Attributed - A podcast by Dreamdata
Jun 16, 2026 · 53 min · 11 segments
B2B buyers are increasingly turning to AI tools like Claude, ChatGPT, and Gemini long before they ever visit a company website. So what does that mean for marketers? In this episode of Attributed…
Mark GoloboyGuest
Steffen HedebrandtHostLauraHostAnd Mark, before we get into all the, like, the, the specific stuff, how, how did you get into the craft of marketing?

So I was, I was doing the technology work underlying marketing, um, 20 years ago when we had to build large scale data warehouses to do the segmentation.

And, um, I was doing that for marketing and operations and finance and other departments in the company.

Um, and I got hired into Monster, which was the largest job site at the time, um, uh, in the world.

Um, and Monster, um, wanted to rebuild their marketing around the technology that I knew how to do.

And if I fell into marketing, and then I went on to lead operations and analytics and data governance for Monster, and that was really my introduction to marketing.
What was it you got right with the Monster technology or the tech stack at Monster back then?

So it was before we used the term ABM, and the best thing that we did was focus on our top 500 customers.

We were, we built Salesforce while I was there, but at the time it was Siebel and, and later C- uh, Salesforce, that, um, we looked across all of our accounts, found outliers that were related to our accounts but weren't, um, naturally collecting, and we created hierarchies of accounts, um, that then the sales rep could look across, sell against, and we could market to.
[laughs] That sound, it sounds so, uh, straightforward, uh, so, so natural to do it that way.
Did you then go on to buy, like, some of these, uh, ABM platforms to, to do the job afterwards?
And Mark, before we get into all the, like, the, the specific stuff, how, how did you get into the craft of marketing?

So I was, I was doing the technology work underlying marketing, um, 20 years ago when we had to build large scale data warehouses to do the segmentation.

And, um, I was doing that for marketing and operations and finance and other departments in the company.

Um, and I got hired into Monster, which was the largest job site at the time, um, uh, in the world.

Um, and Monster, um, wanted to rebuild their marketing around the technology that I knew how to do.

And if I fell into marketing, and then I went on to lead operations and analytics and data governance for Monster, and that was really my introduction to marketing.
What was it you got right with the Monster technology or the tech stack at Monster back then?

So it was before we used the term ABM, and the best thing that we did was focus on our top 500 customers.

We were, we built Salesforce while I was there, but at the time it was Siebel and, and later C- uh, Salesforce, that, um, we looked across all of our accounts, found outliers that were related to our accounts but weren't, um, naturally collecting, and we created hierarchies of accounts, um, that then the sales rep could look across, sell against, and we could market to.
[laughs] That sound, it sounds so, uh, straightforward, uh, so, so natural to do it that way.
Did you then go on to buy, like, some of these, uh, ABM platforms to, to do the job afterwards?
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