Making Sense of Martech

Monarch
  • 5.0 (3)
  • Marketing
  • Updated Weekly

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.

  1. 7h ago ·  Video

    With MCP, There's No Sheriff with Israa Alrawi

    "MCP adoption is outpacing security, and we're waiting until something really big gets broken to even address it. We've seen this movie before." — Israa MCP security risks are moving faster than the guardrails meant to contain them. In this episode of Making Sense of Martech, host Jacqueline Freedman sits down with Israa Alwari, founder of The Winbox, an email marketing education and agency helping DTC brands scale without burning their customer relationships down in the process.  Israa brings a rare lens to the MCP conversation: eight years in email deliverability, a background in public health and occupational safety, and a habit of asking the question everyone else skips: who actually owns this when it breaks? Together they tear apart the MCP hype cycle. The answer, as it turns out, is you. The brand. The business that plugged it in. This conversation is a necessary gut check before you plug in another connector: what MCPs actually do with your data, why the risk predates the protocol itself, and why the gap between adoption and accountability keeps widening for exactly the reasons you'd expect. Timestamps 03:56 — Back to Basics: Fundamentals, correctly set-up systems, guarded platforms, solid infrastructure, drive 90% of real revenue. Every shiny new tool is just an add-on to that foundation. 05:43 — Moving at 100,000mph Without a Seatbelt: Martech's move-fast culture is exactly what makes MCP adoption dangerous. Building fast without monitoring what you've built is how deliverability and data problems compound silently. 12:30 — Education Before the Checkbox: Platforms should require real education before a user can activate an MCP, not a liability-clearing terms-of-service click that nobody reads. 17:50 — The Risk Started Before MCP: Data-exfiltration risk didn't start with MCP. SaaS vendors were quietly scraping client lists out of Klaviyo three years ago. MCP is a new surface for an old, unresolved vulnerability. 20:18 — Platforms Should Build AI In-House: If a platform has built-in AI, why is it pushing users toward external MCP connectors instead of delivering those insights natively? The incentive gap is a security problem hiding in plain sight. 25:30 — The First Name Field as an Attack Vector: A malicious prompt in a first name form field can instruct an MCP to export your entire contact list. Most teams would never notice until the damage is done. 34:10 — The Business Always Takes the Hit: When an MCP breach happens, the platform, the builder, and the regulator all walk away. The only party left holding the damage is the business that plugged it in. 41:55 — Your Customers Never Consented to This: Customers gave their data to buy a product, not to train AI systems. That consent gap is a liability most brands haven't thought through once. 47:36 — Biggest MCP Risk: Your Own Employees: The most urgent MCP threat isn't an outside hacker; it's your own employees using personal AI accounts to pull company data with zero audit trail. 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 & Subscribe Subscribe 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.

    With MCP, There's No Sheriff with Israa Alrawi

  2. Jul 22 ·  Video

    How to Be an Unhinged $1.4B Unicorn

    "People respond to people. It's worked really well for PostHog to lean into the personalities of the people who build the company. We're being authentic, we're being honest, being unfiltered. And I think that's refreshing." — Lottie PostHog built a $1.4 billion company on a single thesis: stop guessing, measure everything. So why is PostHog's own brand, the hedgehog, the chaos, the weirdness people fight for in Slack, measured mostly by gut feeling and good vibes? In this episode, Jacqueline sits down with PostHog's marketing lead Joe Martin and lead graphic designer Lottie Coxon to pull apart what actually makes a bold brand stick at scale. Together, they've spent years keeping PostHog weird, and they have the campaigns to prove it. This one covers brand autonomy, the real ROI of mascots, why AI has data but not instinct, what it actually costs to hire for taste, and why a data company running an A/B test on its own illustrations is both perfectly on brand and, in hindsight, exactly the wrong call. PostHog sells tools that optimize the B2B playbook. Their own brand is allergic to it. Timestamps00:00 — A $1.4B analytics company whose most-loved asset is governed by feel, not metrics. 08:05 — A teacher told Lottie she wasn't good at art. That summer she practiced every day — not to prove anyone wrong, but because she discovered she could get better. 09:35 — Lottie didn't iterate toward a visual ideal. She iterated toward a feeling: the hedgehog had to channel the specific personalities of the people building the company. 17:20 — PostHog shipped a competitor comparison chart that crossed from knowing sarcasm into mean-spirited. Pulled within two days. Intent was right. Execution landed wrong. 24:15 — PostHog's original marketing font was Lottie's actual handwriting, turned into a typeface called "Loud Noises" so the whole team could write in hedgehog speech bubbles. 36:20 — PostHog's hiring test isn't about polished proposals. It's about whether a candidate can decide what to do and then actually do it. 43:34 — Joe ran an A/B test replacing brand illustrations with product screenshots, found marginal differences, and concluded the test itself was the wrong call. 50:28 — PostHog's brand works because it reflects the actual personalities of the people who build it. Authenticity isn't a strategy. It's what happens when you stop performing one. 52:50 — AI can approximate taste but has no genuine intuition. It produces the average of everything else. 57:52 — Knowing when not to measure something is a more sophisticated form of data literacy than chasing every metric. 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 & Subscribe Subscribe 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.

    How to Be an Unhinged $1.4B Unicorn

  3. Jul 15 ·  Video

    You're Getting Gouged on Compute with Luke Ambrosetti

    "APIs led us to data silos. MCP could lead us to context silos, and that's why I'm hoping people will be a bit more restrictive about where they hook up MCP." — Luke Luke Ambrosetti has spent a decade arguing that the data warehouse should sit at the center of every enterprise martech stack. Now, as Databricks plants its CDP flag and Snowflake expands into AI decisioning, the architecture he championed is either winning or getting absorbed into something bigger. In this episode, Luke, principal industry architect for marketing and advertising at Snowflake, joins Jacqueline to unpack whether warehouse-native has become a genuine foundation or just another vendor checkbox. They cover the full arc: why schema ownership beats security as the real argument for warehouse-native, how SaaS vendors have quietly marked up compute and resold it back to brands, and what the explosive growth of MCP servers without governance infrastructure actually means for enterprise martech teams. This is a conversation about structural power in the stack, who controls the serving layer AI operates from, and whether innovative challengers or deep-pocketed incumbents walk away with the next decade. Timestamps 03:39 — Resist Buying Anything First: When building a martech stack from scratch, Luke's instinct is to resist purchasing any tool for as long as possible and start with a business conversation instead, a direct challenge to the tool-first culture of the industry. 06:30 — The Warehouse as a Serving Layer for AI: Every major platform is racing to become the governed, AI-ready data layer because whoever owns that foundation wins the next generation of martech. Luke explains why that race matters more than the CDP wars ever did. 09:29 — Warehouse-Native as a Checkbox Feature: Luke names the single most common architectural mistake he sees: brands going warehouse-native in name only, with vendors attaching the label without committing to the underlying architecture. 11:55 — Vendors Are Gouging You on Compute: Martech vendors have historically marked up cloud compute and storage and resold it to brands as SaaS fees, and warehouse-native flips that dynamic by forcing vendors to compete on actual differentiated functionality. 14:44 — Schema Ownership as the Underrated Benefit: Luke argues the most overlooked advantage of warehouse-native is not security or cost savings but owning your own definition of what a customer looks like, so you are never force-fit into a vendor's data model. 17:40 — Brands Failing Publicly With AI: Luke argues that brands that experiment with AI and fail publicly deserve more credit than those that stay too conservative; visible failure is evidence of a culture willing to learn. 26:40 — The Self-Referential Nature of Big AI Deals: Luke calls out the circular dynamic of major platforms paying each other billions in AI arrangements, while still affirming that real brand-level results keep him from writing it off entirely. 28:30 — Who Wins, Innovators or Incumbents: Luke gives his personal read on where the real competitive advantage sits as every tool races toward becoming every other tool. 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 & Subscribe Subscribe 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.

    You're Getting Gouged on Compute with Luke Ambrosetti

  4. Jul 8 ·  Video

    Stop Ignoring the $1.3 Trillion Gap with Sarah Gallardo

    "If I could live through accessibility audits and not have someone say, 'but we have alt text,' I would feel like I just entered a new realm of the world." — Sarah Email accessibility (a11y) is broken, and the industry largely knows it. 77% of brands say accessibility is a priority. Only 8% follow best practices. Only 0.1% of HTML emails actually meet the standard. That's not a resource problem; it's a myth problem, a status quo problem, and in some cases, a willful ignorance problem. The industry talks endlessly about inclusion while locking out 1.3 billion disabled people worldwide, who collectively control over $1 trillion in annual disposable income. Sarah Gallardo has spent over 12 years building email campaigns for Fortune 500 companies, earning her CPACC and Trusted Tester certifications along the way. She now audits enterprise email programs for accessibility, and in this episode, she brings the receipts on an industry that talks inclusion and consistently fails to deliver. Timestamps 00:42 — The 77% vs. 8% Chasm: The industry says accessibility matters. The data says otherwise, and the gap isn't malicious; it's a myth. Either way, disabled users pay for it. 07:15 — The $121 Billion Case: Inaccessible digital experiences cost an estimated $121 billion on Black Friday 2021 alone. The ROI argument isn't theoretical; it's already been paid for. 16:45 — Why the Big Platforms Are Still Behind: Legacy code, slow feedback loops, and architecture built before accessibility was a priority. Sarah explains why the tools millions of marketers use every day haven't caught up. 20:55 — AI Can't Audit This, Yet Don’t Chase 100%: 60–80% of WCAG criteria can't be evaluated by any automated checker. A perfect score from a tool isn't a finish line; it's barely a starting point. 26:44 — How Misinformation Survives at Scale: At large companies, bad accessibility advice spreads quietly through dev teams. Only certifications, reputation, and leadership backing earn advocates enough authority to push back. 31:00 — The Alt Text Myth That Won't Die: Alt text isn't the finish line marketers think it is. 25% of disabled users aren't using screen readers at all, including people with dyslexia, relying on tools that block images outright. 38:55 — The Moment Stakeholders Stop Arguing: Nothing converts a skeptic faster than hearing a screen reader try to read a broken email out loud. Sarah's go-to move in the room. 43:30 — Audits for Lawyers vs. Audits for People: Some companies run accessibility audits to build a legal paper trail, not to fix anything. Sarah's real job is turning that defensive instinct into actual change. 49:30 — The Misinformation Loop Nobody Talks About: Bad accessibility advice gets copy-pasted across the industry until it's baked into real codebases, quietly undermining the very users it claims to help. 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 & Subscribe Subscribe 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.

    Stop Ignoring the $1.3 Trillion Gap with Sarah Gallardo

  5. Jul 1 ·  Video

    AI Was A Waste of Time, Until It Wasn't with Megan Boshuyzen

    "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." — Megan Email 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. Timestamps 04:35 — 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. 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 & Subscribe Subscribe 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.

    AI Was A Waste of Time, Until It Wasn't with Megan Boshuyzen

  6. Jun 24 ·  Video

    Ticket Taker vs. Problem Solver: Be Irreplaceable with Darrell Alfonso

    "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." - Darrell This 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. Timestamps 04:34 — 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. 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 & Subscribe Subscribe 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.

    Ticket Taker vs. Problem Solver: Be Irreplaceable with Darrell Alfonso

  7. Jun 17 ·  Video

    Martech Tools Should Serve, Not Dictate with Bree Graham, ex-CashApp & Afterpay

    Most 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. Timestamps 05:12 — 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. 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 & Subscribe Subscribe 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.

    Martech Tools Should Serve, Not Dictate with Bree Graham, ex-CashApp & Afterpay

  8. Jun 10

    It's Just Marketing Ops With Better PR with Sara McNamara

    "SaaS companies are systematically undervaluing marketing ops professionals by rebranding their work with trendy titles while taking their contributions for granted until everything breaks.” — Sara Sara 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. Timestamps 03:45 — Building Ops at Vector: How Sara approaches go-to-market operations at a Series B company and the unique challenges of scaling ops infrastructure 07:20 — Career Journey Through Big Tech: From Slack to Salesforce to Cloudera, the lessons learned building revenue systems at enterprise scale 10:15 — 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 breaks 18:25 — 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 behind 19:15 — AI Pricing Will Follow Uber Model: AI companies will likely subsidize usage initially to create dependency, then dramatically increase pricing once users are locked in 37:53 — AI as Data Hygiene Assistant: Use AI for observability and anomaly detection in your CRM rather than giving it permission to make changes 45:30 — 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 less 59:00 — Attribution's Real Purpose: Attribution should be used directionally for channels and campaigns, not as a perfect science 01:02:40 — 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 marketing 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 & Subscribe Subscribe 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.

    It's Just Marketing Ops With Better PR with Sara McNamara
See All (48)

Trailer

Ratings & Reviews

5
out of 5
3 Ratings

About

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.

Information

  • Creator
    Monarch
  • Years Active
    2021 - 2026
  • Episodes
    48
  • Rating
    Clean
  • Copyright
    ©️ Monarch Advisory Partners LLC
  • Show Website
    Making Sense of Martech

You Might Also Like