Scaling 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.

Timestamps

00:33 — Pain point #6 introduced: scaling personalization, execution speed, and global complexity

02:09 — The data paradox: 75% of buyers demand personalization, but 53% of companies can't measure its value

04:38 — Why only 12% of companies qualify as true personalization leaders and what's holding the rest back

09:30 — The insight foundation: why every personalization program needs it

14:50 — The six-month Adobe Target story: when tech implementation has no personalization strategy behind it

20:21 — The execution problem hiding as a personalization problem and how centers of excellence can fix it

26:45 — Four solutions: prioritize moments that matter, simplify, build for speed, and align teams on shared incentives

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.

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AI 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.

Timestamps

00:41 — Pain point five: AI adoption pressure without clear value realization

02:35 — The "I Love You" virus and the Y2K parallel — why AI hype rhymes with tech history

06:07 — The 100x spending surge and why 30% of gen AI POCs are abandoned

09:54 — 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 layoffs

19:14 — The budget data shock: companies without an AI budget face a 60% decrease in Martech investment

22:03 — The Trojan Horse strategy: using AI budget to fix your broken stack

23:06 — Role-play: how to push back when an executive demands an "agentic AI strategy in 30 days"

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.

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Marketing 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.

Timestamps

00:20 — Martech World Forum recap, data releases, and renewal horror stories

04:34 — The uncomfortable truth about ROI and attribution gaps

07:08 — The “epistemological crisis” and why marketers don’t trust data

13:32 — Leadership churn, siloed teams, and broken measurement

24:27 — Fixing the foundation: taxonomy, definitions, and data hygiene

28:11 — Measurement trees, North Star metrics, and the case for measuring less

33:57 — Speaking the CFO’s language: customer margin and commercial impact

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.

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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.

Timestamps

05:20 — Ian's very first Martech platform and early in-house systems

13:40 — The DIY mindset: great in theory, brutal in practice 

20:40 — March Madness war rooms and real-world stress testing

24:14 — Braze vs. Salesforce Marketing Cloud: raising the floor, lowering the ceiling 

27:07 — Three years of Adobe CDP and nothing to show for it

31:03 — The consulting agency trap and how to keep them on rails 

37:47 — Martech fragility and leadership blind spots

41:33 — When institutional knowledge disappears overnight

42:04 — AI in Martech: predictive intelligence, not magic

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.

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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.

Timestamps

05:12 — 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 title

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.

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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 yourself

04:14 — How Salesforce Marketing Cloud changed everything

08:45 — Why LTV is dead (or at least overrated) and what metric actually matters

18:05 — 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 fluff

38:22 — System of record vs. system of context: What CDPs actually do

45:38 — 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 horizon

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.

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Jacqueline 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 preview

05:05 — The $215 billion black hole: McKinsey's warning on Martech losses

09:50 — Three root causes of integration complexity: language, legacy, and IT dependency

18:30 — Interoperability planning and working forwards, not backwards, and misaligned incentives

28:00 — Data gravity and governance: Identifying your center of gravity and mapping data flows

35:30 — Best-of-breed and the monolith vendor problem

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.

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 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 transformation

11:45 When help becomes dependency

16:30 Procurement safety vs operational fit

22:55 Lift-and-shift isn't transformation

30:35 The chief marketing technologist identity crisis

46:20 Strategy is easy. Execution is the real test

59:30 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. 

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Martech 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.

Timestamps

01:02 — 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 fuel

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 www.hightouch.com/msom.

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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 risk

05:38 — AI doesn't always equal value, and monetization is the bottleneck

06:33 — Category identity crisis: "platform" branding vs point solutions

10:20 — Gartner's CDP Magic Quadrant: hype, churn, and composability confusion

17:56 — The cost of data fragmentation

25:43 — The "Jenga tower" of org complexity and how stacks collapse

45:54 — The playbook: define customer data ideals and don't let vendors drive

Sponsor 

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!

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Email is still treated like a messaging channel, and that mistake is quietly destroying value. In this episode, Jacqueline sits down with Dela to challenge the default rules of email marketing and reframe the inbox as what it actually is: owned media and intent infrastructure. Nearly every sacred KPI is put on trial, including opens, clicks, suppression, and frequency caps, and replaced with a media-first lens focused on reach, impressions, and long-term behavior.

Dela breaks down why email only feels "free" because you are the product, how Gmail captures behavioral data at a massive scale, and why unopened and even archived emails still drive search, site visits, and revenue weeks later. The takeaway is blunt. Brands overpay for paid media while underusing the cheapest, most measurable audience they already own.

Sponsor

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!

Timestamps 

00:55 — The lie at the center of email marketing

08:55 — Gmail didn't give you free email: it took your data

12:10 — How unopened emails still create intent and sales

18:20 — Advertising works even when attribution fails

29:10 — Why "inactive" subscribers are your most valuable audience

43:05 — Your list is a legal right, not a platform asset

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In this Office Hours episode, Jacqueline is joined by guest host and industry analyst Keanu Taylor to examine what's actually working inside large organizations. Drawing on insights from his research, the conversation explores why many "AI strategies" amount to fragmented experiments, and what it really takes to move from internal pilots to external decisioning. Instead of chasing one all-powerful agent, leading teams are breaking work into hierarchies of specialized micro-agents, backed by better data context and governance.

ROI shows up in unexpected ways: efficiency gains often unlock deeper strategic insight rather than just cost savings. And none of it works without adoption, which means real hand-holding, expectation management, and treating data governance as infrastructure, not a meeting-room exercise.

Timestamps

00:04 - Introducing Keanu Taylor and the marketing technology shift 

01:42 - What 13 enterprise consumer brands are testing with AI agents

02:56 - Navigating the era of doing more with less in martech 

07:10 - Why autonomy doesn't mean AGI: the rise of micro-agent hierarchies

10:33 - AI decisioning agents explained and how they're finally delivering value 

15:02 - Two-sided ROI: efficiency gains that unlock effectiveness and insight

20:52 - Adoption reality: mistrust, user inertia, and the need for hand-holding

 31:21 - Moving data governance from meeting rooms to infrastructure

Sponsor 

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!

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Marketing was supposed to get simpler. Instead, it got more expensive, harder to operate, and increasingly rigid. Jacqueline sits down with Adam Greco (previously at Salesforce, Adobe, and Amplitude) to unpack the rise of "Suite Fatigue," the growing frustration with all-in-one marketing technology platforms that promised the world but delivered fragments.

They get into why this moment feels different, how renewal pressure and slow innovation are turning "one vendor" into a long-term liability, and why the data warehouse is increasingly becoming the backbone of modern marketing stacks. The big question underneath it all: if you were starting from scratch today, would you still choose the same suite?

Sponsor
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!

Timestamps 

01:05 — Suite Fatigue defined: when the "simpler stack" turns into a tax

10:57 — What people admit out loud vs. what they only say off-record

15:54 — The core symptoms: lock-in, slow innovation, and forced migrations

18:12 — The Franken-suite reality: shallow integrations + pay-to-play support

27:33 — Why speed to activation breaks first in legacy stacks

43:02 — "Okay, boomer." Can suites make a comeback?

53:08 — What to do next when the math stops working

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Jacqueline and Juan kick off 2026 with a quick reality check: stepping away from screens feels great, but the Martech stack doesn't magically get simpler while you're gone. They get brutally practical, drawing on conversations with 300+ brand-side marketers to map the six biggest pain points emerging across enterprise teams right now.

They dig into why "Customer 360" is still mostly a fantasy, how integration complexity turns stacks into brittle Jenga towers, and why AI pressure is creating more chaos than value. From auto-renewal horror stories to redundant CDPs and initiatives chasing optics instead of ROI, the message is consistent: confidence comes from evidence, not experience bias — and the cost of getting it wrong has never been higher.

Timestamps

02:10 — An exclusive announcement for listeners

03:50 — Why experience-based advice keeps failing enterprise teams

07:45 — Six themes from 300+ marketer conversations: what's breaking in enterprise

10:50 — Data fragmentation and the myth of Customer 360

15:00 — Why evidence-based decisions are the only way forward

18:20 — Integration complexity, legacy sprawl, and cross-team coordination failures

26:15 — AI pressure without value: herd mentality of GenAI, risk, and bad customer experiences

31:00 — Adoption and operating model problems: utilization dropping, skills gaps growing

36:00 — Measurement, attribution, and ROI proof gaps: why nobody trusts the numbers

41:30 — Scaling personalization and execution speed: the bottlenecks no tool can fix

Sponsor

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!

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In this episode, Jacqueline sits down with Mariska and Jakub to unpack the "bot layer" that's quietly wrecking modern email: security scanners, crawlers, and malicious automation that inflate clicks, poison dashboards, and trigger the wrong automations. They get specific about why bad actors iterate faster than platforms, why "heuristic guesswork" leads to painful false positives, and how beehiiv opted for radical transparency by showing verified clicks alongside raw data. The conversation also jumps channels: Jakub argues RCS could undercut SMS on price and become the next high-volume abuse playground.

This episode was recorded in October 2025. Any references to global events were included as illustrative context, not as commentary on current news.

Timestamps

01:20 – Worst unsubscribe nightmares, Roman aqueducts, and unexpected heroes

05:40 – Why "free" email creates systemic abuse (and why volume hides the bad actors)

08:06 – How threat actors bypass trust indicators

11:02 – The reality check: protection isn't getting easier, it's getting more complicated

19:02 – Defining non-human interactions (NHI) and bot detection

24:12 – Bot detection: definitive data vs heuristics, and why false positives hurt more

26:20 – Elevating verified human engagement at Beehiiv

33:13 – RCS vs SMS: the pricing lever that could supercharge abuse

46:14 - Global privacy legislation and the future of trust

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 www.hightouch.com/msom.

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It marked the revival of Making Sense of Martech, and we owe it all to you and the incredible guests who took a chance on us. Here are a few standout moments. Wishing you happy holidays and a brilliant new year!

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Their forecast is a "make or break" year in which the winners won't be the loudest early adopters, but the teams whose data and operating habits are clean enough for AI actually to stick. Keanu predicts a sharper split between the AI "haves" and "have-nots," with organizational readiness acting like gravity on every agent, model, and workflow. 

The bet: 2026 will expose which stacks are built for decisions, not demos — and which ones were never ready for either.

Timestamps

01:08 ExactTarget's 25th Birthday/Anniversary

03:54 Prediction 1: AI Agent Adoption and Readiness

10:35 Prediction 2: The Rise of AI Decisioning Silos

21:48 Prediction 3: CDP and CEP/ESP Stack Consolidation

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 www.hightouch.com/msom.

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In this Hot Seat episode, Jacqueline sits down with Jason, CMO at Customer.io, to ask a simple question: what would it actually take to make martech cool again? Drawing on stints at Dropbox, BetterCloud, and Microsoft, he unpacks how brand storytelling, design, and experience can turn forgettable software into something people genuinely want to be around, and why so many teams lost that plot after the early cloud-era glory days. 

From Bob Ross livestreams to "Raiders of the Lost Lifecycle," this is a playbook for injecting swagger back into marketing without sacrificing pipeline, rigor, or credibility.

Timestamps

00:25 – First Martech tools, Mixpanel obsession, and Jason's weekly grilled cheese ritual

06:30 – Shaping brand storytelling: experience at Dropbox, BetterCloud, Microsoft

11:43 – What made early Salesforce so magnetic and why Martech lost its spark

16:40 – Making Martech cool again: inside Customer.io's Bob Ross, Hot Ones, and Raiders of the Lost Lifecycle concepts and playful brand identity

20:00 – What modern marketers actually want from live experiences

25:55 – Can mascots, memes, and influencers bring consumer fandom dynamics to Martech?

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 www.hightouch.com/msom.

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Jacqueline and Juan unpack what "more human" marketing actually looks like when AI is mediating everything from search to Black Friday deals. They break down Adobe's acquisition of Semrush, quarterly Martech earnings, the Black Friday/Cyber Monday shift toward mobile-plus-AI shopping, BNPL's surge, and ChatGPT's three-year impact on how people search, think, and buy. 

Timestamps

00:04 – MWF NYC debrief and why this year felt like a turning point for Martech

05:10 – Stranger Things and what "good" co-marketing actually looks like

10:30 – Woo-Woo vs data: how much of marketing is still intuition dressed up in dashboards

16:20 – Adobe buys Semrush: GEO data, media consolidation, and why Adobe blinked on AI search

24:40 – Quarterly Martech earnings: mid-market outpaces the enterprise and AI narratives without ROI

33:30 – BFCM early numbers: mobile-plus-AI shopping, BNPL growth, and fewer margin-killing discounts

36:56 – ChatGPT's third anniversary: national rollbacks and the societal risks of AI

42:15 – Subscriber question: How to drive change inside organizations when tooling and incentives clash?

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 www.hightouch.com/msom.

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This Hot Seat episode puts Matt McFee, an email veteran and founder of Inbox Monster, under the microscope. Jacqueline digs into how he went from Wall Street and Yahoo to co-founding BriteVerify, acquired by Validity, and why he thinks most brands are still wildly underestimating deliverability. He unpacks why inbox placement is really a revenue insurance program, not just a technical hygiene task, and why the real customer "moment of value" usually happens months after the contract is signed.

Timestamps

01:03 – What would make Martech better? 

05:22 – What 25 years in email have taught him about the inbox

07:32 – Lightbulb moment that led to found BriteVerify and Inbox Monster 

11:58 – AI previews, creative rendering, and why annotations actually matter

15:48 – What marketers should be paying more attention to in deliverability 

19:55 – Quantifying deliverability as a revenue insurance program for stakeholders

25:02 – Opinions on industry innovation and consolidation 

28:23 – What vendors can do to better help marketers 

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 www.hightouch.com/msom.

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In this Hot Seat episode, Jacqueline sits down with David Joosten, co-founder of GrowthLoop and coauthor of First-Party Data Activation, to unpack why so many brands are "doing" first-party data yet still serving generic experiences. They dig into the tension between what customers say versus how they behave, and why marketers need to reconcile that gap with experimentation, empathy, and better use of their own data. Discover why embracing AI decisioning and continuous experimentation are crucial, and learn how to navigate the ethical red lines of using first-party data and AI responsibly in marketing. A must-listen for marketers looking to future-proof their data strategy.

David goes deep on why composable should be the default (not a buzzword), how to think about clean rooms without creeping out your customers, and what AI decisioning actually changes about the marketer's job. From compound growth engines and agentic workflows to team structures and org politics, this is a roadmap for leaders who want first-party data to drive real, measurable growth — not just prettier dashboards.

Timestamps

01:03 - Rapid Fire: AI generated content (Yay or Nay) and the marketing buzzword that needs to go.

02:30 - Is there ever a time to use third-party data ethically?.

03:54 - The most underrated skill for marketers today.

07:06 - Reconciling the gap between zero-party data (aspiration) and first-party data (behavior).

09:16 - The evolving role of first-party data in the next 3-5 years.

11:50 - Can clean rooms truly scale without compromising trust, and what's the next evolution of ethical data collaboration?

17:18 - What a "future-ready" Martech stack looks like in practice.

21:30 - Ethical red lines for AI: ensuring innovation respects privacy.

33:53 - The three-part advice for CMOs looking to future-proof their data strategy.

Sponsor

This episode wouldn't have been possible without the help of our sponsor Hightouch. Looking for a smarter way to activate your customer data? Hightouch is 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.

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In this Office Hours episode, Jacqueline Freedman and Juan Mendoza unpack the biggest Martech realities of the season: record-breaking BFCM performance and the widening "AI hype gap." From $10.8 billion in U.S. online spending (69% on mobile) to reports revealing that 95% of marketers want AI personalization but only 2% have delivered it, the duo exposes where Martech optimism meets operational reality. 

The episode wraps with a philosophical debate on attribution, why it's not a model but a mindset, and how every marketer needs a "margin for mystery" to keep creativity alive. 

Timestamps

00:15 — Martech World Forum NYC next week and the launch of Melbourne 2026

 04:51 — Black Friday & Cyber Monday: "The Super Bowl of Martech" and the $74B global spend moment

 09:30 — From stores to platforms: the mobile commerce shift and why eCommerce needs enterprise-level investment

 16:11 — The AI Report Card: 92% say AI is a priority, 78% can't integrate it — reality check from Zapier, G2, Hightouch, and Wharton

 20:39 — Hightouch findings: 95% want AI-driven personalization, but only 2% deliver — the hype gap exposed

 41:30 — AI decisioning vs. contextual bandits: semantics, strategy, and the need for real discipline

 46:32 — Why attribution sucks: brand, politics, and the "margin for mystery" behind measurement

Sponsor

Don't miss the webinar "Has Martech Failed Marketers?" on November 13, featuring Scott Brinker and Adam Greco. Hightouch's latest survey found that nearly 75% of Martech struggles are rooted in data, not tools or strategy. Learn how to fix your data to unlock cleaner reporting and true personalization at scale. RSVP at hightouch.com/has-martech-failed

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 Jacqueline and Brian Minick, COO of ZeroBounce, get practical about AI's impact on hiring, email deliverability, and Martech operations. They unpack how AI is reshaping hiring, from candidates using copilots during interviews to the ethical implications of automation in recruitment. 

Brian shares how his gut helped him catch an AI-assisted candidate mid-interview, why curiosity and speed are the real differentiators in a digital-first world, and how he's balancing innovation with humanity at scale. Expect real talk on personalization trade-offs, customer data hygiene, leadership, and why curiosity still beats credentials. If you care about AI, Martech, leadership, and deliverability, this episode helps you cut noise and double down on what moves the needle.

Timestamps 
00:28 — Early Martech Days: Google Ads, Analytics, and the hustle era. 
03:12 — AI in Content: great for ideas, never for copy-paste. 
04:07 — The New Deliverability: why engagement, not volume, wins. 
06:25 — Curiosity-Driven Leadership: lessons from a selfless CEO. 
09:37 — Using AI Internally: copilots, data storytelling, and guardrails. 
18:35 — The Deliverability Gap: why no AI tool fully solves it—yet. 
21:10 — The AI-Assisted Interview: red flags, silence tricks, and hiring truths. 
38:23 — Leadership Without Ego: humility, speed, and follow-through. 
43:28 — What's Next: AI-generated video and the future of short-form content.

Sponsor

Brought to you by Hightouch, On November 13, Hightouch is hosting Has Martech Failed Marketers? featuring Scott Brinker of chiefmartec and Adam Greco to unpack what's really behind the pain and how fixing your data unlocks cleaner reporting and true personalization at scale. RSVP at www.hightouch.com/has-martech-failed

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Jacqueline and Juan dissect Salesforce's Dreamforce rebranding of all major products to Agentforce, the erosion of its once-strong Ohana culture, and Benioff's billionaire behavior. They unpack the AWS outage, explore operational resilience, and talk about how to overcome analysis paralysis. 

Timestamps

00:23 — Scott Brinker's "You Are the Change Agent" for Martech World Forum.

02:53 — Making QBRs (Quarterly Business Reviews) fun with a "meme wall".

06:41 — What happened to "Ohana" at Salesforce/Dreamforce?.

09:11 — Salesforce product renaming: The "Agent Force" trend.

19:26 — The massive AWS Outage felt by companies globally.

26:01 — Hot Take: Alan Trevor on using AI decisioning backwards.

34:49 — Office Hours Question: Overcoming analysis paralysis.

37:37 — The connection between analysis paralysis and a lack of courage/risk-taking.

40:07 — Confession Corner: Forgetting an elevator pitch in front of the CEO.

Sponsor
On November 13, Hightouch is hosting Has Martech Failed Marketers? featuring Scott Brinker of chiefmartec and Adam Greco to unpack what's really behind the pain and how fixing your data unlocks cleaner reporting and true personalization at scale. RSVP at www.hightouch.com/has-martech-failed

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Join Jacqueline and Neha, Head of Martech at SEEK, to unpack how the role of the marketing engineer is reshaping the future of digital transformation. 

Neha shares her insights on bridging strategy and execution, building operational readiness, and applying systems thinking to deliver scalable marketing outcomes. From the rise of AI to managing legacy tech, Neha reveals what it takes to drive meaningful innovation across marketing, technology, and customer experience. 

Key Insights

Discover the Rise of the Marketing Engineer

Learn the 70-20-10 Rule for Operational Readiness

Explore System-Level Thinking

Bridge the Marketing–Tech Divide

Navigate Legacy Systems with Agility

Build the Future Martech Leader

Timestamps

00:30 — Rapid-Fire Intro: Neha's favorite Martech tool, the "build vs. buy" dilemma, and her least-favorite buzzword: "hyper-personalization."

3:30 — Defining the Marketing Engineer: The evolution from technologist to system architect and problem solver.

7:00 — Skills for the Future: Systems thinking, product mindset, and emotional intelligence as core leadership traits.

9:30 — Operational Readiness & the 70-20-10 Rule: How to plan for change and innovation simultaneously.

14:00 — Agility in Legacy Systems: Managing tech debt while maintaining scalability and speed.

18:30 — Breaking Silos: Why shared data definitions and transparent priorities unlock collaboration.

25:00 — The Future of Martech Careers: How marketing engineers can evolve into CMOs, Chief Growth Officers, and beyond.

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 www.hightouch.com/msom.

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Jacqueline and Juan break down three of the latest Martech moments: Braze's all-in AI decisioning push, Zeta Global's acquisition of Marigold, and what Taylor Swift's marketing playbook reveals about loyalty and fandom. 

Drawing from recent Martech World Forum events in London and San Francisco, they cut through the hype around AI, vendor economics, and what real enterprise teams are actually doing to make Martech work.

Highlights

Discover how Taylor Swift's variant strategy rewrites loyalty and first-party data engagement.

Learn why most AI decisioning pilots stall—and how to tell if your org is ready.

Understand what the Zeta–Marigold deal says about Martech consolidation and the future of loyalty tech.

Explore how enterprise teams turn "global rollouts" into many small, scalable wins.

Hear why authenticity and data discipline still beat automation and hype.

Sponsor
This episode wouldn't have been possible without the help of our sponsor Hightouch. Looking for a smarter way to activate your customer data? See what Hightouch can do for you at hightouch.com/msom.

Timestamps
03:25 — Lessons from HSBC & Tailored Brands (Men's Wearhouse) on rolling out AI at scale. 
07:12 — Braze's AI Decisioning: Analyzing the early use cases and the hard truth about ROI. 
10:28 — Vendor rush: CDPs, decisioning, and the hidden cost of data operations. 
14:04 — The Real Cost of AI: Why governance and data readiness are the biggest factors in Total Cost of Ownership (TCO). 
16:34 — Zeta Global acquires Marigold: strategy, price, and implications. 
21:01 — The Taylor Swift Effect: loyalty, data, fandom economics, and corporate greed. 
28:37 — Office Hours Q&A: Do you think the real power of a show like this is in analyzing the companies—or in challenging how the industry itself thinks about using (or refusing) AI in daily work?

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Lauren Meyer, CMO of SocketLabs, joins Jacqueline Freedman on The Hot Seat to discuss what marketers get wrong about email. She shares how to earn real engagement, why "inbox placement rate" is a lie, and how to prove email's value inside your org. A must-listen for anyone in marketing ops, lifecycle, or Martech leadership who wants to make smarter, data-backed email decisions.

Highlights

Learn why consent alone isn't enough and how to earn lasting attention.

Discover how to win internal buy-in with small, proof-of-concept projects.

Understand why marketers must accept churn and stay consistent.

Cut through noisy metrics and drop "inbox placement rate" from your reports.

Get smart about measuring engagement post-MPP using replies, site visits, and revenue.

Spot vendor red flags: no one can "guarantee" inbox placement.

Timestamps
2:16 — Epic Fail Story: The migration mistake that led to 3,000 spam complaints and a deliverability meltdown.

8:15 — The Consent Myth: Why consent is just the handshake and attention is the real battle.

12:54 — Fighting for Email: How to advocate for email internally with small proof-of-concept wins.

15:08 — Data Hygiene: The B2B vs. B2C data gap and why you should offer personal email sign-ups.

17:52 — Data Overload: Why giving marketers too much data leads to paralysis and bad assumptions.

19:52 — The Metric to Ban: Why "Inbox Placement Rate" is unreliable and based on robot "seed testing."

22:06 — Vendor Red Flags: What to ask about human support and why no one can guarantee inbox placement.

25:02 — Post-APP World: How to measure engagement through conversions, replies, and site visits, not opens.

33:09 — AI Limits: The doctor vs. over-the-counter analogy for AI in deliverability.

Sponsor
This episode wouldn't have been possible without the help of our sponsor Hightouch. Looking for a smarter way to activate your customer data? See what Hightouch can do for you at hightouch.com/msom.

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In this episode of Making Sense of Martech, we sit down with Natalie Miles, Staff Product Manager for Martech at Grammarly and former Head of Martech at Chime and Credit Karma. She is an expert in managing massive data volumes, driving scalable personalization, and assembling composable marketing technology stacks.

This is a must-listen for leaders and practitioners navigating the complex world of high-volume email, the composable CDP space, and the ever-present "build vs. buy" debate in the age of generative AI.

Highlights

• Learn the biggest challenge of scaling audience segmentation and deliverability to billions of emails per year, and why it's a "people problem" before a data problem. 
• Hear a hilarious and painful "epic fail" story involving a compliance email, a financial services company, and a sex hotline.
• Understand the pros and cons of warehouse-native (composable) CDPs versus traditional, off-the-shelf solutions, and why the term "CDP" is fuzzy.
• Discover the key difference between real-time and batch data delivery and how to decide what your use case truly needs.
• Natalie's "dream scenario" tech stack for a high-volume, modern company, including her top picks for reverse ETL and ESPs.
• Learn how to define a North Star metric that aligns with customer engagement signals with long-term LTV and business outcomes.

Timestamps
01:35 - Rapid Fire: Night Owl, Favorite Martech Tool (It's not an ESP), and Vibe Coding.

03:43 - Professional Admiration: Why Credit Karma's marketing cohort was a special "incubator."

05:33 - Epic Fail: The compliance email, the phone number, and the sex hotline. 

09:20 - Reversing a Major Martech Decision: When a personalization tool isn't worth the price.

11:29 - Scaling to Billions of Emails: The challenge of data hygiene vs. the people problem.

15:54 - Composable CDPs: Deciding between real-time bvs. batch data.

20:20 - Predictions: The future of composability and why "CDP" is a fuzzy term.

26:02 - The Age-Old Questions: Build vs. Buy in the age of Generative AI.

31:48 - Aligning Customer Engagement: How to define a North Star Metric that drives LTV.

35:53 - The Dream Martech Stack: Natalie's top picks for a high-volume, modern comapny.

39:25 - The AI Risk: Why you don't want to be the "first adopter" of an AI-powered ESP.

Key Takeaways

• The biggest Scaling Challenge is Organizational: At high volume, the main issue isn't data quality but the "tragedy of the commons" where siloed teams send overlapping campaigns, leading to user fatigue and churn. Having an "air traffic control" function is crucial. 
• Composability Solves for Alignment: The fuzzy definition of "CDP" and it's high cost highlight the need for composability. The warehouse-native approach is "very bullish" because the underlying data should be the single source of truth for both marketing and product/finance.
• Build vs. Buy is Fluid: The decision has historically leaned toward buying third- party tools because in-house development often results in difficult-to-use and unreliable tools, diverting precious engineering resources from core product capabilities. However, the emergence of generative AI could dramatically change the "build vs. buy calculation".
• The North Star Must Connect to Value: A true North Star metric should be time-bound, align with the natural cadence of product usage (e.g., daily active users for Grammerly)

Sponsor
This episode wouldn't have been possible without the help of our sponsor, Hightouch. Looking for a smarter way to activate your customer data? See what Hightouch can do for you at hightouch.com/msom.

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In this episode of Making Sense of Martech, we host our first-ever debate to define what a CRM is and if the definition is changing as the line between B2B and B2C blurs. We're joined by Karla Vince, who leads marketing automation at Topcon Healthcare, and James Fang, Director of Product Marketing at Klaviyo. This conversation is a must-listen for anyone interested in understanding the history of CRM, its modern definition, and where it's headed.

Highlights

Understand the historical origins of CRM, from ancient Rome to the modern cloud-based solutions.

Hear a lively debate on whether CRM is a B2B-only discipline or if a B2C CRM is a valid concept.

Discover how the term CRM has expanded to include marketing, service, and analytics, and if the term is becoming overextended.

Learn how the industry's perception of CRM is evolving and the potential for new definitions.

Get insights into how AI is poised to reinvent the CRM, making it more proactive and predictive.

Timestamps

06:57 - The surprising history of CRM, from ancient Rome to Salesforce.

09:28 - Defining CRM: Is it a discipline or a technology?

11:01 - The "C" in CRM: Who is the customer?.

12:38 - Where is the line? At what point is the term "CRM" overextended?.

15:17 - How do different business models and industry toolsets shape the definition of CRM?.

26:39 - Do B2B and B2C CRMs have parallels?.

31:12 - Did Salesforce's popularization of CRM elevate or dilute the term?.

35:11 - The future of CRM: The vision of a true 360-degree customer view.

42:12 - How AI will reinvent CRM and the role of personalization.

Key Takeaways

CRM is both a discipline and a technology. While it has historical roots as a system for managing relationships, it has evolved into software that enables the management and analysis of customer interactions throughout the entire lifecycle.

The definition of "customer" is contextual. In a B2B context, a customer can be a lead, a contact, an account, or a partner. In a B2C context, it can be a first-time visitor, a subscriber, or a repeat purchaser.

The future of CRM is proactive. Instead of just being a record-keeping tool, future CRMs will use AI to offer predictive triggers, smarter workflows, and conversational intelligence.

Competition is pushing innovation. New players and changing business models are putting pressure on traditional CRM giants to evolve, leading to new developments and improvements in their core products.

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In this episode of Making Sense of Martech, we sit down with Adrian Rohr, VP of Marketing CRM at Fabletics, to uncover how one of the world's leading activewear brands is redefining customer engagement in-house with AI-powered CRM and omnichannel personalization.

This conversation is a must-listen for marketing leaders curious about AI orchestration, CRM transformation, and building high-performing in-house teams.

Highlights

Discover how Fabletics built a proprietary tech stack that powers everything from supply chain to marketing execution.

Learn why Adrian believes AI content generation — not send-time optimization — is the real performance driver.

Understand the competitive advantage of running your team entirely in-house with speed, flexibility, and institutional knowledge.

Discover how the team leverages 250+ data points daily to drive personalization at scale.

Hear Adrian's take on the future of lifecycle marketing and why marketers will soon become "AI shepherds."

Timestamps

04:54 — How "Silicon Valley meets Fashion Avenue" defines Fabletics' tech-first DNA

07:00 — Replacing fragmented CRM tools with a unified, AI-powered orchestration platform

10:20 — Inside Fabletics' team structure and culture of empowerment

17:00 — Why Fabletics keeps everything in-house: speed, control, and deep domain knowledge

25:30 — The future of AI in CRM: 1:1 personalization, omnichannel orchestration, and enterprise-scale platforms

31:50 — Optimizing subject lines with AI—plus where human oversight still matters

36:50 — Clean data, empowered teams, and advice for brands struggling to scale

39:50 — Looking ahead: AI shepherds, org chart shifts, and the need for a true "connecting platform"

Key Takeaways

AI is transforming content generation more than send-time optimization, driving significant gains for triggers and transactional messaging. Fabletics' speed, ownership, and flexibility allow campaigns to pivot instantly. Data hygiene and a centralized tech stack eliminate silos, creating an actual omnichannel experience. Over the next 1-3 years, marketers will transition from being manual executors to AI shepherds.

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In this episode, Jacqueline Freedman puts Josh Payne in The Hot Seat to unpack "living interfaces," AI-driven experimentation, and what agentic marketing really looks like in practice. 

Josh shares lessons from collaborating with OpenAI, why most CRO tests fail, and where generative engine optimization (GEO) is headed next. 

We delve into enterprise realities, including privacy and governance, avoiding spaghetti code, and what a "living interface" entails.

Highlights

Discover how "living interfaces" adapt websites in real time to lift conversion and usability.

Learn a practical framework for automating ~90% of the CRO workflow with agents.

Understand when to start with global experiments vs. personalization to reduce data-privacy friction.

Explore the rise of generative engine optimization (GEO) and why it will rival SEO in influence.

Adopt guardrails: define measurable evals, keep specs specific, and stay model-agnostic for compliance.

Hear what enterprises actually need from vendors: context, integration, and disciplined measurement.

Timestamps

03:50 - What "living interfaces" are and how they create real-time, self-improving digital experiences

04:57 - Partnering with OpenAI: visual grounding, UI generation, and early access to models

11:25 - Why most CRO tests fail—and how AI agents flip the economics of experimentation

14:50 - What "agent marketing" means: automating workflows and scaling high-leverage loops

17:45 - Common AI pitfalls and why clear goals, specs, and evals matter

24:20 - Navigating privacy concerns and model choices in enterprise AI

27:30 - How Josh filters the AI noise and stays sharp

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Highlights

Podcast launch success & what's next: global reach, sponsorship buzz, and better audio quality coming January 2025 

Martech World Forum London 2025: key speakers, VIP dinner, and how to network with enterprise leaders

Vendor partnerships: the dark side of over-reliance

Generative AI's harsh reality check (only 5% of deployments succeed)

The future of CDP pricing models

Hot takes: Pepsi's $57M AI ad vs Wendy's viral comeback

Lessons from the field: failed CDPs, misfired campaigns, and confessions

 
Key Takeaways

AI hype vs reality: start with small, measurable pilots.

Vendor partnerships should empower, not entrap.

Treat customer data like a valuable asset: maintain, enrich, and activate.

CDP pricing is shifting toward enriched profiles and behaviour triggers.

Fast, authentic engagement often outperforms big-budget AI campaigns

Timestamps

03:32 - Vendor partnerships: necessary evil or obstacle?

14:46 - Generative AI reality check

24:29 - CDP pricing evolution

32:03 - Hot take: Pepsi's $57M AI campaign vs Wendy's $9 clapback

35:17 - Pawan Verma on customer decisioning 

38:03 - Question of the Week

40:51 - Confession Corner 

Why You Should Listen

If you're an enterprise marketing leader or Martech practitioner, this episode will give you:

Insider knowledge on 2025 Martech strategies

Real-world AI lessons with measurable ROI

Advice on avoiding vendor lock-in

A sneak peek at the Martech World Forum 2025

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In this episode of Making Sense of Martech, Jacqueline Freedman sits down with Eric Miao, Chief Strategy Officer at Attentive, to unpack the future of messaging with the rollout of RCS (Rich Communication Services) in the U.S. Together, they explore how RCS is poised to transform mobile messaging into an interactive, commerce-driven channel that merges personalization, AI, and trust at scale. If you're a marketing leader, mobile strategist, or just curious whether SMS is really dead, this episode will reshape how you think about messaging. 

Highlights

Discover why RCS is being called the "next generation of messaging" and what makes it fundamentally different from SMS.

Learn how brands like Spanx are utilizing RCS to achieve substantial increases in engagement and revenue.

Understand the role of AI in enabling true one-to-one personalization at scale through messaging.

Explore how RCS could disrupt customer service, identity management, and even AdTech as we know it.

Hear predictions on adoption hurdles, carrier dynamics, and how marketers can avoid making RCS "the next noisy channel. 

Timestamps

2:16 – What RCS is and why it matters for marketers

3:22 – Game-changing features: rich media, carousels, and interactive replies

5:39 – How AI and personalization elevate RCS campaigns

7:42 – Case study: Spanx's 200% revenue lift with RCS

10:34 – Which industries are best positioned for RCS adoption

14:06 – Adoption hurdles: carriers, Google, Apple, and rollout challenges

19:18 – Preventing RCS from becoming "the next noisy channel"

23:22 – Global adoption and identity: privacy, phone numbers, and what endures

28:15 – Navigating privacy regulations, personalization, and zero-party data

38:04 – The future of SMS: fallback, governance, and avoiding bad actors

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In this episode of Making Sense of Martech, host Jacqueline Freedman speaks with Jessica Vogol, former CMO of OfferFit, acquired by Braze, and marketing leader at Movable Ink. Jessica brings a practical lens to hot-button topics in marketing like AI, personalization, and vendor hype.

They dive into what real personalization means today, why marketers should be skeptical of vague AI claims, and how to build high-impact teams without chasing every new tool.

Whether you're in marketing ops, ABM, or leading a team through Martech transformation, this conversation delivers insight without the fluff.

Highlights 

Why intent data and "agentic AI" may be overhyped

How to define personalization in a way that actually matters

What it takes to evolve testing beyond A/B

How to lead teams that are AI-fluent, not just tool-obsessed

Where the Martech landscape is headed next

Timestamps 

00:00 – Intro: Who is Jessica Vogol?

00:46 – Rapid Fire: First marketing tool, overrated tech, and ABM

02:50 – What "real personalization" looks like in 2025

04:12 – AI in marketing: Red flags and realities

05:39 – The risk of generic AI-driven content

09:52 – Is A/B testing dead? Why decisioning wins

18:29 – Hiring for AI fluency & strategic focus

23:20 – Martech consolidation: What's coming

25:32 – Final thoughts and guest recommendations

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In his first official interview as CEO of Iterable, Sam Allen joins host Jacqueline Freedman for an unfiltered conversation on leadership, AI, and the future of marketing technology. 

Drawing on lessons from the Marine Corps and Salesforce, Sam shares his philosophy of servant leadership, why AI should act as a marketer's co-pilot, and how companies can move beyond "vendor" status to become trusted advisors. He also reveals his strategic vision for Iterable's future and what CMOs must do to stay relevant in today's fast-changing Martech landscape. 

If you're a marketing leader navigating AI disruption, growth, or organizational change, this episode is for you.

Highlights

How servant leadership and radical transparency build resilient teams.

Why AI should empower marketers as a co-pilot, not a replacement.

The strategic vision behind Sam Allen's move to Iterable.

How to win the AI talent war by prioritizing culture.

Practical steps to strengthen marketing and sales alignment.

Why Martech stack consolidation is key for long-term growth.

Timestamps

03:42 – Leadership & Personal Insights from the Marine Corps

05:33 – Transition to CEO of Iterable

09:24 – AI & Innovation at Iterable (Nova)

14:11 – Ethics & the AI Talent War

18:04 – Moving Beyond Vendor Status with Customer Relationships

22:33 – Personal Insights & Martial Arts

23:04 – The Future of Marketing Technology

25:13 – Ethical Considerations in AI

32:31 – Advice for CMOs & Marketing Leaders

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In this Office Hours episode, hosts Jacqueline Freedman and Juan Mendoza dig into the corporate shakeups, shifting power dynamics, and AI debates that are reshaping the industry. 

From Yotpo abruptly shutting down its email arm before the holidays, to Litmus layoffs after acquisition, to Amplitude dethroning Adobe in the latest Forrester Wave, no corner of Martech feels stable. The duo also questions whether analyst firms like Gartner still matter and get "spicy" debating if AI is a powerful copilot or dangerous crutch for marketers. If you're a Martech leader, marketing ops pro, or exec marketing technology bets, this episode gives you the no-BS insights you need to stay ahead. 

Highlights

Why Yotpo's exit and Litmus layoffs signal deeper risks in Martech.

How to spot an "overripe Avocado" company and avoid relying on one.

What Amplitudes's rise means for Adobe and the future of Analytics. 

Why analyst firms may be losing relevance in an age of distributed authority. 

The risks and rewards of AI: augmentation vs. outsourcing your thinking.

Timestamps

01:19 - Trouble in Email Land: Yotpo shuts down its email business and Litmus faces layoffs after acquisition. 

07:15 - The overripe Avocado Theory: How to spot when tech companies are past their prime.

09:36 - Analytics Shake-Up: Amplitude rises in Forrester's Wave, Adobe loses ground, and the future of analytics suites. 

15:11 - Analyst Firms in Question: Gartner's origins, warning influence, and whether traditional authority still matters.

23:50 - The AI Debate: Is GenAI a helpful copilot or a "drug dealer" strategy that erodes critical thinking?

30:21 - Subscriber Q&A: Ben from Teachable asks about AI's impact on future marketing leadership. 

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.