Making Sense of Martech

Juan Mendoza
Making Sense of Martech

Making sense of Martech (MSoM) is an irregular set of interviews with some of the most interesting people working in marketing and technology. This podcast is an extension of The Martech Weekly newsletter by going deeper into the most popular topics covered there. You can subscribe at themartechweekly.com

  1. 19 NOV

    TMW Case Study #004 | Building a better data foundation by HP

    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.

    38 min
  2. 29 MAR

    TMW Case Study #001 | Scaling Martech QA with computer vision and robots

    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.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    1h 26m
  3. 23 JAN

    #66 | Tim Mason & Sarah Jarvis on the case for Omnichannel

    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

    1h 13m
  4. 2 JAN

    #65 | Rohit Maheswaran on the shifting sands of attribution

    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.

    49 min
  5. 19/12/2023

    #63 | Chris Baker on the promise and peril of Generative AI for marketing

    A conversation with Chris Baker. In this episode we’re joined by Chris Baker. Chris is the founder of Totem, a brand strategy, marketing, data and innovation consultancy with a focus on the Chinese market. Totem helps global brands break into China and Asia and works with marketing leadership on digital and brand strategy.  In a recent presentation of Etail Asia, Chris gave one of the clearest views on how generative AI is impacting the marketing industry. In this conversation, we’ll talk about his perspectives on Generative AI from looking at how it affects small and large businesses to how it's impacting content quality, and how you should build a defensible brand strategy in an environment where anyone can make content and scale it up effortlessly with Generative AI… 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 Chris on ⁠⁠LinkedIn⁠.⁠ Timestamps (0:16) Guest intro (05:19) Marketing data opportunities in China and Asia (19:27  ) Role of marketers and rise of generative AI (26:10) Adoption of Generative AI in Entreprise and SME  (37:24) trust in the uprising technologies for say mission critical work (50:14) Defensible brand strategy in the new era of content creation powered by generative AI

    1h 1m
  6. 14/11/2023

    #62 | Lauren Maffeo on designing data governance for good

    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

    1h 3m

Ratings & Reviews

5
out of 5
4 Ratings

About

Making sense of Martech (MSoM) is an irregular set of interviews with some of the most interesting people working in marketing and technology. This podcast is an extension of The Martech Weekly newsletter by going deeper into the most popular topics covered there. You can subscribe at themartechweekly.com

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