Sleepytime · Growth
iOS MAU
11,359
▲ 95% of 12,000
Android MAU
11,105
▲ 93% of 12,000
Web reach
103,341
building history
Web→App
0.85%
Homepage rank
4.9
▲ target 3
Auto-generated 2026-09-30T12:21:15.092Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗
PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 11,359
▲ 95% of 12,000
2,836 DAU 25%
ANDROID 11,105
▲ 93% of 12,000
2,081 DAU 19%
Web — reach2 · partial month3
103,341reach
11,410 DAU

Web → App conversion

GA4 ↗
0.85%
127d · latest 0%
daily · 1% target
Calculator users
851,439
Install clicks1
7,223 · 0.85%

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%
0/694
66.3%
6,615/9,980
0.0%
0/10,826
81.1%
60/74
Soundscapesga
4.6%
32/694
13.2%
1,314/9,980
10.0%
1,083/10,826
8.1%
6/74
Tipsga
0.3%
2/694
4.2%
419/9,980
0.5%
56/10,826
1.4%
1/74
In-app librarybeta
0.0%
0/694
2.6%
263/9,980
0.0%
0/10,826
4.1%
3/74
Alarmsbeta
0.0%
0/694
1.7%
168/9,980
0.0%
0/10,826
14.9%
11/74
Napsbeta
0.0%
0/694
1.0%
100/9,980
0.0%
0/10,826
5.4%
4/74
Remindersrolling
0.0%
0/694
0.1%
11/9,980
0.0%
0/10,826
0.0%
0/74
Bedtime app lock (Wind Down mode)beta
0.0%
0/694
0.0%
1/9,980
0.0%
0/10,826
4.1%
3/74
Mood trackerbeta
0.0%
0/694
0.0%
0/9,980
0.0%
0/10,826
0.0%
0/74
Home Screen widgets & Controlsbeta
0.0%
0/694
0.0%
0/9,980
0.0%
0/10,826
5.4%
4/74
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.* ↗