Why Town Kills 30% of Signups to Hit 15% Paid Conversions

Key Takeaways

• Town forces users to connect both their work email and calendar before entering the product, accepting an immediate 30% drop-off at signup.
• That forced integration gives the agent enough context to suggest high-value tasks, driving a 15%+ conversion rate from free users to paid subscriptions.
• Enterprise AI products hold superior net revenue retention compared to consumer tools because automating business workflows ties software directly to revenue generation.
• Ad-funded monetization ruins autonomous agents because commercial ad incentives corrupt the integrity of the decisions the agent makes for the user.

The Friction Filter: Why 30% Drop-Off Is a Feature

Most growth leads obsess over smoothing onboarding. They remove fields, delay permissions, and offer empty sandbox environments to keep signup numbers high. Town co-founder and CEO Jean-Denis Grèze took the exact opposite path.

Town makes email and calendar access mandatory on step one. If a user refuses, they cannot use the app. “Our approach is more like, listen, you have to connect email and calendar. You cannot use our product if you don't do those things. But if you do those things, we can do all this magic for you,”▶ 55:18 Grèze explained to Harry Stebbings.

That wall kills roughly 30% of top-of-funnel traffic immediately. Yet it powers an industry-leading paid conversion rate above 15%.

An AI agent without context cannot take meaningful action. Without seeing your inbox and schedule, an assistant is reduced to a generic chatbot waiting for manual prompts. By demanding full context upfront, Town can immediately suggest real tasks without requiring the user to configure anything. As Grèze put it: “The insight behind the product was if you ask people upfront to connect their email and their calendar, you can know enough about them that you can suggest tasks that AI can do for them.”▶ 54:22

Enterprise Expansion vs. Consumer Churn

Consumer AI agents like Instinct face a hard ceiling on user monetization. Consumers have strict budgets for personal utilities and resist high monthly retainers. Enterprise software operates under entirely different math.

When software automates critical business workflows, it directly generates revenue or cuts operational payroll. That gives B2B AI products immense pricing elasticity. As the product proves reliability across more tasks, the account expands automatically.

“On the business side when I create something that generates value for the business they make more money and then they want more of that thing,”▶ 48:51 Grèze noted. “Over time in the work setting AI will be used to do more and more for people. So I think the long-term potential for growing net revenue retention and driving more revenue per user is extremely large.”▶ 48:04

This dynamic also rules out ad-supported business models for serious AI agents. An assistant booking travel, scheduling meetings, or buying tools cannot serve two masters. “People are going to want assistants that are theirs, that are not being polluted by outside incentives like ads into the trajectories that they give you,”▶ 1:08:21 Grèze said. The moment an agent prioritizes a sponsored sponsor over the best operational outcome, user trust evaporates.

What to Do With This

Audit your product onboarding this week and identify every optional integration step. If your core product value requires user data to work, make that connection mandatory on screen one. Accept the immediate drop in raw signups and measure your 30-day paid conversion rate on the qualified cohorts that remain.