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#1199The Data T71.0 / 100Get badge
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The Data T

Hosted by Armon Petrossian and Satish Jayanthi

Previously known as Coffee with Coalesce, The Data T is a monthly podcast hosted by Armon Petrossian and Satish Jayanthi, co-founders of Coalesce, the data transformation company.

33 episodes · publishes monthly · latest 2026-04-21 · ~50 min/episode

Rank

#1199

Substance

71.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

AI & Data rank

#123 of 495

Best B2B AI & Data Podcasts →

Across the index

#1199 of 6182

Substance

Top 19%

outscores 81% of the index

Why it scores where it does

The Data T ranks #1199 on The B2B Podcast Index with a substance score of 71.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and insight density. Bill Magnuson is a genuine zero-to-IPO operator - co-founder, former CTO, and CEO of a publicly traded marketing platform - and Spencer Burke is a 14-year practitioner who built the data and growth function from scratch; both speak from real operational experience rather than thought-leadership abstraction, though neither delivers the depth their résumés would suggest.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

14.0 / 20

The episode contains a handful of genuine operational insights - the acquisition/retention spend mismatch, the 'durable change' framing, and the 80/20 data-vs-AI skill split - but they are buried in long, meandering monologues and padded with startup origin narrative and broad AI platitudes that a sophisticated B2B operator would already know.

“there was a mismatch in the amount of money that was being spent to acquire customers and how little attention was being paid at retaining them”

“Braze today still has less than 3,000 customers. So like the fact that there were 600,000 apps in the App Store in 2015, totally irrelevant”

Originality

13.0 / 20

The 'durable change' vs. chasing the land-grab argument is a genuinely useful and somewhat contrarian framing for AI-era builders, and 'interactivity' as a more honest substitute for 'real-time' is a small but sharp coinage; however, the bulk of the AI discussion recycles standard composability and agentic-future talking points circulating everywhere in 2024.

“you really need to think carefully around like what the composed or compounding effects as well as the second order effects of those of all that change is going to be to find the change that will be durable”

“real time is kind of so bastardized, um, in the uh, in the space. But that concept of interactivity still feels very visceral”

Guest Caliber

19.0 / 20

Bill Magnuson is a genuine zero-to-IPO operator - co-founder, former CTO, and CEO of a publicly traded marketing platform - and Spencer Burke is a 14-year practitioner who built the data and growth function from scratch; both speak from real operational experience rather than thought-leadership abstraction, though neither delivers the depth their résumés would suggest.

“We founded Braze in July of 2011. Uh, I was the CTO at the beginning and uh, co founder, took over the CEO role in 2017”

“I've been at braze over 14 years. So I was lucky enough to join Bill a couple of months after he founded”

Specificity & Evidence

14.0 / 20

A small number of concrete data points appear - sub-3,000 customers, retail being just over 20% of revenue, the September Agent Console launch, and the RSG Group example - but the CEO explicitly flags his app-store figures as invented, and the majority of the conversation operates at a vague, conceptual level without named metrics, timelines, or dollar figures.

“Braze today still has less than 3,000 customers”

“retail and consumer goods is our largest vertical as it is for almost all marketing technology companies. But the other it's actually a little bit over 20% of our business”

Conversational Craft

11.0 / 20

The hosts ask standard founder-journey questions with no follow-up pressure, never challenge a claim, and regularly interject with agreement or compliments; guests routinely deliver 400-word monologues without interruption, and the episode functions more as a promotional brand conversation than a substantive interview.

“Yeah, Yeah, I got great advice”

“Yeah, it's funny because I can't imagine, I mean we've got a very technical audience that listens into this podcast, but I feel like people have, a lot of people have no idea what goes on behind the scenes”

Standout episodes

  • Durable Growth in the Age of AI: Data & Marketing Lessons From Scaling Braze

    2026-04-21

    71

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 33 tracked in total.

  • Durable Growth in the Age of AI: Data & Marketing Lessons From Scaling Braze

    2026-04-21 · 48 min

    71 / 100

Frequently asked

What is The Data T's substance score?
The Data T scores 71.0 out of 100 for substance and ranks #1199 on The B2B Podcast Index. That puts it ahead of 81% of the B2B podcasts we rank and #123 of 495 in AI & Data. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is The Data T worth listening to?
Yes - The Data T outscores 81% of the B2B ai & data podcasts and shows we rank on substance, so a ai & data operator is likely to come away with something useful.
Who hosts The Data T?
The Data T is hosted by Armon Petrossian and Satish Jayanthi.
How often does The Data T publish?
The Data T publishes monthly, has 33 episodes, released its most recent episode on 2026-04-21.
Which The Data T episode should I start with?
Our highest-scoring recent episode is "Durable Growth in the Age of AI: Data & Marketing Lessons From Scaling Braze" (71/100) - a good place to start.

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Guests who've appeared

Bill MagnusonSpencer Burke

Topics this show covers

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

BrazeFirst-party data strategyData science and machine learningMobile-first customer engagementCloud data warehousing (Redshift, Kafka, Hadoop)Customer retention optimizationCanvas (visual programming language)Real-time data interactivityAI disruption and compounding effectsVenture capital pattern matching

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