Sleepytime · Growth
iOS MAU
10,082
▲ 84% of 12,000
Android MAU
10,050
▲ 84% of 12,000
Web reach
79,574
building history
Web→App
0.9%
Homepage rank
5.2
▲ target 3
Auto-generated 2026-07-30T10:37:57.337Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗
PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 10,082
▲ 84% of 12,000
 2,233 DAU 22%
ANDROID 10,050
▲ 84% of 12,000
 1,922 DAU 19%
Web — reach2 · partial month3
79,574reach
8,653 DAU

Web → App conversion

GA4 ↗
0.9%
62d · latest 0.83%
daily · 1% target
Calculator users
407,181
Install clicks1
3,660 · 0.9%

iOS 1,975 · Android 1,782 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%
0/1,230
72.1%
6,200/8,595
0.0%
0/9,646
33.8%
54/160
Soundscapesga
4.5%
55/1,230
12.8%
1,097/8,595
9.9%
953/9,646
3.8%
6/160
Napsbeta
0.0%
0/1,230
6.3%
544/8,595
0.0%
0/9,646
9.4%
15/160
In-app librarybeta
0.0%
0/1,230
5.3%
453/8,595
0.0%
0/9,646
5.6%
9/160
Tipsga
0.2%
2/1,230
4.5%
385/8,595
0.6%
59/9,646
3.1%
5/160
Remindersrolling
0.2%
3/1,230
3.3%
283/8,595
0.0%
0/9,646
0.0%
0/160
Alarmsbeta
0.0%
0/1,230
1.3%
114/8,595
0.0%
0/9,646
2.5%
4/160
Bedtime app lock (Wind Down mode)beta
0.0%
0/1,230
0.0%
2/8,595
0.0%
0/9,646
0.6%
1/160
Mood trackerbeta
0.0%
0/1,230
0.0%
0/8,595
0.0%
0/9,646
0.0%
0/160
Home Screen widgets & Controlsbeta
0.0%
0/1,230
0.0%
0/8,595
0.0%
0/9,646
2.5%
4/160
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.* ↗