Sleepytime · Growth
iOS MAU
11,279
▲ 94% of 12,000
Android MAU
10,993
▲ 92% of 12,000
Web reach
98,770
building history
Web→App
0.84%
Homepage rank
4.9
▲ target 3
Auto-generated 2026-10-01T12:18:38.815Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗
PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 11,279
▲ 94% of 12,000
2,752 DAU 24%
ANDROID 10,993
▲ 92% of 12,000
2,064 DAU 19%
Web — reach2 · partial month3
98,770reach
11,030 DAU

Web → App conversion

GA4 ↗
0.84%
128d · latest 0%
daily · 1% target
Calculator users
859,873
Install clicks1
7,223 · 0.84%

iOS 3,662 · Android 3,749 install-click intent by store4

App feature adoption

GA4 ↗

% of each platform × channel MAU5 · beta = pre-GA cohort6 · faint bar = small base

FeatureAndroidiOS
GAbetaGAbeta
Streaksrolling
0.0%
0/709
66.5%
6,749/10,153
0.0%
0/11,002
81.3%
61/75
Soundscapesga
4.5%
32/709
13.3%
1,351/10,153
10.3%
1,129/11,002
8.0%
6/75
Tipsga
0.3%
2/709
4.3%
433/10,153
0.5%
56/11,002
1.3%
1/75
In-app librarybeta
0.0%
0/709
2.7%
270/10,153
0.0%
0/11,002
4.0%
3/75
Alarmsbeta
0.0%
0/709
1.7%
172/10,153
0.0%
0/11,002
14.7%
11/75
Napsbeta
0.0%
0/709
1.0%
102/10,153
0.0%
0/11,002
5.3%
4/75
Remindersrolling
0.0%
0/709
0.1%
11/10,153
0.0%
0/11,002
0.0%
0/75
Bedtime app lock (Wind Down mode)beta
0.0%
0/709
0.0%
1/10,153
0.0%
0/11,002
4.0%
3/75
Mood trackerbeta
0.0%
0/709
0.0%
0/10,153
0.0%
0/11,002
0.0%
0/75
Home Screen widgets & Controlsbeta
0.0%
0/709
0.0%
0/10,153
0.0%
0/11,002
5.3%
4/75
Notes & methodology · sources
  1. Install clicks = App Store / Play badge clicks (the web join_group event) — intent to install, NOT a verified install. True attribution lives in the store campaign tags the buttons pass (Apple ct=, Play referrer=), not in GA4.
  2. Web is top-of-funnel reach (a volume — calculator traffic from search); the app is engagement (a ratio — DAU/MAU). Different units; they never share a scale.
  3. Web GA4 export began 2026-05-25 (GRO-20), so web "monthly reach" is still a partial month and not yet comparable to a full-month target.
  4. iOS and Android install-click counts are distinct-user signals that can exceed the total (some clicks fire on both stores / lack store attribution) — they are not a partition of the total.
  5. Feature adoption = distinct 28-day users firing the feature's events ÷ that platform×channel MAU. Beta cohorts are small (iOS-beta ≈ 73 MAU), so a beta % rests on a tiny base — read the users/MAU shown in each cell.
  6. We test features in TestFlight / Play testing before GA. iOS App Store production is 0.7.0 and predates streaks/reminders/library/alarms, so ~0% in GA is rollout stage, not rejection. Driven by reports.feature_event_map × reports.app_version_stage (GRO-74).
  7. Targets are seeded placeholders — the source of truth is reports.targets, edited only by Growth (GRO-71).
  8. Search rank = average position across queries (lower is better); shown as the current homepage position vs target, not a daily trend.

Dig into the raw data: Google Analytics ↗ · Search Console ↗ · BigQuery reports.* ↗