The Analytics Power Hour
by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer
Is this your podcast?Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 30 chart positions in 30 markets.
By chart position
- 🇬🇧GB · Marketing#43100K to 300K
- 🇺🇸US · Marketing#8830K to 100K
- 🇩🇪DE · Marketing#1195K to 30K
- 🇦🇺AU · Marketing#1285K to 30K
- 🇳🇱NL · Marketing#6210K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
174K to 569K🎙 ~2x weekly·306 episodes·Last published 1mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
349K to 1.1M🇬🇧26%🇻🇳26%🇺🇸9%+27 more - Active Followers
Loyal subscribers who consistently listen
105K to 341K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 16 epsHosts
Recent guests
Recent episodes
#302: It Was a Dark and Stormy Insight...
Jul 21, 2026
1h 08m 09s
#301: It Turns Out Analysts Are Natural AI Crafters
Jul 7, 2026
1h 16m 34s
#300: Are Semantic Layers Really Necessary?
Jun 23, 2026
58m 10s
#299: AI Can (Help) Build the Dashboard. It Can't Build the Buy-In.
Jun 9, 2026
1h 00m 46s
#298: Listener Questions Answered Live from Marketing Analytics Summit!
May 26, 2026
52m 18s
Social Links & Contact
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 7/21/26 | data analysisstorytelling+4 | Aleya Harris | — | — | data storytellingbusiness insights+3 | Stape | 1h 08m 09s | ||
| 7/7/26 | AI customizationbusiness technology+4 | Rob Collie | MicrosoftP3 Adaptive+1 | — | AICrafters+5 | Stape | 1h 16m 34s | ||
| 6/23/26 | semantic layersdata modeling+3 | Jacob Matson | MotherDuck | — | semantic layerdata jungle+3 | Stape | 58m 10s | ||
| 6/9/26 | analyticschange management+4 | Yehonatan Schwarzmer | — | — | analytics platformBI tool migration+5 | Stape | 1h 00m 46s | ||
| 5/26/26 | AIstakeholder management+3 | — | Marketing Analytics Summit | — | analyticsAI+4 | — | 52m 18s | ||
| 5/12/26 | analyticsmental models+4 | — | AI Slop | — | analyticsmental models+6 | — | 1h 06m 03s | ||
| 4/28/26 | precision vs accuracydata trust+3 | Arik Friedman | Atlassian | — | data accuracydata precision+3 | — | 1h 04m 05s | ||
| 4/14/26 | researchanalytics+5 | Stefanie Zammit | Bang & Olufsen | — | researchanalytics+7 | — | 1h 09m 29s | ||
| 3/31/26 | AI adoptionanalytics teams+3 | John Lovett | SEER Interactive | — | AIanalytics+5 | — | 1h 08m 00s | ||
| 3/17/26 | tool selectionfeature comparisons+3 | — | Google Analytics Alternatives | — | tool selectionfeature comparisons+3 | — | 1h 05m 33s | ||
| 3/3/26 | AI adoptionproductivity+4 | Aubrey Blanche | — | — | AIproductivity+4 | — | 1h 04m 17s | ||
| 2/17/26 | data workdata practitioners+4 | — | — | — | data analysisSQL+5 | — | 1h 02m 38s | ||
| 2/3/26 | organizational learningexperimentation+3 | Mårten Schultzberg | Spotify | — | learningexperimentation+4 | — | 1h 06m 17s | ||
| 1/20/26 | business acumendata analysis+3 | — | — | — | databusiness acumen+5 | Recast | 1h 10m 15s | ||
| 1/6/26 | AIacronyms+3 | Sam Redfern | — | — | MCPmodel context protocol+6 | Recast | 1h 00m 39s | ||
| 12/23/25 | year in reviewindustry reflections+3 | — | 2025 Year in Review | — | year in reviewshow highlights+3 | Recast | 1h 00m 49s |
Showing 16 of 16
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Chart history for The Analytics Power Hour
Peaked at #4 in VN, top 10 in 2 of 31 tracked markets, currently #4 in VN.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| VN | — | #4 | #4 | — |
| Finland | — | #10 | #10 | — |
| NG | — | #21 | #21 | — |
| KE | — | #37 | #37 | — |
| United Kingdom | — | #43 | #43 | — |
| Netherlands | — | #62 | #62 | — |
| Brazil | — | #68 | #68 | — |
| CH | — | #78 | #78 | — |
| GR | — | #80 | #80 | — |
| IS | — | #84 | #84 | — |
| South Africa | — | #85 | #85 | — |
| United States | — | #88 | #88 | — |
| MY | — | #90 | #90 | — |
| Mexico | — | #92 | #92 | — |
| Ireland | — | #99 | #99 | — |
| PL | — | #99 | #99 | — |
| CL | — | #107 | #107 | — |
| Denmark | — | #110 | #110 | — |
| SA | — | #110 | #110 | — |
| India | — | #110 | #110 | — |
Chart Positions
31 placements across 30 markets.
Chart Positions
31 placements across 30 markets.