✶Explainer04:30
What Martech Actually Is (and How It's a PM Role)
Austin defines marketing technology as an amorphous, cross-functional discipline sitting between product, growth, engineering, and marketing. He frames the martech person as essentially a product manager whose product is the marketing systems and platforms themselves. Crucially, martech isn't only third-party tools; as companies scale it includes first-party homegrown systems built on top of them.
- Martech lives at the crossroads of product, growth, engineering, and marketing
- Think of a martech person as a PM whose product is the system/platform
- It spans both third-party tools AND first-party homegrown solutions
- The role's shape is a function of company size and stage
“marketing technology is like this very amorphous cross-functional discipline that lives at the crossroads of product and growth and engineering and marketing”
#martech#definitions#product-management#growth
✶Explainer25:30
Martech vs Marketing Ops: The Key Distinction
Austin distinguishes marketing technology from marketing operations. Martech has 'tech' in it, so it's usually an engineer or someone with an engineering background architecting and building systems. Marketing ops is semi-technical work like setting up campaigns, sending email blasts, debugging, and running SQL queries, and you typically see the mar-ops function in B2B.
- Martech is an engineering-based role: architecting and building systems
- Marketing ops is semi-technical: campaigns, email blasts, SQL, analytics
- Mar-ops people may be systems/business analysts, not engineers
- The mar-ops function shows up most often in B2B
“marketing technology has Tech in it so it's usually an engineer or somebody with an engineering background doing that function marketing operations is usually not…”
#martech#marketing-ops#roles#b2b
✶Explainer31:30
How Cheap Warehousing Killed the Classic CDP Stack
Austin walks through the b2c stack 'then and now.' From ~2016-2020 the CDP sat in the middle collecting user data and piping it to ad networks, email, and analytics tools. Around 2020 the cost of warehousing dropped sharply, making it cheap to store everything in something like Snowflake, which gave rise to reverse ETL and let companies effectively build their own CDP.
- 2016-2020: the CDP was the centralized hub of the b2c stack
- Around 2020 the cost of ownership of warehousing became much cheaper
- Cheap Snowflake-style storage enabled the rise of reverse ETL
- Simplicity-first businesses buy a CDP; cutting-edge eng teams use reverse ETL
“the cost of ownership of warehousing became much cheaper”
“now you can actually build your own CDP and lots of businesses already have”
#cdp#reverse-etl#data-warehouse#stack
✶Explainer52:00
The End of the Deterministic Matching 'Golden Years'
Austin describes how ad attribution has fundamentally shifted. From 2010 to 2020 marketers enjoyed deterministic matching, tying an install to a device's IDFA and PII with precision. That era is over, so ad networks have become more complex while marketers understand their spend less. He now spends most of his time on probabilistic modeling that extrapolates from ~30% of a population to 100%.
- 2010-2020 were the 'golden years' of deterministic matching
- You could tie an app install to an IDFA and PII with precision
- That's no longer possible; opt-in rates make it very hard
- Probabilistic matching/attribution is now a core skill marketers need
“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…”
“so so probabilistic matching and probabilistic attribution I feel like is a skill set that more marketing technologists and marketers should just like get familiar…”
#attribution#privacy#probabilistic#ad-networks
✶Explainer54:00
Why Your Paid Traffic Now Shows Up as Organic
Austin explains two forces making web attribution harder. Browsers are stripping URL parameters, so a growing share of paid clicks arrive with their tracking truncated and get counted as organic. Separately, cookie blockers keep users anonymous throughout their journey until they log in, so you lose the pre-conversion source data entirely.
- Browsers truncate URL parameters, so paid clicks get miscounted as organic
- Third-party cookie blockers keep users anonymous until they log in
- Anonymous journeys mean you lose pre-conversion source information
- Blocked signups 'might as well be organic'
“browsers now are stripping out those URLs we talked about so you're just seeing a bigger and bigger percentage of people being counted as organic…”
#attribution#cookies#browsers#tracking