Hull

Roman Dardur started as a marketing agency founder in Paris around 2011, working with movie studios that wanted to rebuild online communities for each film launch. He realized there was a fundamental inefficiency: studios would ask him to collect customer data through Facebook games, quizzes, and contests, only to end up with an Excel file of emails they'd use once and discard. Roman saw that successful companies online were collecting and leveraging customer data intelligently—personalizing experiences based on user behavior. This observation sparked a vision: what if you could build a product that solved this problem at scale?

In 2012, Roman sold his agency ownership and joined Techstars in Boulder with his co-founders. They set out to build an ambitious, end-to-end solution: identity verification APIs, gamification blocks for building contests, identity resolution, unified databases, audience building, retargeting via email and Facebook notifications, activity streams, transactional emails—essentially trying to solve the entire pipeline in one product. "We had everything," Roman recalls. "We had identity management, identity resolution, gamification, API, activity streams, transactional emails, quizzes, chats, comments. Way too much."

For four years (2012-2016), they bootstrapped, managed to pay themselves and a small team, and got some traction. But Roman knew something was wrong. They were building complex technology for a market that didn't seem to exist. The sunk cost fallacy kept them pushing—one more feature, one more push, surely it will work. But deep down, they knew it wasn't solving a real problem at scale. By late 2016, they were one month away from shutting down the company.

Then came a pivotal lunch meeting. Roman met with Guillaume Caban, a growth marketer who looked at their product and was brutally honest: "I don't care about the gamification, comments, likes, and ratings. But this data collection and segmentation you're doing—that's something I would need and use heavily." Guillaume explained that building audiences in his marketing automation platform took 24 hours for millions of records. Hull's approach showed the same thing in real-time as you typed.

Inspired, Roman and his team built a prototype in five days (leveraging the data engine they'd already built). When Roman showed it to Guillaume, the timing was perfect and terrible: Guillaume had just accepted a VP of Growth role at Segment. But he connected Roman with his replacement at Mention, and that connection led to their first customer. Mention had real problems: migrating their CRM to Salesforce, building audiences in real time instead of daily, and getting their customer data where it needed to be. They were willing to suffer through early-stage bugs because the need was genuine. "They knew we were just starting out, but they had that need," Roman says. "We made it happen, and they became a customer."

As for pricing, Roman tried charging $1,000/month based on value rather than cost. It worked. So they doubled it for the next customer—it still worked. They doubled it again. "Lesson is you're always undercharging," he notes.

Early attempts at Facebook and LinkedIn advertising failed spectacularly. Roman was casting too wide a net, generating unqualified demos, and burning money. "Everything that could go wrong went wrong," he admits. "Bad targeting, too wide, too expensive." That channel didn't work, and he's at peace with it.

What did work was word-of-mouth and a clever growth lever Roman calls the "reveal loop." When an anonymous visitor lands on Hull's website, they use ClearBit's API to identify the company behind the IP address. If that company isn't a current customer or active prospect, they pull five to ten marketing/sales ops people from that company and their contact details. They then send a hyper-personalized cold email through Outreach or SalesLoft. The magic: the email arrives days after the person visited their site. Open rates are incredible, and reply rates often include "It's funny, we were just on your website yesterday."

Roman estimates this approach drives nearly 50% of their revenue—not exactly "cold" outreach, but warm enough to be highly effective.

Brand and positioning also became critical. Roman invested heavily in the perception of Hull as a quality, expert-driven product. Their blog looks like a magazine. Their messaging emphasizes hard work and invisible layers of sophistication—not "triple your leads in two days," but "we've seen hundreds of data pipelines and we know how to do this right." This positioning attracted the exact customers who needed them and could appreciate the value.

By 2023, Hull has grown to approximately 100 customers, each paying at least $1,000 per month (some significantly more), giving them at least $1.2M in annual recurring revenue. They've raised $5 million in funding. Roman implemented a clever ABM approach to fundraising: he identified the VCs he wanted to work with, then approached companies in their portfolios, closed them as customers, and only then approached the VCs. "When five or ten of the companies you've invested in already like the product, the conversation becomes pretty interesting pretty fast," he notes.

The biggest lesson? Roman spent 2.5 to 3 years not pivoting due to sunk cost fallacy. "If you have the wrong product, sometimes no matter the amount of work and energy and love and care that you put, it's just not going to work." He now recommends founders read *The Mom Test* to cut through confirmation bias and listen to the brutal truths people won't tell you unless you ask the right way.

Today, Hull has found its market: mid-market B2B SaaS companies ($5-250M revenue) that need to sync customer data across their entire go-to-market stack in real-time. Roman's vision of treating customers as unified people instead of fragmented leads, prospects, users, and customers—obvious to him from day one—is finally becoming industry standard.