How WeMind grew trial-to-paid conversion 1.4×.
Every WeMind signup now gets a live screen-sharing onboarding call. Week-one activation went from 49% to 70%. And stayed there.
Software for therapists. Users who are anything but tech people.
WeMind is self-serve software for therapists, founded by Sander Kamphuis. It sells into English-speaking markets: first the US, and by now with real traction in Australia too.
Their users are excellent clinicians and not tech people. A new trial signup is someone who wants to help patients, not learn software. And they sign up whenever their day allows: before the first client, after the last one, on weekends.
The onboarding call closed customers. Almost nobody booked it.
“When I get a potential customer on an onboarding call, we close them. But only about 1 in 10 new users ever books that call.”
That is the whole problem in two sentences. The call converts, the calendar does not scale, and 9 out of 10 users never get the one thing that works.
More founder calls was not the answer either. Signups arrive at every hour, and the users who need the call most are the least likely to book one. By the time a calendar invite fits both sides, the trial has gone cold.
80% of the calls happen on evenings, nights and weekends.
Therapists are with clients all day. They meet new software when the day is over: 9 PM on a Tuesday, 6 AM before the first session, Saturday morning.
A booking link offering next Thursday loses them. Nimbia picks up right then, every time.
Saturday, 9:41 AM
“Is there any way to talk to someone today? I know it’s the weekend. I’d like to have this working before Monday.”
WeMind trial user, before Nimbia.
Nimbia learned their product. Then a head-to-head test.
When Sander saw an early prototype of Nimbia’s screen-sharing voice agent, his reaction was immediate: this would work for his users. People who want to be shown, on their own screen, by someone who talks.
Getting there was our work, not theirs. We trained Nimbia on WeMind’s knowledge base and on recordings of Sander’s own onboarding calls, then kept tuning it on the patterns from real conversations. WeMind’s part was pressure-testing: the CEO, the people running product and engineering, QA and devs jumped on calls and poked holes.
Then we put it to the test: a month-long, randomized A/B test of Nimbia against the traditional onboarding product WeMind was already paying for. Same signup flow, same period, split down the middle.
Activation: 49% to 70%. Conversion: 1.4×.
In the A/B test, 68% of Nimbia’s signups activated in week one, against 45% for the traditional product, and trial-to-paid conversion came out 1.4× higher. When the month was up, WeMind did not renew the other product. 100% of their new signups get a Nimbia call now.
The lift held after the test ended. Across every signup since Nimbia went live, week-one activation runs at 70%, up from 49% in the months before. And converting 1.4× more trials means exactly what it sounds like: WeMind is growing 40% faster.
This is Nimbia on WeMind.
One agent, four jobs.

Sander Kamphuis
Founder, WeMind
“That’s how we run today. A month of A/B testing against our old onboarding product, then we dropped it. Every new signup gets a Nimbia call now.”
“Every trial user is a real conversation now. We learn what they want, we see who’s serious, and we know exactly what to say when we follow up.”
“Signups spike on Sunday evening. Nimbia just picks up. Nobody on our team works nights for it.”
“The call transcripts read like a roadmap. We hear the exact words users have for what’s missing.”
How we measured, and what we are not claiming.
Numbers like these deserve their footnotes, so here they are.
“1.4×” comes from the A/B test: trial-to-paid conversion in the Nimbia arm against the onboarding product WeMind already used, a month long, randomized over the same signup flow, measured with the same per-user window. Same signups converting 1.4× as often is what “growing 40% faster” means.
It is the conservative number: the before/after comparison, every signup since Nimbia went live against the months before, is larger. But before/after absorbs everything else that changed, so we quote the randomized test. The same test is where the activation win comes from: 68% against 45% week-one activation.
What we are not publishing: WeMind’s raw conversion rates and absolute user counts. Those are theirs. And the usual caveat applies: marketing was not frozen while any of this ran. No field experiment is that clean.
What a WeMind onboarding call sounds like.
This is a voice call, not a chatbot. Nimbia talks. The therapist talks back, interrupts, asks the thing she actually cares about. And when clicking is faster than explaining, Nimbia drives the screen.
Conversation based on a real, anonymized transcript.