Podcast
Making Sense of Martech
Hosted by Monarch · EN
Unfiltered takes on the biggest shifts in marketing technology. We spotlight what matters, who's leading (or lagging), and what's next. In Martech, clarity is power — and we're here to deliver it.
10episodes
Episodes
Newest firstAll episodes
Hello {{firstname}}, Meet The Execution Gap Killing Personalization
Apr 2200:29:23Tap to summarize"The goal is not to personalize everything. You need to personalize what matters so that you can prioritize it internally in order to execute it well." - JacquelineScaling personalization in marketing technology remains one of the most persistent and painful challenges in the Martech landscape, and the data makes that brutally clear. Nearly 75% of buyers expect companies to understand how and when they want personalized interactions, yet 53% of companies admit they don't know when personalization is actually valuable. Only 12% of brands qualify as true leaders in this space. In the sixth and final episode of their Pain Points series, Jacqueline and Juan break down exactly why personalization keeps breaking down and what marketing technology leaders can do to fix it.The conversation moves through three core failure modes: personalization without context, the speed-versus-scale trade-off, and the operational and cultural bottlenecks that quietly kill even the best-intentioned programs. From a global financial institution waiting six months to unlock a logged-in experience, to year-in-review campaigns that landed with a thud, the episode is packed with real-world examples of what happens when strategy and execution fall out of sync. The antidote isn't doing more — it's doing less, better, with sharper insight and tighter alignment.Timestamps00:33 — Pain point #6 introduced: scaling personalization, execution speed, and global complexity02:09 — The data paradox: 75% of buyers demand personalization, but 53% of companies can't measure its value04:38 — Why only 12% of companies qualify as true personalization leaders and what's holding the rest back09:30 — The insight foundation: why every personalization program needs it14:50 — The six-month Adobe Target story: when tech implementation has no personalization strategy behind it20:21 — The execution problem hiding as a personalization problem and how centers of excellence can fix it26:45 — Four solutions: prioritize moments that matter, simplify, build for speed, and align teams on shared incentivesSponsorBrought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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AI Theater to Trojan Horse: Surviving the AI Adoption Pressure Cooker
Apr 1500:28:18Tap to summarize"The only thing propping up Martech budgets right now is AI." — JuanAI adoption pressure has become one of the defining pain points in marketing technology, and the numbers make the case starkly. In this Office Hours episode, Jacqueline and Juan dig into the $1.4 billion-to-$1.48-trillion explosion in AI spending from 2023 to 2025, the Gartner prediction that at least 30% of gen AI projects would be abandoned post-POC, and the uncomfortable reality driving it all: executives are demanding AI strategies from Martech teams that are still fighting foundational data and stack issues. This is the fifth in a six-part pain point series, and it may be the most urgent.The conversation covers three interlocking dynamics: the "virus" of AI hype spreading from boardrooms to vendor positioning, the peril-versus-promise tension forcing every executive to pick a side, and new enterprise research showing that companies without a dedicated AI budget face a 60% decrease in Martech investment versus a 65% increase for those who have one. They also walk through a role-play scenario, offering practical language for Martech leaders when asked, "What's your AI strategy?" and why pushing back is often the most valuable thing you can do.Timestamps00:41 — Pain point five: AI adoption pressure without clear value realization02:35 — The "I Love You" virus and the Y2K parallel — why AI hype rhymes with tech history06:07 — The 100x spending surge and why 30% of gen AI POCs are abandoned09:54 — AI theater in Martech: when every vendor renames itself an "agentic intelligence platform"13:10 — Peril vs. promise: LLMs as the first marketing channel that talks back, and AI as cloud cover for layoffs19:14 — The budget data shock: companies without an AI budget face a 60% decrease in Martech investment22:03 — The Trojan Horse strategy: using AI budget to fix your broken stack23:06 — Role-play: how to push back when an executive demands an "agentic AI strategy in 30 days"SponsorBrought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Bad Data, Dark Data, & Why Your North Star Keeps Moving
Apr 800:39:19Tap to summarize"We built an entire industry on the promise of precise measurement, and most of us don't actually trust the numbers." — JuanMarketing technology promised precision, but the reality is far messier. In practice, only 3% of CMOs can reliably demonstrate ROI on more than half their total marketing spend. In this Office Hours episode, Jacqueline and Juan unpack the measurement and attribution crisis plaguing enterprise marketing teams. From data fragmentation and siloed dashboards to leadership instability and organizational misalignment, the conversation covers why the ROI gap persists, and what to actually do about it.They go deeper than dashboards, introducing the concept of an "epistemological crisis" in analytics: when teams can't agree on what's true, the entire measurement stack collapses.But it’s not all doom and gloom. Jacqueline and Juan break down practical ways forward from fixing taxonomy and defining a measurement tree to embracing uncertainty and speaking the CFO’s language. Better decisions, not perfect data, should be the goal.Timestamps00:20 — Martech World Forum recap, data releases, and renewal horror stories04:34 — The uncomfortable truth about ROI and attribution gaps07:08 — The “epistemological crisis” and why marketers don’t trust data13:32 — Leadership churn, siloed teams, and broken measurement24:27 — Fixing the foundation: taxonomy, definitions, and data hygiene28:11 — Measurement trees, North Star metrics, and the case for measuring less33:57 — Speaking the CFO’s language: customer margin and commercial impactSponsorBrought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Inside Paramount: March Madness & Martech Chaos with Ian Reisman
Apr 100:45:27Tap to summarizeMartech and data strategy promise control, personalization, and scale, but in practice, they often deliver technical debt, fragile systems, and operational chaos. In this episode, Ian Reisman brings a hard-earned perspective from 17 years inside Paramount, where he managed billions of emails across in-house platforms, enterprise tools, and high-stakes moments like March Madness war rooms that stretched well past midnight.From 3 AM warehouse refreshes to a Salesforce Marketing Cloud migration, this conversation breaks down the build vs. buy dilemma from both sides. Ian explains why no vendor demo survives real data, how DIY martech quietly accumulates risk, and why most organizations underestimate the operational burden of scaling personalization.The discussion goes deeper into platform trade-offs: why Braze raises the floor but lowers the ceiling, how Adobe CDP failed to scale in practice, and why Salesforce’s most powerful features are often the least marketed. Along the way, Ian calls out the hidden costs of consulting agencies, the compounding impact of layoffs on martech operations, and why AI in marketing is still just predictive intelligence — not magic.Timestamps05:20 — Ian's very first Martech platform and early in-house systems13:40 — The DIY mindset: great in theory, brutal in practice 20:40 — March Madness war rooms and real-world stress testing24:14 — Braze vs. Salesforce Marketing Cloud: raising the floor, lowering the ceiling 27:07 — Three years of Adobe CDP and nothing to show for it31:03 — The consulting agency trap and how to keep them on rails 37:47 — Martech fragility and leadership blind spots41:33 — When institutional knowledge disappears overnight42:04 — AI in Martech: predictive intelligence, not magicSponsorBrought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Cut Your Marketing Budget by 50% with Calm's Jeff Lee
Mar 2500:55:09Tap to summarizeJeff Lee doesn't just build marketing campaigns. He engineers lifecycle systems that quietly power billions of customer interactions. As the lifecycle marketing technical lead at Calm, Jeff runs a team of four, shipping 240+ distinct email campaigns a year and moving data across Databricks, Iterable, and Amplitude with precision most teams can't match. In this conversation, he makes the case for marketing engineering as a distinct discipline, sitting between data engineering, product, and marketing to solve problems no one else owns. We dig into the "Sorting Hat" automation that prioritizes message delivery at scale, why he'd never build an ESP in-house again, the downstream cost of a three-line code bug that tanked opt-ins by 60%, and why attribution, personalization, and end-to-end lifecycle orchestration depend on engineers who think like marketers and marketers who think like systems architects.Timestamps05:12 — The three-line code bug that killed 60% of email opt-ins overnight 22:03 — Inside the "Sorting Hat": How Calm prioritizes lifecycle messaging without global caps 31:47 — Why cutting your martech budget by 50% should start with list hygiene, not tools 37:14 — Jeff's dream stack and why CDPs are overrated 46:16 — Where AI breaks in lifecycle marketing 52:26 — Making "marketing engineer" a real job titleSponsorBrought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Personalization, Profit & the CFO: Scaling Martech Engines with Eloise Gillespie
Mar 1800:51:58Tap to summarize"Personalization is finding that balance — you can give customers everything they want, but it doesn't make the business happy. True personalization is finding the perfect balance." – Eloise Personalization only works when the infrastructure beneath it is built for business reality, not hype.In this episode, Jacqueline sits down with Eloise Gillespie, Associate Director of Personalization and Martech at Optus, to unpack what it actually takes to make AI and personalization deliver at scale. Eloise brings hard-won experience from telecom, wagering, and hospitality, including managing a nine-figure bet budget and building customer-level optimization engines that won CFO approval by anchoring every decision in margin, ROI, and commercial viability.They cover the infrastructure work that must happen before AI can deliver value, why treating data as a product changes everything, and how to make personalization credible to finance teams. If you're done with quick fixes, this one is for you.Timestamps 01:19 — The biggest bet: betting on yourself04:14 — How Salesforce Marketing Cloud changed everything08:45 — Why LTV is dead (or at least overrated) and what metric actually matters18:05 — Leading with commercial impact: a $XXX,XXX,XXX budget gap to win CFO trust 26:08 — Proving personalization to the CFO: Leading with dollars, not fluff38:22 — System of record vs. system of context: What CDPs actually do45:38 — Building an incentive optimization engine across bet types, margins, and interaction contexts 52:07 — AI-driven personalization: What's real today vs. what's still on the horizonSponsorBrought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Integration Complexity, $215B Losses, & Why Your Stack Still Doesn't Talk
Mar 1100:38:06Tap to summarize"If you don't understand your internal customer, you're failing both the internal customer and the business." JacquelineJacqueline and Juan tackle Martech's second-biggest pain point: integration complexity, data silos, and the operational fragmentation that's threatening to cost the industry $215 billion by 2027. Drawing on McKinsey's latest research and exclusive insights from enterprise leaders preparing for Martech World Forum Melbourne, the hosts dissect why marketing technology stacks are still failing to connect — and what you can do about it. From the composability-versus-suite debate to the cultural dynamics between marketing and IT, this episode explores how Martech professionals can move from reactive duct-taping to proactive, federated infrastructure. Whether you're navigating AI decisioning demands or simply trying to get your CDP and engagement platforms to speak the same language, this conversation delivers practical, no-BS guidance on governance, data gravity, and working forward instead of backward.The episode also previews the newly launched Enterprise Martech Outlook (EMO) research project, a major initiative mapping the evolving enterprise Martech landscape.Timestamps 00:00 — Enterprise Martech Outlook (EMO) research launch and Melbourne conference preview05:05 — The $215 billion black hole: McKinsey's warning on Martech losses09:50 — Three root causes of integration complexity: language, legacy, and IT dependency18:30 — Interoperability planning and working forwards, not backwards, and misaligned incentives28:00 — Data gravity and governance: Identifying your center of gravity and mapping data flows35:30 — Best-of-breed and the monolith vendor problemSponsor Brought to you by Hightouch, the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Consulting Dependency Isn't a Bug - It's the Business Model with Satya Upadhyaya
Mar 401:02:57Tap to summarize"Martech isn't complex - we've made it complex." - Satya In this episode, Jacqueline sits down with Satya Upadhyaya to unpack one of enterprise Martech's most expensive problems: the forever consulting engagement. Drawing on 15+ years inside banks and large-scale transformations, Satya explains why capability transfer fails, how vague scorecards fuel dependency, and why 70% of digital transformations miss the mark.The conversation challenges analyst-led buying, Gartner-driven procurement, and lift-and-shift thinking. Instead, Satya argues for practitioner-led architecture, simpler operating models, and building internal muscle before buying more tech.Key insights Forever engagements thrive when companies measure spend, not capability gained. Analyst frameworks optimize for procurement safety, not operational fit. Real Martech maturity comes from governance, marketing ops, and knowing what problem you're actually solving.Timestamps 05:40 The three phases of martech transformation11:45 When help becomes dependency16:30 Procurement safety vs operational fit22:55 Lift-and-shift isn't transformation30:35 The chief marketing technologist identity crisis46:20 Strategy is easy. Execution is the real test59:30 Audit first. Build muscle. Then buy tech.Sponsor Brought to you by Hightouch - the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at hightouch.com/msom. Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Beyond Just Do It with Nike's Linda Cereda
Feb 2500:54:22Tap to summarize"At Nike, we learned the hard way — tech wasn't the constraint. The operating model was." – LindaMartech leaders love to talk about AI in marketing, next-best-action, personalization at scale, and the promise of a composable CDP, but most teams still struggle to connect data strategy to an operating model that can actually ship. In this episode, Jacqueline sits down with Linda Cereda, former Global VP of Marketing Data at Nike and the first GM of the SNKRS app, to unpack how one of the world's most iconic brands built a marketing data engine that didn't collapse under its own ambition.Linda shares her journey from digitizing scarcity-driven product drops on SNKRS to overseeing global next-best-action models and enterprise measurement systems. She breaks down the real work behind decisioning: defining the actions worth nudging, ranking them by LTV, aligning cross-functional teams around measurable business goals, and building model families that connect audience, timing, channel, and content — without turning the organization into a science fair.We also explore why so many companies are "stuck in 2017" despite owning expensive tools, and why buying a vendor contract feels like progress but rarely is. From reducing forecasting error by 44% using zero-party data to rethinking seasonal planning in favor of contextual, real-time nudges, Linda makes one thing clear: modern AI tooling is useless if your workflows, governance, and measurement rhythm aren't built to support it.Timestamps01:02 — From Men in Black with Raybans to Nike 08:00 — Why global brands struggle to update their "operating system" and the trap of tool-led progress 16:32 — Building the SNKRS app: Solving scarcity, hype, and the #IAmUpset consumer crisis 20:44 — Using machine learning and zero-party data to slash forecasting errors and improve fairness 29:20 — The reality of Nike's $XXm Adobe deal and the risks of vendor lock-in 40:02 — The future: Composable CDPs, AI decisioning engines, and synthetic personas 48:37 — Automation versus transformation: Why you shouldn't buy a Ferrari without a driver or fuelSponsorBrought to you by Hightouch — the leading composable CDP and decisioning platform trusted by brands like Domino's, Chime, and Aritzia. 90% of customers have a real use case live within their first week, delivering world-class personalization at scale. Learn more at www.hightouch.com/msom.Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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Dirty Data, AI Everywhere, & ROI Nowhere
Feb 1100:52:37Tap to summarizeIn this Office Hours episode, Jacqueline and Juan unpack why marketing technology feels simultaneously stable and deeply uncertain. Q4 earnings show revenue holding steady, yet the market is re-pricing everything around one question: when does AI translate into real revenue? As AI roadmaps stretch into long-term infrastructure bets, pressure to monetize now is exposing the gap between AI adoption and measurable ROI.They also examine the identity crisis around "platform" positioning and customer data platforms (CDPs), where many vendors claim ecosystem status but operate as point solutions. Increasingly, leverage belongs to companies that own high-quality customer data, not just strong product narratives.From there, they tackle enterprise marketing's biggest challenge: data fragmentation. With few organizations achieving a true Customer 360 view, they break down why the problem persists and what it takes to build disciplined, commercially grounded data practices instead of buying another dream.Timestamps 03:49 — The "mirage" quarter: revenue stability vs strategic risk05:38 — AI doesn't always equal value, and monetization is the bottleneck06:33 — Category identity crisis: "platform" branding vs point solutions10:20 — Gartner's CDP Magic Quadrant: hype, churn, and composability confusion17:56 — The cost of data fragmentation25:43 — The "Jenga tower" of org complexity and how stacks collapse45:54 — The playbook: define customer data ideals and don't let vendors driveSponsor Brought to you by Hightouch — Went all-in on a big marketing suite but still struggling to get value? You're not alone. Our sponsor, Hightouch, spoke with 50+ enterprise teams and found 79% are frustrated by high costs, slow innovation, and rising complexity, often needing specialized teams just to keep things running. They'll share the full findings in a live webinar on February 12, plus what they're seeing from organizations updating their Martech stacks. Get the report and register!Connect & SubscribeSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.
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