Juan Mendoza + Jacqueline Freedman
72 episodes listed below
MarTech hype, tested against operations.
Making Sense of Martech treats MarTech as an operating problem, not a vendor brochure. Its conversations move from AI pressure and bad data to technical debt, personalization economics, and the people making the stack work.
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Making Sense of Martech sits inside the enterprise marketing technology conversation and keeps asking the inconvenient operational question: does any of this actually work? The show is brisk. It is also skeptical in a useful way. AI appears often, but not as magic. In Office Hours episodes, AI adoption pressure becomes an executive pressure problem, a governance problem, and a value-realization problem before it becomes a tool selection problem. Data gets the same treatment. A dashboard is not treated as truth just because it has a polished interface; the show pushes on whether metrics represent real people doing real things. That makes the conversations more grounded than most MarTech trend coverage. Guest interviews bring in operators who have lived through the consequences. Ian Reisman talks through Paramount-scale marketing automation, legacy systems, March Madness pressure, and the uneasy reality of moving off old platforms before the new state is fully mature. Jeff Lee makes the marketing engineer role feel concrete by tying lifecycle work to data, engineering, scale, and lean execution. Eloise Gillespie connects personalization to margin, incentive budgets, CFO confidence, and long-term customer value. Satya Apudyai brings the consulting-dependency problem into focus, especially where support stops transferring capability and starts becoming the business model. Linda Chereira reframes transformation around use cases, process, people, and appropriate tools rather than heroic migrations. Across episodes, the same pattern keeps returning. Martech fails less often because nobody bought enough software and more often because data, incentives, ownership, and execution were not made real. The show can get deep into category language, but it rarely stays abstract for long. It uses vendor names, enterprise examples, broken launches, and migration stories as evidence. For listeners working in marketing operations, lifecycle, personalization, analytics, or MarTech leadership, it offers a sharper way to separate durable capability from expensive theater.
Made for: Built for enterprise marketers, MarTech leaders, lifecycle teams, marketing engineers, analysts, and consultants who work close to data, platforms, personalization, and executive pressure.
What sets it apart: The show stands out by translating fashionable MarTech claims into operating realities: trusted data, CFO buy-in, migration risk, consulting dependency, technical debt, and whether a stack can actually execute.
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.
Based on 5 episodes we listened to · September 2026
Operational detail turns marketing technology from a vendor category into a clear account of cost, data quality, executive pressure, and business value.
Making Sense of Martech turns marketing technology into a series of operating decisions with real costs, constraints, and consequences. Jacqueline Friedman leads probing guest interviews, while Juan Mendoza joins her for Office Hours discussions that test industry pressures…
An 11 p.m. March Madness war room shows you what build versus buy can cost.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A skeptical map of AI pressure, from boardroom demands to the real ROI problem.
This episode treats AI adoption pressure as a leadership issue: teams are being asked for an AI strategy before the value is fully clear, and the discussion keeps circling back to ROI, risk, and the push to move without a firm direction.
A sharp look at martech trust, vendor sprawl, and why measurement keeps breaking down.
Jacqueline Friedman and Juan Mendoza treat marketing analytics as a question of trust, not just reporting. Their conference recap and ask-the-analyst segment move from the state of marketing technology for enterprise leaders into the messier realities behind it: data…
A practical look at how in-house martech control can turn into technical debt.
Paramount's martech story is a clear reminder that early control and deep customization can become a burden later. Ian Reisman describes legacy systems, 3 a.m. warehouse refreshes, and the strain of handling billions of email sends across multiple business units.
A blunt, useful reset on why martech still breaks at the data layer.
Making Sense of MarTech treats data fragmentation, inconsistent identities, and unfinished customer 360 work as the real problem behind the stack.
A strong case for treating email as measurable data, not just another message channel.
This episode makes a clear case that email is not just messaging but data, and that the inbox is where many small decisions are made quickly. Della Quist keeps returning to subject lines, opening behavior, and the gap between what email can show and what other channels can only…
Simon Owens interviews founders about the revenue mechanics behind their media businesses.
Colin and Samir break down creator-economy news, from OpenAI's TBPN deal to AI podcasts.
AI-era marketing tactics from operators testing what works next.
Mark DeGrasse interviews agency and marketing operators on the frameworks behind their case studies.
Cory Cotten-Potter interviews B2B sales and marketing founders on AI's reshaping of pipeline generation.
Kristina Halvorson interviews content strategists about how the work actually gets done.
AI pressure has moved from boardroom curiosity to the executive question.
The episode starts with a conference recap.
Jacqueline Friedman frames the episode around the build-versus-buy dilemma.
This episode interviews Jeff Lee from Calm about the role of marketing engineers in bridging data, engineering, and marketing to deliver profit and execution.
This episode features an interview with Eloise Gillespie, a leader in quantitative marketing and personalization, discussing how to ground AI and personalization in business reality to win CFO buy-in by focusing on ROI and long-term value.
The hosts discuss their upcoming MarTech conference in Melbourne, Australia, and share personal anecdotes about LinkedIn posts and emo phases.
This episode explores how consulting dependency in MarTech is a deliberate business model rather than a flaw, featuring insights from practitioner Satya Upadhyaya.
This episode interviews Linda Cereda, former global VP of marketing data at Nike, discussing her career, Martech tools, and a business-first approach to AI and marketing technology transformation.
Jacqueline Friedman and Juan Mendoza open with a pointed reaction to Della Quist’s Hot Seat appearance.
Jacqueline Friedman opens by framing email as the often ignored backbone of digital marketing and a rich data channel.
This episode debates the definition and evolution of CRM, comparing B2B and B2C perspectives with industry experts from Topcon and Klaviyo.
This episode features an interview with Josh Payne, CEO of Coframe, discussing living interfaces, AI collaborations, and the future of enterprise AI in marketing technology.