The marketing automation platform two college dropouts wished existed - so they built it. Now 4,000+ companies run on it.
It is the middle of a workday in San Francisco, and somewhere a marketing operations lead is doing what marketing operations leads do: fighting their software. Exporting a list. Re-importing it. Patching one tool to another with a brittle integration that breaks before lunch. Conversion exists because its founders watched that scene play out - in their own company first - and decided the tool was the problem, not the person using it.
Neil Tewari and James Jiao were roommates at UC Berkeley with a shared, slightly inconvenient conviction: they wanted to start a company more than they wanted a degree. They tried a few things first. NFT experiences inside Roblox. Billboards in Minecraft. An AI website builder. None of them stuck, but all of them needed marketing - and that is where the real problem found them.
To run their own growth, they signed up for HubSpot and started building extra automation on top of it. The bolt-ons worked better than the thing they were bolted onto. "It was originally for us," Tewari has said. The pivot was less a strategy than an admission: the tool they had built as scaffolding was more useful than the products it was supposed to support.
So they did the unglamorous work. One hundred and sixty interviews with marketing VPs at companies between 50 and 500 employees. The same complaint, over and over: more than half their time went to wrestling software instead of doing marketing. A family friend - the first believer, recruited during a car ride home from school - opened doors that became a $2M seed round. Tewari and Jiao dropped out at 19 and went all in.
What they built is an AI-native marketing automation platform. In plainer terms: a system that pulls together product data and CRM data, watches for buying signals, and lets a marketer send the right message at the right moment - without code, without a specialist, without the export-import shuffle. The pitch is not that AI writes your emails. It is that the whole machine, finally, knows what it is doing.
A brand-compliant builder so marketers ship campaigns without code or a design queue.
Personalization that pulls product-usage and firmographic data straight into the message.
Two-way syncing keeps contact, product and CRM data live across the whole stack.
A visual builder for multi-step journeys triggered by behavior and intent.
Audiences that rebuild themselves in real time from combined product and CRM signals.
Caught watching a TechCrunch Disrupt livestream in high school class and sent to the principal's office. Studied EECS at Berkeley, then left to build the company he kept daydreaming about.
Tewari's Berkeley roommate and technical co-founder. Together they cycled through a handful of products before the marketing tool they built for themselves became the business.
Revenue, by year - approximate, from public reporting. The Series A added $28M on top, bringing total raised to roughly $30M.
A family friend's first check grows into a seed round. The founders drop out at 19.
With HOF Capital, True Ventures, Antler and angels from OpenAI and the GTM world.
Roughly 90% of Conversion's customers migrated from legacy marketing automation tools. A short list of who is on board:
customer interviews before going all in.
the age both founders dropped out of Berkeley.
total raised across seed and Series A.
people on the team and hiring.
to reach near eight-figure ARR.
failed products before the winner.
Picture the marketing operations lead again. Same desk, same Tuesday. But the export-import shuffle is gone. The product data and the CRM data sit in one place. A buying signal trips, a workflow fires, a personalized email goes out - and nobody had to file a ticket with RevOps to make it happen. That is the whole point of Conversion, and it is a quietly radical one: the unglamorous middle of marketing should just work.
Conversion is not promising to replace the marketer. It is trying to give that person their afternoon back. Whether it can keep taking share from HubSpot, Marketo and Pardot while fending off the AI-native crowd is the open question of its next chapter. For now, the scene it set out to fix looks a little different - and 4,000 companies have decided that difference is worth switching for.