Latest / Startup Stories with Fexingo: Conversations About Founders, Funding, and Building Companies from Zero / How ZoomInfo Built a B2B Data Empire on Public Records
Transcript
- Lucas: You know that feeling when you get a cold call and the salesperson already knows your job title, your company's revenue, and the exact technology stack you use? It's a little unsettling — and it's almost certainly powered by one company: ZoomInfo. Luna: Right. And it's a company that went from basically nothing to a public market cap of over six billion dollars. I think people don't realize how massive they are in the B2B data space. Lucas: Exactly. So today I want to tell the founding story — because it's a classic startup playbook, but with a very modern twist. The founder is a guy named Yonatan Stern. He started the company back in 2007, originally under a different name — it was called DiscoverOrg. Luna: And the key insight was that all this data was already public, right? It was just scattered across SEC filings, press releases, company websites, job postings. Lucas: Exactly. Stern realized that if you could scrape and structure that data — put it in one place — you could sell it to salespeople who wanted to know exactly who to call at a target company. The innovation wasn't the data itself. It was the aggregation. Luna: But here's the thing — a lot of people tried that. Why did ZoomInfo win? Lucas: Two reasons. First, they focused on accuracy from day one. They had a team of researchers who manually verified data — it wasn't just automated scraping. Second, they built a subscription model that was sticky. Companies pay tens of thousands of dollars a year and they don't churn because the data is the backbone of their sales process. Luna: And the numbers back that up. Before the IPO, they had over 95% gross retention rates. That's insane for a software company. Lucas: It is. And the IPO itself was a big moment. ZoomInfo went public in June 2020 — right in the middle of the pandemic. The stock priced at $21 a share, opened at $32, and by the end of the first day it was up 62%. That was a huge signal that the market saw data infrastructure as essential. Luna: And since then they've been on an acquisition spree. They spent about $700 million on a company called Clickagy, which added intent data — knowing when a company is actively researching a product. Lucas: Right. That made their product even more powerful. Now a salesperson doesn't just know who to call — they know when to call. And that's where the privacy questions start to get really interesting. Luna: Yeah, because intent data often comes from tracking cookies, IP addresses, browsing behavior. It's a step beyond just public records. Lucas: And that's the tension at the heart of ZoomInfo's business model. On one hand, they argue that everything they collect is publicly available or freely given. On the other hand, most people don't expect their job title and company info to be packaged and sold to strangers. Luna: There have been lawsuits. In 2020, they faced a class action over data privacy. And regulators in Europe have started to look more closely at B2B data brokers under GDPR. Lucas: So the company has to constantly balance growth with compliance. But here's what I find really interesting: their core product — the thing that made them a startup success — is remarkably simple. It's just a really well-structured database of who works where and what they do. Luna: They claim to have data on over 200 million business professionals and 60 million companies. That's more than LinkedIn's sales product. Lucas: And the key metric they track internally is something called 'data freshness.' They want to make sure that if someone changes jobs, that update is reflected in their database within days, not months. That's the moat. Luna: Because stale data is worse than no data. If you call someone who left the company two years ago, you look sloppy. Lucas: Exactly. So how do they maintain that freshness? They use a combination of automated web scraping and a team of about 400 researchers who manually verify changes. That's a big operational cost, but it's also a barrier to entry. Luna: Speaking of cost — we should mention that the show stays ad-free thanks to listener support. If this deep dive into startup models is useful to you, consider chipping in at buy me a coffee dot com slash fexingo. It's a small ask that keeps these conversations going. Lucas: Yeah, and we really appreciate it. It means we don't have to compromise on the content. Luna: Alright, back to ZoomInfo. Lucas, you mentioned the acquisition strategy — they've bought more than a dozen companies since going public. What's the biggest one? Lucas: The biggest is probably the $575 million they paid for Everstring in 2021, which added artificial intelligence to predict which companies are likely to buy. But the Clickagy deal for intent data was strategically important too. Luna: And they've also been integrating all these acquisitions into a single platform called the ZoomInfo Intelligence Platform. So now you can get firmographic data, technographic data, intent data, and even direct dial phone numbers all in one place. Lucas: That integration is key because it raises switching costs. Once a sales team is trained on ZoomInfo's interface and has built their workflows around it, they're not going to leave for a cheaper competitor that only does one thing well. Luna: It's the classic land and expand strategy. Start with a small team using the basic contact database, then expand to the whole sales organization and upsell them on intent data and analytics. Lucas: And that's why their average contract value has been growing. In their 2025 earnings, they reported that customers with over $100,000 in annual contract value grew by 20% year-over-year. Luna: But there's a ceiling, right? Not every company can afford a six-figure data subscription. Lucas: That's true. Their sweet spot is mid-market and enterprise B2B companies. But they also have a self-service product for smaller teams that starts at a few hundred dollars a month. So they're trying to cover the entire market. Luna: I want to go back to the privacy angle for a second. Do you think regulation could really hurt their business model? Lucas: It's the biggest risk. The California Consumer Privacy Act — CCPA — already lets people opt out of having their data sold. And if a federal privacy law passes in the US, it could impose similar rules nationwide. ZoomInfo's response has been to build opt-out tools and argue that their data is 'publicly available information,' which is often exempt from these laws. Luna: But that exemption might not hold. In Europe, the GDPR has a much narrower definition of what counts as publicly available. Lucas: Exactly. And that's why ZoomInfo has been cautious about expanding in Europe. They have a presence, but it's not their biggest market. The US is where the money is. Luna: So what's the takeaway for someone thinking about building a data-driven startup? Is the lesson 'find a public data source and structure it better'? Lucas: Partly. But I think the deeper lesson is about defensibility. Anyone can scrape public data. The hard part is making it accurate, keeping it fresh, and building a product that integrates into your customers' daily workflow. ZoomInfo did all three. Luna: And they did it without venture capital for the first several years. They were profitable early on because customers paid upfront for subscriptions. Lucas: That's a rare path. They only took outside funding later to accelerate growth. But the early discipline of building a product people would pay for — that's something a lot of startups skip. Luna: It makes you wonder: how many other goldmines are sitting in plain sight, in data we all assume is worthless? Lucas: That's the question every data entrepreneur should ask. And ZoomInfo proved the answer can be worth billions.