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.
17episodes
Episodes
Newest firstAll episodes
AI Was A Waste of Time, Until It Wasn't with Megan Boshuyzen
1w ago00:47:36Tap to summarize"You should be layering AI on top of what you're already doing to make you more efficient. It should not be doing the bulk of the work. It should just be making you faster." — MeganEmail development has long been the graveyard of good design intentions where beautiful mockups meet the harsh reality of Outlook's rendering engine, dark mode disasters, and code that would make any web developer weep. But while most of the industry gets swept up in AI hype promising magical solutions, actual email developers are quietly discovering what works, what doesn't, and what's dangerously oversold.Megan Boshuyzen, development lead at Inbox Army, brings a rare combination of technical depth and real-world perspective to the AI conversation. A graphic designer turned email developer, she's witnessed the evolution from Vertical Response in 2010 to today's complex email design systems. Her journey through MailGun, Email on Acid, and now agency-side development gives her insights few possess about where AI genuinely helps and where it spectacularly fails.This is not a hype episode. It's a field report from someone doing the work and telling the truth about it.Timestamps04:35 — AI Saved a Complex Liquid Build: When a client prohibited storing product data in a CRM, Megan used AI to work through intensive if-else Liquid logic, dynamically matching product data loaded into the email with conditional display in the ESP.06:10 — ESPs Must Own Accessibility: Email service providers and drag-and-drop editors bear the primary responsibility for making their code accessible, not individual marketers who can't edit it — and many of the required fixes are not significant engineering lifts.13:45 — The Photographer Analogy for Email Developers: AI democratizes email creation the way smartphones democratized photography, but just as professionals still get hired for what matters, skilled email developers will remain essential at the enterprise level.19:07 — Building an Email Design System at an Agency: Megan breaks down the real complexity of building a multi-client email design system at Inbox Army, why e-com layouts demand more than she anticipated, and how Claude Code is helping her manage the JavaScript as it scales.26:21 — From "AI Is Useless" to Cautiously Bought In: Megan traces her own two-year shift from dismissing AI entirely to finding genuine, specific use cases and explains why she still refuses to call it a magic bullet.36:25 — AI Creates Mediocre Code: AI accelerates the creation of mediocre email code through a lowest-common-denominator approach, similar to how engineers encounter inefficient AI-generated code solutions.44:35 — Build the Foundation Before AI: Developers who master coding fundamentals first and then layer AI on top will outlast those who build AI-dependent workflows because when something breaks, you need a foundation you actually understand.46:55 — Quietly Terrified of Code: A large, silent portion of the email and martech industry is anxious about AI and code. This episode is designed to help them feel grounded and less alone, not more panicked.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.
Transcribe →
Ticket Taker vs. Problem Solver: Be Irreplaceable with Darrell Alfonso
2w ago00:54:52Tap to summarize"I really think that most companies' problem isn't efficiency, oftentimes. It's just like a lack of direction, strategy, or, you know, bad leadership practices." - DarrellThis spring, commencement speakers were booed off the stage for telling graduates that AI is their future. Meanwhile, marketing ops teams are getting leaner, and job listings are down. The people who built careers on technical fluency are wondering if it's still enough.Darrell Alfonso has lived on both sides of this. He led marketing ops at AWS and Indeed, wrote the book on the field (The Martech Handbook), and built a following with his newsletter, The Marketing Operations Leader, then got laid off himself last year.In this episode, Darrell and Jacqueline pressure-test the AI-replacement narrative: what's actually driving layoffs, where AI can't replace human judgment, and why the cost-saving pitch is shakier than executives want to admit.This is the hallway conversation the industry keeps having after the conference session ends.Timestamps04:34 — AI Won't Fix Bad Leadership: Most AI use cases are internal efficiency plays. The real problem is usually a lack of direction or poor leadership, and AI can't fix that.11:50 — Elevating the Ops Professional: AI disruption changes the climate, not the mission. Great ops professionals are problem solvers first.17:03 — Layoffs Are the New Normal: Layoffs no longer signal a red flag on a resume. Hiring managers have had to catch up to that reality.23:45 — The Future of Execution Roles: AI is pushing execution-layer work up the abstraction ladder toward strategy. Ticket-takers are already being displaced.28:36 — AI Is Only Cheaper 23% of the Time: MIT found AI is only cheaper than humans for 23% of tasks. Uber's CTO burned through the entire 2026 AI budget in four months on tokens alone, and the cost story is messier than the pitch.38:42 — The Personal Cost of a Layoff: Darrell on what the layoff cost him emotionally, and how reframing it as a signal instead of a failure changed his trajectory.43:45 — Ops Is Creative Work: Ops is system design and problem-solving from scratch. That reframe changes how ops professionals should present themselves.51:28 — Golden Age or Tipping Point: Darrell's answer: tipping point. The professionals who understand both the tech and the strategy will define what comes next.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.
Transcribe →
Martech Tools Should Serve, Not Dictate with Bree Graham
3w ago00:58:05Tap to summarizeMost marketing teams have more tools than strategy, and now they're layering AI on top of that mess. When you scale fast in the wrong direction, fixing it requires more than just throwing AI at your existing martech sprawl. It demands architectural thinking, data governance discipline, and genuine cross-functional partnerships that most organizations simply haven't built yet.In this episode, Jacqueline Freedman sits down with Bree Graham, who spent seven years leading growth and marketing platform transformation at Afterpay, designing the composable infrastructure that powers engagement and retention across a multi-brand global system. Bree scaled Afterpay from siloed, manual execution to hundreds of millions of hyper-personalized customer communications per month.From AI decisioning that broke every hypothesis her team had to why procurement might be your most underrated strategic partner, Bree makes a compelling case that the stack mirrors the org chart, and until you fix the ownership problem underneath, no tool can save you. This episode is equal parts architecture lesson and leadership playbook.Timestamps05:12 — AI Should Be Invisible: AI shouldn't be a buzzword in every conversation; it should be embedded deeply enough in the product that you never need to mention it. The real test is whether the functionality speaks for itself.11:00 — The Best Martech Leaders Were Marketers First: The sharpest martech leaders have lived on the marketing side first. They relate to the full customer journey and bridge tech architecture with real campaign needs.20:52 — AI Found What We Missed: When Bree's team fed lifecycle data into an AI decisioning model layered on their warehouse, the outputs broke from their original hypotheses because the model had context their CRM tools never did.27:43 — Who Owns the Connective Tissue? The hardest unsolved question in AI-augmented martech isn't which tools to buy. When it's unclear who's accountable for making sure they work together, integration silos form by default.39:12 — Data Governance Belongs Everywhere: Governance-first thinking shouldn't be reserved for regulated industries. Any brand that collects customer data has a privilege and a commitment to protect it, whether you’re in finance or fast food.46:43 — The Power of Saying No to Vendors: A healthy vendor relationship requires the ability to say no.50:52 — It's Not About the Tool: A tool can be excellent and still wrong for the job if it doesn't serve the experience you're building. The question is never which tool is best; it's what system best serves your customer.53:29 — Tools Should Serve You: For years, vendors dictated how teams used their tools. Composable architecture flips that marketers now make tools conform to their business, not the other way around.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.
Transcribe →
It's Just Marketing Ops With Better PR with Sara McNamara
4w ago01:05:53Tap to summarize"SaaS companies are systematically undervaluing marketing ops professionals by rebranding their work with trendy titles while taking their contributions for granted until everything breaks.” — SaraSara McNamara has spent her career building go-to-market systems at companies like Slack, Salesforce, and Cloudera, the unglamorous, essential work that makes revenue teams actually function. As the revenue operations and go-to-market lead at Vector, she has a thesis about where ops is headed that challenges how many see their own roles. While AI rewires what ops teams actually do, she argues that strategic operations practitioners aren't becoming obsolete, they're becoming more essential than ever before.In this wide-ranging conversation, Sara unpacks the marketing ops erasure problem plaguing SaaS companies, explains why attribution will never be a perfect science, and shares specific AI workflows that are actually working in her day-to-day operations. She makes the case that ops professionals need to upskill now or risk having engineers and upskilled marketers fill the strategic vacuum they leave behind.Timestamps03:45 — Building Ops at Vector: How Sara approaches go-to-market operations at a Series B company and the unique challenges of scaling ops infrastructure07:20 — Career Journey Through Big Tech: From Slack to Salesforce to Cloudera, the lessons learned building revenue systems at enterprise scale10:15 — Marketing Ops Erasure Problem: SaaS companies are systematically undervaluing marketing ops professionals by rebranding their work with trendy titles while taking their contributions for granted until everything breaks18:25 — Ops Must Upskill or Lose Ground: Operations professionals need to actively learn AI tools now, or risk having engineers and upskilled marketers fill the strategic vacuum they leave behind19:15 — AI Pricing Will Follow Uber Model: AI companies will likely subsidize usage initially to create dependency, then dramatically increase pricing once users are locked in37:53 — AI as Data Hygiene Assistant: Use AI for observability and anomaly detection in your CRM rather than giving it permission to make changes45:30 — Ops More Essential Than Ever: While there's consolidation pressure in ops, strategic ops practitioners who act as the 'adult in the room' for go-to-market are becoming more valuable, not less59:00 — Attribution's Real Purpose: Attribution should be used directionally for channels and campaigns, not as a perfect science01:02:40 — AI Will Amplify Marketing Chaos: AI will create more marketing 'slop' and turbocharged outreach, making attribution even murkier while elevating the importance of relationships and event marketingSponsorBrought 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.
Transcribe →
Why Scott Brinker Says AI Can't Pick Your Tech Stack
Jun 300:34:53Tap to summarize"Most of marketing is not a verifiable domain. You can't outsource it to the agents. You need the humans." - Scott BrinkerScott Brinker, creator of the Martech landscape and former VP of Platform Ecosystem at HubSpot, joins Jacqueline for a no-holds-barred conversation on AI's real limits in marketing, and why the industry's confidence in what AI can do may be its biggest liability. This is a genuine stress test of some of marketing technology's most popular assumptions: that AI can replace human judgment in vendor selection, that content governance is someone else's problem, and that consolidation is always the safe bet.The episode opens on the concept of synthetic certainty: AI outputs that feel authoritative but can't actually be validated, and builds from there into a broader argument about why marketing, as a non-verifiable domain, is more defensible than people fear. Scott draws a sharp line between tasks AI can handle reliably and decisions that require taste, context, and stakes. The stakes get real when he calls out the single most dangerous assumption in martech right now: that full-stack consolidation is the goal. Spoiler: handing your entire marketing operation to one vendor isn't simplification. It's surrender.Timestamps00:57 — Synthetic certainty unpacked: why marketing is not a verifiable domain like software engineering and what that means for job security04:57 — Where AI actually breaks down: a vendor evaluation scenario and why attribution models are "delusional"12:33 — The AI content governance gap: 103 of 163 respondents doing zero verification, and whether this becomes an industry credibility crisis22:59 — The three-bucket theory of marketing roles and which bucket AI is about to crush entirely26:42 — The most dangerous assumption Martech operators are making: why full vendor consolidation is a trap, not a goal33:46 — Seventeen years of mapping the landscape: what the 2011 version of Scott would find shocking about vendors, brands, and the future of martech researchSponsorBrought 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.
Transcribe →
Why Everyone in Martech Feels Behind Right Now with Scott Brinker
May 2700:40:09Tap to summarize"Content was king. Now context is the monarch." — Scott BrinkerScott Brinker has been mapping marketing technology longer than most practitioners have been in it. In this Hot Seat episode, Jacqueline puts the godfather of Martech in the chair to pressure-test the 2026 State of Martech Report, and what emerges is a surprisingly honest reckoning with where AI in marketing actually stands. The landscape has hit a historic plateau, the stack is stratifying into competing gravitational layers, and the organizations holding it all together are marketing ops teams that didn't sign up to be system administrators in the first place.The conversation moves from the chrysalis metaphor anchoring this year's report – AI everywhere, integrated nowhere, necessary mess – to the bifurcation Scott predicts between infrastructure consolidation and an explosion of ephemeral, app-like software. From content marketing's category collapse to Salesforce and HubSpot's reluctant pivot to headless architecture, this episode maps the strategic fault lines every B2B and B2C martech practitioner needs to understand. It closes on a tension Scott can't fully resolve yet: synthetic certainty, and why the most dangerous problem in the stack may be the one nobody has named.Timestamps02:05 — Rapid fire: first martech tool, what's overrated, and one word for martech in 202609:12 — AI everywhere, integrated nowhere: the chrysalis metaphor and the messy middle16:10 — The landscape plateau: less than 0.1% growth after 15 years of expansion: pause, peak, or bifurcation?21:00 — Content marketing's category collapse and why the first wave of AI-native tools was always going to burn fast27:19 — Pace layering, composability, and how to make stack decisions when the ground won't stop moving32:56 — Stack stratification: the battle for the center of gravity between SaaS incumbents (Salesforce + HubSpot), data warehouses, frontier labs, and the multi-front war for the center of gravity38:14 — MCP's rise and the governance problem nobody is solving yet44:44 — Synthetic certainty and the unnamed problem to be discussed in Part 2SponsorBrought 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.Brought to you by Bloomreach’s Innovation Fest on June 3. A 60-minute live virtual event built around one idea: value before volume. While the rest of the market races to announce more AI agents, they're making the case for fewer, better ones — agents actually held to a standard of moving revenue numbers. Worth attending if you're tracking where agentic AI in commerce is actually going. Sign up here!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.
Transcribe →
Making Sense of Martech Trailer
May 2000:00:56Tap to summarizeWe host unfiltered conversations with the people shaping the industry. We track the biggest shifts in the marketing technology landscape and ecosystem.Cutting through the noise to spotlight what matters, who’s leading (and lagging), and what’s next for modern marketing teams. In this industry, clarity is power — and we're here to deliver it.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.
Transcribe →
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.
Transcribe →
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.
Transcribe →
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.
Transcribe →