytics Power Hour produces and distributes a free conversational podcast focused on data and analytics topics, with multiple rotating co-hosts and occasional industry guest experts. Episodes are released approximately every two weeks and made available through major podcast directories, an RSS feed, and a companion merchandise storefront on Zazzle.

Product overview

Analytics Power Hour is a conversational podcast focused on data and analytics topics, distributed across multiple platforms including Apple Podcasts, Spotify, YouTube, TuneIn, and iHeart Radio, with additional access via RSS feed. The show features discussions with industry guests and regular co-hosts exploring analytics trends, challenges, and best practices. A companion merchandise store operates through Zazzle. The podcast episodes include audio downloads, shownotes with resource links, and occasional sponsor integrations (Prism from Ask-Y, Stape), though these sponsorships represent external products rather than the podcast's own offerings.

Differentiator

Problem solved

Functional benefit

Products and services

• Analytics Power Hour Podcast A free conversational podcast covering data and analytics topics, featuring discussions with industry guests and co-hosts exploring current trends, challenges, and best practices in the analytics field. Episodes are released approximately every two weeks and distributed through Apple Podcasts, Spotify, Google Podcasts, YouTube, TuneIn, iHeart, and RSS feed.
• Analytics Power Hour Merchandise Store Online merchandise store on Zazzle offering branded items for the podcast, with proceeds partially supporting the show's operations at a nominal profit margin of 5-10%.

Segments1 record

Ideal customer profiles1 record

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Scale indicators2 records

Recent moves4 records

Expansion highlights3 records

Others

• Patreon: Direct-to-creator monetization platform used by many independent podcasts for audience-funded revenue. Comparable as a monetization channel for hobby-positioned podcasts, though APH currently uses sponsorships and merchandise instead.
• Measure Chat (Slack community): Slack-based community for digital analytics professionals that serves as a distribution and engagement channel for APH. Comparable as a community-led GTM channel rather than a direct content competitor.

Direct peers

• SuperDataScience Podcast: Long-running data science and analytics podcast with industry guests and a practitioner host. Comparable audience (analytics professionals), sponsorship model, and conversational format.
• Data Skeptic: Long-running conversational podcast covering data science, machine learning, and analytics topics with expert guests. Directly comparable to Analytics Power Hour in audience, format (conversational panels with practitioners), and sponsorship-driven monetization.
• The Data Chief: Podcast focused on data leaders, CDOs, and analytics executives. Comparable in targeting analytics professionals, though skewed toward leadership content rather than practitioner topics.
• Linear Digressions: Independent podcast on data science and machine learning hosted by practitioners. Comparable as a niche, practitioner-led, hobby-positioned analytics podcast distributed via major podcast platforms.
• DataFramed (DataCamp): DataCamp's data science podcast featuring conversations with analytics practitioners. Comparable target audience and conversational format, though backed by a commercial education platform rather than independent hosts.

Broad incumbents

• Blubrry: Podcast hosting platform serving as APH's CDN (media.blubrry.com appears in episode URLs). Enables independent podcasters' distribution and is comparable as ecosystem infrastructure.
• O'Reilly Data Show: Podcast from O'Reilly Media covering data, AI, and analytics. Overlaps in audience and topic, but O'Reilly is a large commercial publisher with broader content portfolio and significant distribution advantage.
• Libsyn: Podcast hosting and distribution platform used by many independent podcasts (Analytics Power Hour's RSS infrastructure). Adjacent infrastructure provider rather than direct competitor, but central to the ecosystem.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights5 records

Customer concentration

• Xtwitter.com/analyticshour
• LinkedInlinkedin.com/company/analyticshour

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Analytics Power Hour