The ultimate guide to Martech | Austin Hay (Reforge, Ramp, Runway)

The ultimate guide to Martech | Austin Hay (Reforge, Ramp, Runway)

Lenny's PodcastAug 13, 20231h 24m

Austin Hay (guest), Lenny Rachitsky (host)

Definition and scope of MarTech as a cross-functional disciplineWhen to hire MarTech and where it should sit organizationally (B2C vs B2B/B2B2C)Day-to-day responsibilities of a MarTech leader (systems, contracts, data flows)Designing modern B2C and B2B stacks: CDPs, warehouses, reverse ETL, CRMsAttribution strategies in a privacy-first, post-IDFA environment (MTA, MMM, probabilistic)Hiring and interviewing for MarTech roles: skills, red/false flags, questionsCore frameworks and philosophies: tools-as-problem-solvers, PPS, build-and-buy, thinking gray

In this episode of Lenny's Podcast, featuring Austin Hay and Lenny Rachitsky, The ultimate guide to Martech | Austin Hay (Reforge, Ramp, Runway) explores mastering MarTech: Systems, stacks, and strategy for modern growth Lenny interviews Austin Hay, a leading MarTech expert, about what marketing technology is, when companies need it, and how it fits into product and growth organizations. Austin frames MarTech as product management for internal systems and tools, sitting at the intersection of engineering, growth, marketing, data, and ops. They dive into org design, hiring profiles, attribution in a post-IDFA world, and the evolution of B2C and B2B/B2B2C stacks around CDPs, warehouses, and reverse ETL. Throughout, Austin shares concrete stack recommendations, decision frameworks, and practical tactics for building future-proof, cost-efficient growth infrastructure.

Mastering MarTech: Systems, stacks, and strategy for modern growth

Lenny interviews Austin Hay, a leading MarTech expert, about what marketing technology is, when companies need it, and how it fits into product and growth organizations. Austin frames MarTech as product management for internal systems and tools, sitting at the intersection of engineering, growth, marketing, data, and ops. They dive into org design, hiring profiles, attribution in a post-IDFA world, and the evolution of B2C and B2B/B2B2C stacks around CDPs, warehouses, and reverse ETL. Throughout, Austin shares concrete stack recommendations, decision frameworks, and practical tactics for building future-proof, cost-efficient growth infrastructure.

Key Takeaways

Treat MarTech as product management for internal systems, not just tool ownership.

Great MarTech leaders focus on understanding problems, users (internal teams), and long-term system design, rather than just buying and wiring up tools. ...

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Centralize MarTech around growth in B2C, and around RevOps or platforms in B2B/B2B2C.

In B2C, MarTech’s primary customer is growth/marketing, so it usually lives under a CMO/head of growth; in B2B and B2B2C, overlapping needs of marketing, sales, and CS often mean MarTech belongs in RevOps, business technology, or a platform/product org, and the ‘right’ answer is context-dependent.

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Design attribution and tracking for multi-touch from day one, even if you start simple.

Set up your website tracking to capture referrers, all UTMs, and ad network IDs; store both first- and last-touch values on users and events so you can later support MTA or MMM without needing to ‘go back in time’ for missing data.

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Embrace the warehouse + reverse ETL pattern when you have sufficient data maturity.

Traditional CDP-centric stacks still make sense for earlier-stage or low-eng orgs, but as warehousing (e. ...

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Use the “problem–people–system” (PPS) framework before changing tools.

Instead of jumping straight to a tooling decision, first clarify the underlying problem, identify all stakeholders and constraints, and only then design or modify the system; this avoids costly, tool-driven decisions that don’t actually solve the core issue.

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Optimize for build-and-buy, not build-versus-buy.

The strongest stacks often come from buying a tool to get ~90% of the way, then building the last 10% on top for differentiation; this preserves vendor leverage, accelerates time-to-value, and avoids burning engineering cycles reinventing generic infrastructure.

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Hire MarTech leaders who are intellectually curious, technically scrappy, and tool-agnostic.

The best MarTech people are self-taught or ex-engineers who can read APIs, write basic code, learn any tool, and resist defaulting to the last tool they used; they excel at cross-functional persuasion and long-range systems thinking more than pure tool expertise.

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Notable Quotes

Marketing technology is a product manager whose specific role and focus is the system or the platform.

Austin Hay

Tools are just meant to solve problems.

Austin Hay

Most people think marketing technology is just third-party tools, but actually it’s designing, architecting, and building on top of those tools.

Austin Hay

From 2010 to 2020, we had the golden years of deterministic matching… You can’t do that anymore.

Austin Hay

There is no right answer for where MarTech should live, especially in B2B. It’s very case-specific.

Austin Hay

Questions Answered in This Episode

How do you decide the exact moment when a company should shift from an ad-hoc, ‘village’ approach to tools to a dedicated MarTech function?

Lenny interviews Austin Hay, a leading MarTech expert, about what marketing technology is, when companies need it, and how it fits into product and growth organizations. ...

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Given today’s privacy constraints, what’s the practical threshold for when a company should invest in MMM versus sticking with enhanced MTA and probabilistic models?

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How should a B2B2C company architect data flows between CDP, warehouse, HubSpot, and Salesforce to avoid duplicate truth sources and attribution chaos?

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What early technical decisions around tracking and schema design cause the most pain three years later, and how can teams avoid them from the start?

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In practice, how do you quantify and communicate the financial ROI of a major systems change (e.g., consolidating CDPs or migrating email platforms) to executives?

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Transcript Preview

Austin Hay

... from 2010 to 2020, we had the golden years of deterministic matching, where, you know, it was very easy to run an ad and understand with precision who installed the app. Maybe you didn't know their name, but you actually would know their IDFA and you could tie that to their PII. You can't do that anymore. So what that means is, like, these ad networks are becoming more complex, sophisticated, and interesting right at the same time that it's harder for marketers to really understand how they're spending money. And, and so I, like, I'm, I'm paying a lot of attention to, like, how marketers make decisions with probabilistic data, because most of the work that I'm doing now is actually saying, "Well, given that we don't have determinist data about a per- person audience or where somebody came from, how can I find other information that will create a model for 30% of the population? And we can use that to extrapolate to 100."

Lenny Rachitsky

(instrumental music) Welcome to Lenny's Podcast, where I interview world class product leaders and growth experts to learn from their hard won experiences building and growing today's most successful products. Today, my guest is Austin Hay: Austin is one of the smartest people in the world on the field of MarTech, AKA Marketing Technology. He's advised companies like Notion, Airbnb, Walmart, Postmates, Robinhood, even Peet's Coffee and Mars on their MarTech strategy and tactics. He's currently head of Marketing Technology at Ramp. Before that, he was VP of Business Operations at Runway. Before that, he was VP of Growth at mParticle, and the fourth employee at the unicorn Branch Metrics. He's also a teacher at Reforge on this very topic of MarTech. In our conversation, Austin explains what exactly is MarTech, how it fits into your growth organization, when you need to hire a MarTech person, and what to look for, plus his favorite interview questions, also his favorite tools, frameworks, team structures, and emerging platforms that he's most excited about. This episode is for anyone who's responsible for growth and is curious about ways to optimize your approach and how marketing technology fits into that. Enjoy this episode with Austin Hay after a short word from our sponsors. Today's episode is brought to you by OneSchema, the embeddable CSV importer for SaaS. Customers always seem to want to give you their data in the messiest possible CSV file, and building a spreadsheet importer becomes a never ending sink for your engineering and support resources. You keep adding features to your spreadsheet importer, but customers keep running into issues. Six months later, you're fixing yet another date conversion edge case bug. Most tools aren't built for handling messy data, but OneSchema is. Companies like Scale AI and Pave are using OneSchema to make it fast and easy to launch delightful spreadsheet import experiences, from embeddable CSV import to importing CSVs from an SFTP folder on a recurring basis. Spreadsheet import is such an awful experience in so many products. Customers get frustrated by useless messages like, "Error on line 53," and never end up getting started with your product. OneSchema intelligently corrects messy data so that your customers don't have to spend hours in Excel just to get started with your product. For listeners of this podcast, OneSchema's offering a $1,000 discount. Learn more at oneschema.co/lenny. This episode is brought to you by Mixpanel. Get deep insights into what your users are doing at every stage of the funnel at a fair price that scales as you grow. Mixpanel gives you quick answers about your users from awareness, to acquisition, through retention, and by capturing website activity, ad data, and multi-touch attribution right in Mixpanel, you can improve every aspect of the full user funnel. Powered by first party behavioral data instead of third party cookies, Mixpanel's built to be more powerful and easier to use than Google Analytics. Explore plans for teams of every size and see what Mixpanel can do for you at mixpanel.com/friends/lenny. And while you're at it, they're also hiring, so check it out at mixpanel.com/friends/lenny. (instrumental music) Austin, thank you so much for being here. Welcome to the podcast.

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