Built for fitness apps

You don't know why your users quit before day 14. Neither do we — yet.

Most fitness apps lose 70%+ of users before day 14. "Stay motivated" emails and streak reminders don't work because no one's tested which behavior actually predicts who keeps coming back. The 48-hour PAI analysis tests it — on your cohort, not an industry guess.

Book a 48-hour analysis → No commitment · No setup before the call
Fitness app churn
~70%
by day 14 · industry avg
Teams that test it
< 5%
most guess the milestone
Behaviors we'll test
15–25
against your retention
Time to insight
48h
from data access
◆ The honest framing

We won't tell you "fitness apps need a 3-day streak." Industry averages don't run your business.

Every fitness blog says the same things — connect a wearable, log 3 workouts, build a streak. Maybe one of those is your milestone. Maybe none of them is. The only way to know is to test them against your retention data. That's what the 48-hour analysis does. The output is a milestone — yours, specifically, with confidence bounds. If the analysis finds no strong signal, we tell you that too.

✕
We won't quote industry benchmarks at you
Your cohort, your milestone. Whatever the typical fitness app does is irrelevant once we run the analysis on yours.
✕
We won't pretend we already know your answer
Anyone selling you a "fitness app activation framework" before seeing your data is guessing. We'd rather earn the answer.
✕
We won't promise lift before we see results
If the analysis surfaces no strong milestone in your data, we tell you. You keep the report. We part as friends.
Why guessing fails

The activation milestone most fitness teams pick. Usually wrong.

These are the milestones fitness teams default to because they sound right. None of these has been tested against your retention data. Without that test, you're driving users toward a target you invented.

Myth 01 · The obvious one
"Complete your first workout"
High coverage, low lift. Most signups try one workout — and most of those still churn. It measures curiosity, not commitment.
Myth 02 · The streak one
"Log activity 3 days in a row"
Catches the already-committed users — who would have stayed regardless. Correlation, not causation. Tweaking emails won't manufacture this behavior.
Myth 03 · The setup one
"Connect wearable / set goal"
Onboarding completion masquerading as activation. Users who set up the app aren't the users who pay.
For your app

We don't guess. We test these against your retention.

For a fitness app, we typically test 15–25 candidate behaviors against your retention or trial-to-paid outcome. The winner is whatever has real lift + coverage in your cohort. Examples we test:

Completion
First workout finished
% complete in 24h / 72h
Consistency
Days active in week 1
2 / 3 / 4 days of activity
Streak
Consecutive active days
3 / 5 / 7 in a row
Depth
Total minutes of activity
≥60 / 120 / 180 min in 7d
Plan adherence
% of planned sessions done
≥50% / 70% of scheduled
Variety
Distinct workout types
≥2 / ≥3 categories tried
Logging
Weight / metric check-ins
≥2 entries in week 1
Wearable
Sync after first session
Apple Health / Garmin / Whoop
Social
Community engagement
post · comment · join group
Goal
Personal goal configured
target set in first 48h
Return
D2 / D7 return visit
at least one return session
+ 4–14 more
Whatever's in your data
behaviors unique to your product
We test all of them in parallel against 12-week retention (or your business outcome). The winner is the milestone — different for every product, never a formula, never an industry guess.
Methodology proof · not industry transfer

Here's what the method found for one edtech app.

We don't have a fitness case study yet — and we won't pretend we do. What we can show is the same analysis on a different vertical. The method transfers. The milestone won't be the same — your fitness app's signal will be specific to your cohort.

For Typesy, one early behavior retained users at 39.5% vs a 34% baseline — a 5.5pp lift on n=24,118 trials. The winning behavior was "complete ≥1 course within 4 days." Your fitness app's milestone will not be that. It will be a different behavior in your data — and we don't know which one until we run the analysis.

Candidate signal Retention Decision
Key action B in 14 days 37.9% 81% cov · drop
Key action A in 14 days 36.1% 82% cov · drop
Complete ≥1 course within 4 days 39.5% 79% cov · primary

n = 24,118 · 12-week window · p < 0.001 · baseline 34.0%

Whatever your fitness app's milestone is, it will surface the same way: candidate behaviors scored against retention, winner picked on lift + coverage + significance. Read the full case study →

12-week retention · Typesy · edtech
34%
Before
→
39.5%
After
Typesy Typing app · eReflect · method, not vertical transfer
After we find it

Every trial user gets a state. Every day.

Once the milestone is set, each user is classified daily based on where they are relative to it. The state determines which email they get — and whether anything goes at all.

NEW_SIGNUPdays 0–1
FIRST_WORKOUT_DONEday 1–3
MILESTONE_REACHEDon signal hit
STUCK_BEFORE_MILESTONEdays 3–7
HIGH_INTENTpaid early
CHURN_RISKno session 5+ days
DORMANT_3Dsilent 3 days
DORMANT_7Dsilent 7 days
TRIAL_EXPIREDpast trial end
How it works

Three steps. One milestone.

No new SDK, no schema changes, no rebuild. We read from the behavioral data you already capture — and you stay in control of every send.

01 · Connect
Amplitudeworkouts · streaks
Mixpanelsessions · plan
Firebaselog · biometrics
Read your existing fitness events
Workouts, sessions, plan adherence, wearable syncs — whatever you already track. Nothing added to your stack. Read-only DB access is the entire integration.
02 · Analyze
first_workout62%
streak_3d71%
days_active92%
wearable_sync48%
plan_adhere55%
Find your activation milestone
We score every candidate fitness behavior against your retention outcome. The winner becomes the milestone. 48 hours from data access to the report — your milestone, your data, your call.
03 · Drive + approve
Milestone reached · day 3sent
Stuck after workout 1 · d5staged
First workout donesent
No session 5dqueued
State-matched emails, your approval
Each user state gets its own template — drafted by us, approved once by you, then personalized at send time. Launches in monitoring mode. Nothing leaves the queue until you flip the switch.

Want the full 5-step detail? How it works →

FAQ for fitness founders

Objections we've heard from fitness teams.

We use Apple HealthKit / Garmin / Whoop — does that count as behavioral data?
Yes — as long as the sync events land in your DB or warehouse. We treat wearable-sourced workouts the same as in-app logs. We don't need a direct integration with the wearable provider, just the row in your data.
Our trials are 7 days, not 14. Does the analysis still work?
Yes. The lookback window is configurable. For 7-day trials we typically look at days 0–3 or 0–5. The milestone signal often emerges more cleanly with short trials because there's less time for users to drift.
We're freemium, not trial-based. Different cohort dynamics. Does this work?
Yes. We swap "trial-to-paid" for "free-to-paid" or "free-to-W12-retained" — whatever business outcome you care about. The method is the same.
January spike, summer dip — our retention is wildly seasonal. Can you handle that?
Yes. We bucket cohorts by signup month and compute matched-cohort retention, not raw averages. The January NYR spike and the summer churn cliff don't break the analysis — we account for both.
We track biometrics and health data. Are there HIPAA / data-residency concerns?
By default we work with anonymized user IDs only — no PII, no biometric values pass through analysis. If your data is HIPAA-covered, we keep PHI on your side: we get event counts and identifiers, not health values. DPA available.
What's the minimum cohort size?
Practical minimum is ~10,000 trial / free users in the last 90 days. Below that, the analysis can't reach statistical significance and we'd be guessing. We'll tell you on the call if you're under-scoped.
We already use Customer.io / Iterable / Braze. Do you replace it?
No. We find the milestone and generate the drafts. You can route sends through your existing ESP or have us handle delivery — whichever is less work for your team.
What if the analysis finds no strong milestone?
It happens. If no behavior shows meaningful lift and coverage, we tell you. You keep the report and the methodology. We part as friends. No obligation to continue.
◆ Get started

Find your fitness app's activation milestone.

We don't know what it is — yet. Neither do you. The 48-hour analysis tests every candidate behavior against your retention and tells both of us. No commitment. Free for qualified teams.

Book a 48-hour analysis →
30-min call No setup before 48-hour turnaround