At our last company, a hotel-booking product called Malobo, we had a problem every founder will recognize. Visitors came. They searched. Some even signed up. Then they didn’t book.
These people needed nurturing, so we did what everyone does: we bought tools. PostHog for analytics, Intercom for chat, Google Analytics because of course. Every nurture tool turned out to be the same machine — rigid flowcharts. If the user clicked this button, use that template, swap these words. At a previous company it took us months to build one solid nurture series. By the time we finished, it was already outdated.
“Customers can always tell when something is a template, when something is not made for them.”
Here is the pattern we kept watching. Someone gets excited by an ad or a video. They land on your site with real intent. Intent has a short life. If nothing useful happens in that window, they leave, find a competitor, or simply lose the tab.
We call this the Latency Gap: the visitor has intent, and the site does not act in time, and the intent dies. The economics make it worse — most traffic costs money. You already paid for that visitor. Research backs the feeling: when RevenueHero requested demos from 1,000 B2B companies in 2024, 63% never replied — and the ones that did took 29 hours on average.
“You already paid for them. Most of our traffic comes and costs money.”
The deeper problem is structural. Chat history lives in one tool, email in another, the clickstream in a third. There is no way, with traditional tools, to combine them into one picture of one customer. Meanwhile the customer remembers everything they did — and when your site asks them for information they already gave, they can feel that you don’t care.
This is not a niche complaint. Gartner found marketing teams use just 33% of the martech features they pay for — while the stack eats a quarter of the marketing budget. In our own experience, basic website chat alone ran about $600 a month — and when we asked for setup help, the answer was: you set it up yourself, we have the docs.
Before vTilt was a product, it was a prototype bolted onto PostHog. We pulled the full event stream, had AI summarize each user’s behavior, and let AI write and time the follow-up emails — a different message and a different moment for each person.
Conversions started happening. Activity grew into the best revenue curve we had seen. The prototype proved the thesis, and the thesis is simple: AI doesn’t sound intelligent unless you give it the right context. vTilt exists to build that context — every click, scroll, chat, and reply, compressed into something AI can act on.
“The magic is asking questions that were very hard to get answers for in the past. Our context is user behavior at scale, and that context together with AI feels like magic.”
Analytics must adapt to your product, never the other way around. Tools that make you plan every question up front show you only what you expected to see. vTilt records everything first, so you can ask new questions later and see the real sessions behind each answer.
Every customer interaction should be personal. Not "Dear FirstName" personal — actually built from what that person did, wanted, and worried about. The signals are already there. They start with the ad the visitor clicked.
And it should be helpful, never intrusive. No pop-up ambushes. vTilt’s job is to help customers accomplish their goals, and to look like a native part of your site while doing it.
V is a funnel — it looks like one. Tilt is what we do to it: tilt it in your favor. We built vTilt for the founder, the marketer, the CMO — the person who doesn’t have an analytics team and shouldn’t need one.
“vTilt is that conversion expert. vTilt is your CMO co-founder.”
— The vTilt team
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