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#1046The Analytics Power Hour73.6 / 100Get badge
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The Analytics Power Hour

Hosted by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer

Listed under Business › Marketing, Business › Management

Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show.

317 episodes · publishes fortnightly · latest 2026-09-15 · ~63 min/episode

Rank

#1046

Substance

73.6

/ 100

Breakdown

Scored 2026-09
Updated monthly

Marketing rank

#122 of 992

Best B2B Marketing Podcasts →

Across the index

#1046 of 6203

Substance

Top 17%

outscores 83% of the index

Why it scores where it does

The Analytics Power Hour ranks #1046 on The B2B Podcast Index with a substance score of 73.6 out of 100, scored across 5 recent episodes. It scores highest on guest caliber and conversational craft. Rusty Rahmer is a highly credible guest with direct C-suite and practitioner experience. He built analytics and digital capabilities at Vanguard, led transformation at GSK (a massive pharmaceutical company), and is now a CPO at a startup plus consultant. His experience spans the full lifecycle of these problems - building functions, scaling them, then realizing they weren't working as intended. This is someone who has actually lived the problems he's discussing, not a theory-peddler.

The five-dimension breakdown

Averaged across 5 recently scored episodes, with cited evidence.

Insight Density

15.0 / 20

The episode delivers solid, substantive ideas about organizational structure, customer-centric marketing, and the shift from reach-based to relevance-based strategies. However, much of the core insight is conceptual rather than data-driven, and significant portions are devoted to analogy explanation and friendly banter that dilute density. The core thesis - that organizations are optimizing for activity rather than impact due to siloed functions - is valuable but not novel.

“We've saturated the growth market. We've reached every corner of the market we can possibly reach. And now it's about quality of marketing, getting back to getting away from reach and frequency and getting back to timeliness and relevancy”

“The solution to that 20% growth is sitting somewhere in the data strategy or it's somewhere in the media strategy or it's somewhere in the Mar-Tex that it's not, it's all of those things functioning together to solve that problem”

Originality

14.2 / 20

The ideas presented - customer centricity, cross-functional teams, problem-based segmentation instead of outcome-based segmentation - are not new. While Rusty articulates them well and frames the organizational structure conversation around 'centers of excellence vs. journey pods' with some freshness, the underlying frameworks (agile, test-and-learn, customer journey mapping) are well-trodden. The critique of functional silos and the call for outcome-oriented rewards structures are valuable but not contrarian.

“I'm not the first person to preach customer centricity. But I think it's been a forgotten concept”

“This entire book is not about any one unique concept. It is more about all of these concepts that companies are putting into play”

Guest Caliber

16.4 / 20

Rusty Rahmer is a highly credible guest with direct C-suite and practitioner experience. He built analytics and digital capabilities at Vanguard, led transformation at GSK (a massive pharmaceutical company), and is now a CPO at a startup plus consultant. His experience spans the full lifecycle of these problems - building functions, scaling them, then realizing they weren't working as intended. This is someone who has actually lived the problems he's discussing, not a theory-peddler.

“Prior to that, he held analytics and marketing leadership roles at GSK and Vanguard”

“I've led a lot of transformations over the last 10 or so years”

Specificity & Evidence

12.8 / 20

While Rusty provides concrete examples from his experience (GSK pharma sales, Vanguard digital transformation, the $300 cost per sales call in pharma), he rarely grounds abstract concepts in hard numbers, timelines, or measurable outcomes. The pharma example about segmenting by problems vs. outcomes is useful but lacks metrics on actual uplift or ROI. Many claims remain illustrative rather than evidenced - 'test-and-learn adoption is slow,' 'nine-month delivery cycles,' 'significantly more expensive' - without quantification.

“When I think about sending a very expensive resource like a salesperson out, I can't send them out to very small customers where the customer opportunity is very small. I have to send them out to the place that they could have the potentially biggest impact on my bottom line. Costs something like $300 every knock on a doctor's door”

“When it takes nine months and nine months of cost to get an idea in the market, I can't do two of those”

Conversational Craft

15.2 / 20

The hosts ask generally good questions and there are moments of genuine curiosity (Val and Julie's probes about segmentation, how to get buy-in, the journey mapping critique). However, the conversation often drifts into friendly banter, extended analogies that go nowhere (potato chips, Plinko, waffle fries), and long monologues from Rusty where hosts simply nod along. There's limited pushback on vague claims, and most questions invite Rusty to expand rather than challenge or sharpen his thinking. The episode reads more as a comfortable conversation between friends than as investigative dialogue.

“You just stopped. And there's no answer to that. There's just silence.”

“Val, that's what you're talking about because later on in the year after we've had that discussion and everybody's going off into their silos”

Standout episodes

  • #303: Funnels Assume Progress. Barriers Recognize Reality.

    2026-08-04

    86
  • #306: Decision Support Has Been the Point All Along

    2026-09-15

    82
  • #300: Are Semantic Layers Really Necessary?

    2026-06-23

    68

Rank over time

4 periods tracked.

Episodes

12 scored on substance · 66 tracked in total.

  • #306: Decision Support Has Been the Point All Along

    2026-09-15 · 46 min

    82 / 100
  • #303: Funnels Assume Progress. Barriers Recognize Reality.

    2026-08-04 · 1h 4m

    86 / 100
  • #300: Are Semantic Layers Really Necessary?

    2026-06-23 · 58 min

    68 / 100
  • #299: AI Can (Help) Build the Dashboard. It Can't Build the Buy-In.

    2026-06-09 · 1h 1m

    66 / 100
  • #298: Listener Questions Answered Live from Marketing Analytics Summit!

    2026-05-26 · 52 min

    66 / 100
  • #297: Durable Wisdom in an Age of AI Slop

    2026-05-12 · 1h 6m

    66 / 100
  • #296: Avoiding Major Oopsies: Twyman's Law, Intuition, and Valuing Accuracy Over Precision

    2026-04-28 · 1h 4m

    75 / 100
  • #295: Research and Analytics: the Peanut Butter and Chocolate of Data?

    2026-04-14 · 1h 9m

    73 / 100
  • #294: Adapting an Analytics Team to an AI World

    2026-03-31 · 1h 8m

    87 / 100
  • #293: Tool Selection and the Unhelpfulness of Feature Comparisons

    2026-03-17 · 1h 6m

    88 / 100
  • #292: AI Without Adult Supervision with Aubrey Blanche

    2026-03-03 · 1h 4m

    86 / 100
  • #291: The Data Work that Lives in the Shadows

    2026-02-17 · 1h 3m

    83 / 100

Frequently asked

What is The Analytics Power Hour's substance score?
The Analytics Power Hour scores 73.6 out of 100 for substance and ranks #1046 on The B2B Podcast Index. That puts it ahead of 83% of the B2B podcasts we rank and #122 of 992 in Marketing. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is The Analytics Power Hour worth listening to?
Yes - The Analytics Power Hour outscores 83% of the B2B marketing podcasts and shows we rank on substance, so a marketing operator is likely to come away with something useful.
Who hosts The Analytics Power Hour?
The Analytics Power Hour is hosted by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer.
How often does The Analytics Power Hour publish?
The Analytics Power Hour publishes fortnightly, has 317 episodes, released its most recent episode on 2026-09-15.
Which The Analytics Power Hour episode should I start with?
Our highest-scoring recent episode is "#303: Funnels Assume Progress. Barriers Recognize Reality." (86/100) - a good place to start.

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Frequently discusses

Companies, products and tools that come up most across this show's episodes.

Prism · 6Canva · 4BigQuery · 4GA4 · 2Atlassian · 2Further · 2Snowflake · 2Ask Why · 2MotherDuckOpenAIVerimatrixFunkoSimetricsTableauMicrosoft ExcelMDXDAXNetworx

Guests who've appeared

Tim Wilson · 3Moe Kiss · 2Val Kroll · 2Zohar StrinkaRusty RahmerJacob MatsonYehonatan SchwarzmerMichele KissJenn KunzVal CrollMo KissJulie HoyerEric FriedmanStephanie ZamitJohn LovettJason PackerAubrey Blanche

Topics this show covers

The themes that come up most across this show's episodes.

GA4 · 3Prism by Ask Why · 2Inventory optimizationMeta-Problem Methodlead times and supply chain decisionstrade-offs in decision-makingmarketing attribution and proxiesdemand forecasting under uncertaintyperformative analyticsindustrial engineering optimizationstockout costsad spend allocationMartech stackData lakesGSKVanguardCustomer segmentation modelsStarizeAI

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