01/Virtual care · mental health · fitness

Growth for virtual care and consumer health.

Rx telehealth, mental health, fitness, longevity. Whether the product is a clinician on a video call or a habit in an app, we turn first-week behavior into retained patients and subscribers, and ship the experiments to get there.

02/The pain

Where growth gets hard.

Delivering care
01

The growth playbook every other subscription runs is a federal case in yours. BetterHelp and GoodRx paid FTC settlements for ad pixels on health funnels. Retargeting, lookalikes, and clean attribution only come back when measurement moves server-side and runs on consent.

02

Your activation metric is a completed first visit, and everything upstream fights it: a 30-question intake, an eligibility check, a first opening five days out. Most of the cohort you paid for is gone before a clinician ever sees them.

03

Half your churn felt better and left. The other half stopped improving and quietly gave up. Those need opposite saves, a discount serves neither, and the signal for which patient is which is already sitting in your refill and show-rate data.

Building habits
04

Activation here is a built habit, not a click. Most health teams can't say which first-week action predicts a 90-day subscriber, so they optimize the wrong moment.

05

January triples your signups and March deletes them. The resolution cohort is the most expensive to acquire and the fastest to churn, and bidding on installs instead of conversions makes it worse.

06

The copy that would convert best is the copy legal won't approve. Outcome claims need substantiation, so you're left with vague aspiration that retains worse than the specific result users came for.

03/The surfaces

Where we go deepest here.

Personalization
paywall timing against the first completed session or visit
Lifecycle
behavior-triggered messaging that reads like care, not marketing
Retention
annual mix, streak saves, refill adherence, winback by churn type
Analytics
intake drop-off, show rates, the first action that predicts 90-day retention
Paid
state-aware spend, server-side conversions that keep health data out of ad platforms
04/Example experiments

Experiments we'd run here.

If you deliver care
01

Cut the intake form to what a clinician needs before the first visit, and move every other question to after booking.

02

Put the next available appointment time on the landing page, and measure signup lift when it reads under 24 hours.

03

Send paid traffic only to states with open provider capacity, and stop buying signups you're not licensed to serve.

04

Replace the ad pixel with server-side conversions built on consented events, and win retargeting back without the FTC risk.

05

Split winback by churn type: a check-in visit for patients who stopped improving, a maintenance plan for patients who feel better.

If you build habits
06

Diagnose which first-week action best predicts 90-day retention, then rebuild onboarding around it.

07

Move the paywall to fire after the first completed session, not the end of onboarding.

08

Default the annual plan during goal-setting, where intent is highest. Annual retains close to 2.4x monthly.

09

Replace fixed Day 3, 7, and 30 emails with messages triggered by real behavior, like a dropped streak.

10

Test a "we saved your streak" grace day instead of resetting progress to zero.

05/Request access

Now taking design partners.

A small number of founding partners. If you're product-led and somewhere between $1M and $25M ARR, we'd like to talk. Limited spots.

We reply within 48 hours. No automated sequences.