Product Analytics · H1 2026
A read on growth, in-app engagement, and the web reservation funnel — from the raw event data.
The headline
Growth
Engagement
Avg app screentime · Firebase
The two stories compound. The base grew +201% and average time per member rose +39% — more people, each more engaged. Reinforced by 1.73M chat sessions and 615K messages sent, holding steady at ~290K sessions a month.
The screens members live in
Time on screen
| Screen | Views | Median | Session length mix |
|---|---|---|---|
| Newsletter | 108,411 | 15s | |
| Lab | 21,024 | 11s | |
| Reservation flow | 40,393 | 8s | |
| Studio | 32,290 | 3s | |
| Reservations tab | 72,956 | 4s | |
| Home | 400,139 | 3s |
Spotlight
Reconcile before the deck ships. The survey may be paused, but the newsletter itself is one of the highest-engagement surfaces in the app. Worth checking with Connor & Henry so it isn't mislabeled as dormant.
Labs & PhenoAge
PhenoAge is a "wow" surface. A biological-age readout adopted by 1,750 members with an 88% result rate is exactly the kind of differentiated, sticky feature to lead a product story with.
How new members arrive
Landing pages — views & clicks
Booking funnel
4,546 frustrated clicks site-wide (dead + rage) — 2,491 on /medical alone. The clearest lever to lift completion.
Chat
This is the case for AI in 2026. A day/night support team is fielding ~290K sessions a month. Even a modest deflection rate on this volume is a real, quantifiable headcount and cost story worth modeling next.
What it adds up to
Home routes to five pillars — Newsletter, Reservations, Studio, Lab, Immunization — with chat as the constant. Engagement is deep and growing.
The web reservation site brings new members in, converting ~14% of starts. Cutting the dead- and rage-click tax is the top 2026 lever.
~290K support sessions a month is the clearest place to model AI deflection into real cost and headcount savings.