Listen Labs raised $69M after a viral billboard stunt. The product is actually good.

Alfred Wahlforss was desperate. His startup, Listen Labs, needed to hire over 100 engineers. Competing against Zuckerberg’s $100 million offers wasn’t going to work. So he spent $5,000 — a fifth of his entire marketing budget — on a billboard in San Francisco. It displayed what looked like gibberish: five strings of random numbers.

Those numbers were AI tokens. Decoded, they led to a coding challenge: build an algorithm that acts as a digital bouncer for Berghain, the Berlin nightclub famous for rejecting almost everyone at the door. Thousands attempted it within days. 430 cracked it. Some got hired. The winner got an all-expenses-paid trip to Berlin.

That stunt has now paid off in a big way. Listen Labs announced a $69 million Series B funding round led by Ribbit Capital, with participation from Evantic and existing investors Sequoia Capital, Conviction, and Pear VC. The round values the company at $500 million and brings total capital raised to $100 million. In nine months since launch, they’ve grown annualized revenue by 15x to eight figures and conducted over one million AI-powered interviews.

“When you obsess over customers, everything else follows,” Wahlforss told VentureBeat. “Teams that use Listen bring the customer into every decision, from marketing to product, and when the customer is delighted, everyone is.”

I’ve been watching the AI market research space for a while, and this is one of the few companies that actually seems to understand the problem. Traditional market research is broken in ways that most people don’t realize.

The problem with surveys and focus groups

Listen’s platform replaces the tired choice between quantitative surveys and qualitative interviews. Surveys give you statistical precision but miss nuance. Interviews give you depth but don’t scale. Neither works well.

Wahlforss put it bluntly: “Essentially surveys give you false precision because people end up answering the same question… You can’t get the outliers. People are actually not honest on surveys.”

He’s right. I’ve filled out enough surveys where I just clicked whatever to get the reward. The alternative — one-on-one human interviews — gives you depth and follow-up questions, but you can’t do that with thousands of customers.

The platform works in four steps: create a study with AI assistance, recruit participants from Listen’s global network of 30 million people, let an AI moderator conduct in-depth interviews with follow-up questions, and get results packaged into executive-ready reports with key themes, highlight reels, and slide decks.

What sets Listen apart is the use of open-ended video conversations instead of multiple-choice forms. “In a survey, you can kind of guess what you should answer, and you have four options,” Wahlforss said. “Oh, they probably want me to buy high income. Let me click on that button versus an open ended response. It just generates much more honesty.”

The dirty secret of market research: rampant fraud

The $140 billion market research industry has a dirty secret: fraud is everywhere. Listen found that building a reliable panel of 30 million people meant confronting what Wahlforss called “one of the most shocking things that we’ve learned when we entered this industry.”

“Essentially, there’s a financial transaction involved, which means there will be bad players,” he explained. “We actually had some of the largest companies, some of them have billions in revenue, send us people who claim to be kind of enterprise buyers to our platform and our system immediately detected, like, fraud, fraud, fraud, fraud, fraud.”

Listen built a “quality guard” that cross-references LinkedIn profiles with video responses, checks consistency across answers, and flags suspicious patterns. The result: “People talk three times more. They’re much more honest when they talk about sensitive topics like politics and mental health.”

Emeritus, an online education company using Listen, reported that about 20% of their survey responses were fraudulent or low-quality before. With Listen, that dropped to almost zero. “We did not have to replace any responses because of fraud or gibberish information,” said Gabrielli Tiburi, Assistant Manager of Customer Insights at Emeritus.

Real customers, real results

The speed advantage is real. Traditional customer research at Microsoft could take four to six weeks to generate insights. “By the time we get to them, either the decision has been made or we lose out on the opportunity to actually influence it,” said Romani Patel, Senior Research Manager at Microsoft.

With Listen, Microsoft gets insights in days, often hours. They used it to collect global customer stories for their 50th anniversary. Sweetgreen and Chubbies are also on board. This isn’t just hype.

Is it perfect? No. AI interviews still can’t match a skilled human moderator for deep emotional nuance. But for speed, scale, and fraud prevention, it’s a massive improvement over what exists. The $69 million round and $500 million valuation reflect that.

Wahlforss’s billboard stunt got attention, but the product is what will keep it.