The MarTech Matrix

The MarTech Matrix Podcast is dedicated to helping brands and agencies discover technology without the hassles and time commitment of lengthy sales calls. There are over 17k MarTech solution on the market, in dozens of categories. Finding the right, best solution can take months from the beginning of the search until selection. This podcast, it’s content, and our platform are designed to help expedite the entire process because time is money and neither is more precious than the other.

The MarTech Matrix is a business podcast hosted by Sean Simon, with 31 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Sean Simon hosts The MarTech Matrix, a business show with 31 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #52

  Why Your Marketing Attribution Numbers Never Agree

  Aug 15, 202651 min

  Last-click says one thing. Your CFO doesn't believe it. Your incrementality test says something else entirely. None of those numbers are wrong — they're just not measuring the same thing. In this episode of Inside the Blurb, I sit down with Madan Bharadwaj, founder and CEO of M-Squared. Madan has built four companies inside the attribution and measurement space, including Visual IQ (one of the first multi-touch attribution platforms) and Measured (the industry's first pure-play incrementality company). We cover: -Why nearly everything brands use to measure marketing is "correlational" and carries built-in bias . -Why incrementality testing is deceptively hard to run well -Triangulation — turning conflicting attribution, MMM, and incrementality numbers into one multiplier and one decision -A real story about an AI model recommending a brand cut $25M in Amazon ad spend, and why it was wrong -Why causal data has to be built, not mined -Who actually needs this level of measurement (and who doesn't) Read the full breakdown + key takeaways: www.themartechatrix.com Check out M-Squared on Blurbs: https://www.trustblurbs.com TIMESTAMPS 00:00 — Introduction: welcome to the Matrix 01:00 — Madan's origin story: from computer science to a $10M/month PPC bidder 07:01 — 2005 vs. 2026: what's changed in measurement, and what hasn't 10:55 — How GDPR, CCPA, and walled gardens shrank trackable behavior 13:07 — Why brands still lean on last-click even though it's incomplete 16:10 — Why incrementality testing sounds simple and is actually hard 18:30 — Designing a "feasible test" before you run it 20:07 — Do marketers use data to confirm what they already believe? 24:42 — Why the best marketers combine data with business instinct 26:45 — Causal vs. correlational, defined 30:08 — What makes M-Squared different 33:51 — Triangulation, explained 38:38 — The causal insights program 41:38 — Who actually needs advanced measurement 42:58 — Why AI can't manufacture causal data 44:07 — The $25M Amazon ad spend story 46:56 — Why domain expertise still matters 47:10 — Squared Collective: next workshop September 10, Boston 49:10 — Closing thoughts ABOUT INSIDE THE BLURB Inside the Blurb is a podcast by The MarTech Matrix where Sean Simon interviews founders and leaders from the vendor side of marketing technology. Website: https://www.themartechmatrix.com Blurbs: https://www.trustblurbs.com LinkedIn: https://www.linkedin.com/in/madanbharadwaj/

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  Episode #51

  Why Ecommerce Re-platforming Fails

  Jul 27, 202636 min

  If you've been part of an ecommerce replatforming project, you already know the feeling. Six months of your life disappear. Your team can't think about anything else. And at the end of it, you're not even sure the new platform is meaningfully better than the one you left. Steve Deller has watched this story play out for 25 years. As CEO of Virid (https://www.virid.com) — an ecommerce platform and agency that has been building and running enterprise retail sites since the late 1990s — he's seen what works, what fails, and why brands keep making the same mistakes when they replatform. In this episode of Inside the Blurb, Steve breaks down unified commerce, explains why integration debt is the real enemy, and shares the questions every brand should be asking — but usually isn't — before they sign with a new platform vendor. In this episode, we get into: - What unified commerce actually means — and why it's different from headless and composable - Why 60-70% of Virid's clients came from failed implementations on other platforms - How Journeys (the shoe retailer) manages real-time inventory across hundreds of stores every 5 minutes - The 6 questions every brand should ask before signing with a new ecommerce platform - What to do before you even start shopping for a new platform - How AI is reshaping ecommerce — and why Steve calls AI shopping "just another channel" Whether you're evaluating platforms, knee-deep in a replatforming project, or trying to understand what unified commerce means in practice, this conversation will help. TIMESTAMPS 00:00 — Introduction: Steve Deller and Virid's origin story 01:13 — From monolithic to headless to composable — the ecommerce evolution 01:33 — What unified commerce actually means 03:11 — Why ecommerce replatforming feels like a 6-month nightmare 03:49 — The data migration problem explained 05:35 — Virid vs. Shopify — knowing which fits your business 07:32 — Real-world example: Journeys and real-time omnichannel inventory 08:53 — Who is Virid's ideal client? 10:34 — The agency + platform model explained 12:21 — What the team looks like during a migration 13:50 — The "one check" model and why it works 15:18 — How AI is already integrated into Virid's platform 17:28 — The future of SaaS: will AI replace admin dashboards? 19:52 — The compute cost and data center conversation 21:14 — What post-launch partnership looks like (weekly calls, QBRs, annual visits) 23:22 — AI shopping: will consumers buy through Claude and ChatGPT? 26:27 — What triggers a brand to start looking for a new platform 30:00 — The 6 questions brands forget to ask platform vendors 33:31 — What to do before you start shopping for a new platform 35:27 — What's ahead for Virid in the next 12-18 months 37:17 — Final thoughts and wrap-up

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  Episode #50

  Your Marketing Data is Lying to You!

  Jul 27, 202643 min

  The problem isn't that your marketing isn't working. The problem is you can't prove it. Two years before Pranav Piyush — CEO of Paramark — ever bought anything from True Classic, he was seeing their ads everywhere. YouTube. Instagram. The mall. He laughed at their videos, moved on, and kept shopping at Uniqlo. Then Uniqlo lost him as a customer, and True Classic was the first brand that came to mind. No last-click attribution model captured that. No multi-touch dashboard told True Classic that their patience had paid off. The click that triggered the purchase looked like it came from an Instagram ad — but the real conversion happened over two years of brand building. "If you're the growth marketing manager at True Classic," Pranav told us on Inside the Blurb, "you're optimizing to the wrong signal." That's the problem Paramark is built to solve. What you'll learn: → The difference between marketing "spend" and marketing "investment" — and why it matters → What incrementality testing actually is (it's not just holdout tests) → How Marketing Mix Modeling (MMM) works alongside experimentation → Why a great dashboard is only 20% of the measurement problem → What AI can and can't do for measurement right now → What to look for when evaluating measurement vendors → Where measurement and media buying are headed in the next 2 years --- Guest: Pranav Piyush, CEO & Co-Founder of Paramark Paramark on Blurbs: https://trustblurbs.com Paramark website: https://paramark.com --- TIMESTAMPS 0:00 — Introduction: Who is Pranav Piyush? 0:41 — Paramark's Blurb and the Growth Advisory Services differentiator 1:58 — Why Growth Advisory is the 80% that most vendors skip 4:33 — Marketing spend vs. marketing investment — the mindset shift 5:48 — How Pranav's career at PayPal, Dropbox, and Magento led to Paramark 9:33 — Why marketers can't make decisions in a vacuum 10:29 — The True Classic story: 2 years of ads, no click, then loyalty 12:56 — The CeraVe / Michael Cera Super Bowl example 14:17 — Did multi-touch attribution ever actually work? 16:17 — How Paramark would explain measurement to a CMO at CeraVe 19:13 — How AI is changing consumer behavior and ad measurement 21:20 — Will AI replace the math in MMM and incrementality testing? 23:50 — Live walkthrough of Paramark's dashboard and experimentation view 31:10 — Why garbage data = garbage insights (and how to fix it) 33:36 — How to design and analyze a geo-pulsed TV incrementality test 36:13 — The virtuous cycle: experiment → MMM → scenario planning → repeat 37:39 — What good data architecture looks like (with a Shopify example) 38:33 — How Pranav would evaluate vendors if he were a buyer today 39:17 — The 3 things Pranav doesn't love about buying MarTech 41:48 — How Blurbs is trying to fix vendor-buyer communication 43:52 — The future: measurement + media buying convergence 45:12 — Is autonomous media buying coming in 2 years? 46:28 — Why humans still need to be in the loop 47:00 — What Pranav wishes he knew at the start of his career

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  Episode #49

  Critical AI Skills for Marketers

  Jul 16, 202641 min

  Your marketing team is investing in technology — but the ROI isn't showing up. Tools go underused. Stacks overlap. Every new rollout feels like dragging people through mud. That's not a vendor problem. It's a structure problem. Jean Guan spent 15 years at CDW building the company's MarTech enablement team from the ground up — from a server sitting under someone's desk to a full governance function connecting marketing strategy with enterprise IT infrastructure at scale. In this episode of The Human Side of MarTech, Jean shares: -How CDW built its MarTech team from zero (and why most large enterprises get this wrong) -The enterprise vendor selection process — IT, legal, procurement, finance, AND security in the same room -Why most MarTech implementations fail (hint: it's not the technology) -How CDW used a Center of Excellence to drive AI adoption across the organization -The 3 pillars every MarTech professional needs to master: Technology, Process, and People -What agentic AI means for the customer experience — and the governance challenges ahead -Rapid fire: the most overused MarTech buzzword, the biggest selection mistake, and the trend to watch If you're managing a marketing tech stack, evaluating vendors, or leading your team through AI transformation — this episode is required listening. ───────────────────────────── TIMESTAMPS ───────────────────────────── 00:00 — Introduction: Jean Guan's background and MarTech journey 01:00 — University of Wisconsin-Madison and getting into consulting 03:00 — Joining CDW: the server under the desk story 04:00 — Why enterprises need a dedicated MarTech function 06:00 — How enterprise MarTech vendor selection actually works 08:30 — The role of procurement, legal, and security in tool selection 10:10 — Governance and driving tool adoption inside large organizations 13:00 — Change management: why it's emotional, not just a project plan 17:00 — How CDW thinks about AI and the customer experience 20:00 — AI adoption internally: CDW's Center of Excellence approach 23:00 — MarTech stack overlap and the CDP problem 27:00 — Skills every MarTech professional needs to build 31:00 — Career advice: which path into MarTech is right for you? 35:00 — Rapid fire: buzzwords, mistakes, and trends 38:00 — Why AI agents and healthcare are Jean's ones to watch 39:00 — Closing thoughts

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  Episode #48

  Why Your Retargeting Partner is Only Reaching 15% of Your Shoppers

  Jul 12, 202654 min

  Most ecommerce brands think their retargeting is handled. They're running Criteo or Performance Max, hitting their ROAS targets, and moving on. Here's the problem: their platform is only reaching 15–20% of the visitors who bounced from their site. The other 80–85% never see their brand again. In this episode of Inside the Blurb, I sit down with Jason Blom — VP of Strategic Opportunities at RTB House and former Criteo sales leader — to break down what deep learning retargeting actually does differently, and whether adding a second retargeting partner is worth it. We cover: ✅ Why no single retargeting platform can reach more than 15–20% of your eligible audience ✅ Deep learning vs. machine learning — what the difference actually means in practice ✅ Why 60%+ of RTB House-driven purchases happen on products shoppers never viewed or carted ✅ The exact framework for setting up a clean incrementality test ✅ What RTB House collects that standard retargeters don't (beyond the 5 standard pixels) ✅ How RTB House's creative philosophy differs from the ugly retargeting ads you're used to ✅ The question most brands forget to ask when evaluating a lower-funnel partner This isn't a pitch — it's a candid conversation between two former Criteo colleagues who know this space inside and out. Read the full breakdown + key takeaways: [INSERT POST URL] Check out RTB House on Blurbs: https://www.trustblurbs.com --- TIMESTAMPS 00:00 — Introduction: How Jason and Sean know each other (Criteo origins) 01:14 — Why Jason spent 7 years evaluating RTB House before joining 04:11 — The moment Jason knew RTB House technology was real 05:46 — What it's like selling against your former employer 08:45 — The Shopkick detour and what retail roots taught Jason about retargeting 13:17 — Deep learning vs. machine learning — what it actually means 16:08 — Why standard DSPs can't replicate deep learning performance 18:11 — How RTB House bids differently than Criteo and Google 22:16 — Where AI is taking performance marketing next 25:41 — The 60% stat: why most purchases come from never-viewed products 30:10 — Consumer behavior online vs. in-store (and why it matters for retargeting) 31:45 — Making the case for running two retargeting partners 35:28 — How to set up a clean incrementality test 39:15 — What it takes to get started with RTB House 41:17 — The first-party data advantage: beyond the 5 standard pixels 43:29 — How RTB House clients eventually consolidate their spend 46:21 — RTB House's creative philosophy and why retargeting ads can look better 48:52 — Rapid fire: most common objection, best question to ask, advice to younger self 52:33 — Closing thoughts --- ABOUT INSIDE THE BLURB Inside the Blurb is a podcast by The MarTech Matrix where Sean Simon interviews founders and leaders from the vendor side of marketing technology. No buzzwords. No fluff. Just honest conversations about what these platforms actually do and how they do it.

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