Making Sense of Martech

"No one's data is perfect. I think the biggest challenge though ends up being more people, because what often happens is that companies of a certain scale, marketing orgs of a certain scale, oftentimes we start adding on products or new verticals and we hire marketers to be in charge of those specific products or verticals, and they work in these silos and isolation of each other." - Natalie Miles Fuerst 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. 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.   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.   Episode Breakdown 00:01:35 - Rapid Fire: Night Owl, Favorite Martech Tool (It's not an ESP), and Vibe Coding. 00:03:43 - Professional Admiration: Why Credit Karma's marketing cohort was a special "incubator." 00:05:33 - Epic Fail: The compliance email, the phone number, and the sex hotline.  00:09:20 - Reversing a Major Martech Decision: When a personalization tool isn't worth the price. 00:11:29 - Scaling to Billions of Emails: The challenge of data hygiene vs. the people problem. 00:15:54 - Composable CDPs: Deciding between real-time bvs. batch data. 00:20:20 - Predictions: The future of composability and why "CDP" is a fuzzy term. 00:26:02 - The Age-Old Questions: Build vs. Buy in the age of Generative AI. 00:31:48 - Aligning Customer Engagement: How to define a North Star Metric that drives LTV. 00:35:53 - The Dream Martech Stack: Natalie's top picks for a high-volume, modern comapny. 00:39:25 - 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)   Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions and confessions. We may feature you in an upcoming episode. Hope you enjoyed the episode!

"I think a CRM is not a tool, it's a discipline, it's a system minimization of how we manage relationships across time channels and teams." - Karla Vince 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. Episode Breakdown 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. Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions and confessions. We may feature you in an upcoming episode!  

"If you empower your team to make their own decisions, they're just more motivated—and that drives great outcomes." - Adrian Rohr 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.”   Episode Breakdown 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. Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions and confessions. We may feature you in an upcoming episode!

“We see the future of digital experiences as living — personalized and self-improving 24/7.” - Josh Payne 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 Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions. We may feature you in an upcoming episode.

In this episode of Office Hours, Jacqueline Freedman and Juan Mendoza unpack the overwhelming success of their podcast launch, share details about the upcoming Martech World Forum London 2025, and dive into AI adoption, vendor dependency, and the evolving world of customer data platforms (CDPs). 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 & Highlights 00:00 - Podcast Launch Success 02:11 - MarTech World Forum London 2025 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   Ways to Connect Subscribe to the podcast: Making Sense of Martech Join the conversation: LinkedIn – Juan Mendoza | LinkedIn – Jacqueline Freedman Register for Martech World Forum 2025: Event Info & Tickets   Submit your confession or question for the next episode: Submit Here

“Design thinking isn’t just about aesthetics - it’s about solving the right problems with empathy.” - Eric Miao 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   Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions, we may feature you in an upcoming episode.

"The most important conversations about your career are happening when you're not in the room." - Jessica Vogol 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   Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions—we may feature you in an upcoming episode.   

"The secret is you don't let the old man in." - Sam Allen, quoting Clint Eastwood 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 00:00 – Introduction & Guest Welcome 00:43 – Rapid Fire Questions 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 20:02 – Navigating Budget Constraints 21:07 – Standing Out in a Competitive Market 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 37:23 – Podcast Recommendations & Closing Remarks   Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions, we may feature you in an upcoming episode.  

Martech is in upheaval: welcome to your must-listen podcast to understand the current state of the Martech industry.  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.  Subscribe to Making Sense of Martech wherever you get your podcasts. Leave a review, share with your team, and send us your questions - we may feature them in an upcoming episode. 

Are you overwhelmed by the ever-changing world of marketing technology? Searching for clarity, insight, and insider knowledge? Welcome to Making Sense of Martech, the official podcast from The Martech Weekly, hosted by Juan Mendoza and Jacqueline Freedman. Each week, we break down the tools, strategies, and trends shaping the future of marketing. You’ll hear candid conversations with top industry leaders in The Hot Seat, and get practical answers to real-world challenges in our Office Hours format.  What to expect every Wednesday: The Hot Seat: Jacqueline interviews leaders at the forefront of Martech, surfacing unfiltered insights and deep analysis on the biggest shifts in the space. Office Hours: Juan and Jacqueline tackle the latest news in our industry and questions from our subscribers. This show delivers the same trusted research and clarity you’ve come to expect from The Martech Weekly. It’s designed to cut through the noise, save you time, and help you lead with confidence. Subscribe wherever you get your podcasts to stay ahead of the curve—and don’t be shy. We’d love your feedback or ideas for what to cover next. Links & Resources: The Martech Weekly Website: https://themartechweekly.com/ The Martech Weekly on LinkedIn: https://www.linkedin.com/company/the-martech-weekly/

From third-party to first-party: Building a better data foundation What do you think of when I say “tech start-up?” Those words probably conjure up thoughts of a small team working out of the founder’s garage somewhere in Palo Alto, Sunnyvale, or Cupertino. The reason that image springs to mind is because that is how a bunch of the biggest and most influential tech companies started out over the years. But who started this trend? Well, it’s not a plucky start-up anymore, but the answer is Hewlett Packard. Way back in 1939, Bill Hewlett and David Packard founded HP in a one-car garage at 367 Addison Avenue, Palo Alto, which is now adorned with a plaque reading: The Birthplace of Silicon Valley. A lot has changed since then: Far from their fledgling days when they produced audio oscillators (which Disney used to test the sound equipment for the movie ‘Fantasia’!), HP is now a multinational IT mainstay. The original HP split into two companies in 2015: Hewlett Packard Enterprise for enterprise products and services, and HP Inc for its personal computer and printer business. The split between its B2B and B2C customers was reflected in its data architecture. Like many legacy businesses, HP found itself in a situation where it had separate platforms and data stores for commercial and consumer data managed by a plethora of different stakeholders, leading to a severely siloed data landscape. Over the last few years, HP has overcome these challenges by bringing together its fractured data landscape into a modern, composable data architecture befitting its history as the origin of the Silicon Valley mythology. To understand how HP went about this transformation, The Martech Weekly sat down with Kumar Ram, Global Head of Marketing Data Sciences, and Luis Alonzo, Head of Customer Data Strategy and Engineering.  Kumar and Luis’s responses have been edited for clarity and congruency.

Welcome to our very first TMW case study! Kicking off this series, we’re featuring Rappi, the Latin American super-app that connects consumers with merchants that sell a wide variety of products, and drivers that can bring those products to their doorstep. The three-sided business is not only a logistical challenge, but also a Martech challenge. Rappi’s array of marketing campaigns and offers, driven by a sophisticated deep-linking strategy, is crucial to its success. It did, however, lead to the need for an impossibly large amount of QA to ensure the successful delivery of customer experience workflows, ensuring that would-be customers don’t fall off their buying journey at any point, from clicking on an ad through to landing in the app and making a purchase. Leading the Martech and Adtech practice at Rappi is Satya Ramachandran, who brings over 12 years of Martech experience to the table, having previously worked as a data engineer building distributed databases.  In this case study, we’ll walk through how Satya not only scaled the Martech QA process using computer vision and robots, but turned QA into a profit-driving initiative with champions throughout the business, rather than just a cost center. Satya’s responses have been edited for clarity and congruency. Listen on⁠⁠⁠ Apple⁠⁠⁠,⁠⁠⁠ Spotify⁠⁠⁠,⁠⁠⁠ Google⁠⁠⁠, and ⁠⁠⁠everywhere else.⁠⁠⁠ Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Making Sense of Martech's very own Juan Mendoza on looking ahead to the rest of 2024

A conversation with Tim Mason & Sarah Jarvis from Eagle Eye. In this episode we’re joined by Tim Mason and Sarah Jarvis . Tim is the CEO of Eagle Eye, a leading loyalty and personalization platform and a top 10 TMW 100 global innovator. Tim has spent more than 30 years building loyalty strategies in retail, including working as the Deputy CEO and CMO of Tesco UK PLC. Sarah Jarvis is a senior marketer, also at Eagle Eye, and a regular contributor to Forbes UK. Both are the authors of the recently released 2nd edition of Omnichannel Retail: How to Build Winning Stores in a Digital World. In this episode, we delve into the multifaceted concept of Omnichannel, exploring its definition, and we hear Tim and Sarah’s case for its importance. We also discuss the ethical considerations businesses face in the pursuit of omniscient customer knowledge, offering insights into responsible practices amid growing data privacy concerns. Additionally, we explore successful examples of companies implementing omnichannel strategies and examine the challenges organizations encounter when introducing omnichannel to their businesses, along with strategies to overcome internal hurdles. Listen on⁠⁠ Apple⁠⁠,⁠⁠ Spotify⁠⁠,⁠⁠ Google⁠⁠, and ⁠⁠everywhere else.⁠⁠ Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Tim Mason on LinkedIn and Sarah Jarvis also on LinkedIn

A conversation with Rohit Maheswaran. In this episode we’re joined by Rohit Maheswaran, the co-founder and Chief Product Officer of Lifesight a marketing measurement platform offering a suite of attribution, MMM (Mixed Media Modelling), and incrementality tools. We tackle the shifting sands of attribution and how marketers are using different models and tools as the ways of last click and multi-channel attribution fade away and more marketers are embracing a back-to-the-future style of measurement using experimentation and MMM. Listen on⁠ Apple⁠,⁠ Spotify⁠,⁠ Google⁠, and ⁠everywhere else.⁠ Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Rohit on LinkedIn.

A conversation with Cory Munchbach. In this episode we’re joined by Cory Munchbach. Cory is the CEO of BlueConic, a leading Customer Data Platform. In this episode we talk about Cory’s recent journey to becoming the CEO of the company, what it really looks like to lead the vision and strategy of a private equity backed company, growing and scaling a product right in the middle of one of the hottest categories in the Martech industry, and her outlook for the coming year in the CDP category. Listen on Apple, Spotify, Google, and everywhere else. Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Cory on ⁠LinkedIn⁠.

A conversation with Lauren Maffeo. In this episode we’re joined by Lauren Maffeo. Lauren is an award-winning service designer working full-time at Steampunk where she serves the U.S. federal government. She is a founding editor of Springer’s AI and Ethics Journal and an adjunct lecturer of Interaction Design at The George Washington University. Lauren has written for Harvard Data Science Review, Financial Times, and The Guardian. She has also presented her research on bias in AI at Princeton and Columbia Universities, Google DevFest DC, and Twitter’s San Francisco headquarters and is the author of Designing Data Governance from the Ground Up. In this episode we talk about the societal impact of data governance, the link between human-centered design and managing data in a company, the anti-patterns in data management, the importance of culture in breaking down data silos, balancing transparency with security, the link between data quality and misinformation and many other topics… See timestamps below. Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Lauren on ⁠LinkedIn⁠. Timestamps Time Topic (0:11)  Guest intro (10:50)  Incentives to data the practice of data governance/management (21:47) The anti-patterns in data management (27:27) Discussion around techno optimism (34:20) the importance of culture in breaking down data silos (44:06) Balancing transparency with security (50:34) The Link between data governance and misinformation (53:33) Importance of data quality & governance on commerciality such as generative AI

A conversation with Ari Paparo. In this episode we’re joined by Ari Paparo the famous host of the very popular Marketecture Podcast and the CEO and founder of LaunchScience, a newly launched (pardon the pun) startup in the category of process management for GTM and product teams. Prior to these two new ventures, Ari founded and exited Adtech platform Beeswax to Comcast and worked stints at Google, Nielsen, and AppNexus. In this conversation, we speak about the overlap between the Adtech and finance industry, antipatterns in product launches, the fool's errand of software businesses doing media, the surprising second-order effects hitting Adtech in the shift to a more private web, and how Ari feels about all the negative press directed towards the Adtech industry. See timestamps below. Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Ari on LinkedIn. Timestamps Time Topic (0:21)  Guest intro (10:50)  The overlap between the Adtech and finance industries (17:59) Launch Science and anti patterns in product launches (38:35) The fool’s errand of software businesses doing media (50:56) The surprising second-order of effects hitting Ad tech Industry in the shift to a more private web (59:53) Ari’s thoughts on the negative press towards ad tech industry

A collaboration with Kerry Guard. In this episode, we’ve got something different for you the MSOM audience with our very own Juan Mendoza being interviewed by Kerry Guard from tea time with tech marketing leaders!  In this episode, we cover things ranging from audience capture through to building a media company. What you do with an audience and the value of it. We also talked about latest trends in marketing technology, tracking GDPR and the ever present issue of a more private web and how markets are reacting to it.    Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Kerry on ⁠LinkedIn⁠.

A conversation with Eric Seufert. In this episode, I’m joined by Eric Seufert to talk about his thesis-slash-catch phrase “everything is an ad network.” Eric is a successful entrepreneur, investor and media founder who is focused on the intersection of mobile apps and Adtech. Eric worked a number of Adtech roles in Europe which led him to founding and exiting analytics platform for mobile developers Agamemnon. He is now investing in companies in the Adtech space with Heracles Capital and runs the deeply respected and always interesting Mobile Dev Memo. In this episode, we talk about Adtech branching out into all kinds of new commerce, retail, and platform media channels, Europe’s role in the development of mobile apps and gaming, what will happen to the web if Eric’s catchphrase “everything is an ad network” becomes a reality, privacy and the threat of walled gardens, whether or not programmatic has a future, media power laws, the 1% of ad networks and many other topics… Go here for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠show notes, links, and resources.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Juan Mendoza on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Listen on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Apple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠everywhere else.⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can find Eric on LinkedIn.