Sleepytime · Growth
iOS MAU
10,134
▲ 84% of 12,000
Android MAU
9,977
▲ 83% of 12,000
Web reach
78,047
building history
Web→App
0.85%
Homepage rank
5.2
▲ target 3
Auto-generated 2026-06-21T09:47:48.790Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗
PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 10,134
▲ 84% of 12,000
 1,898 DAU 19%
ANDROID 9,977
▲ 83% of 12,000
 1,468 DAU 15%
Web — reach2 · partial month3
78,047reach
7,866 DAU

Web → App conversion

GA4 ↗
0.85%
21d · latest 1.31%
daily · 1% target
Calculator users
143,698
Install clicks1
1,217 · 0.85%

iOS 698 · Android 561 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%
0/6,945
76.7%
5,061/6,599
0.0%
0/9,774
32.8%
41/125
Soundscapesga
5.9%
413/6,945
13.6%
897/6,599
10.3%
1,009/9,774
16.0%
20/125
Remindersrolling
2.5%
176/6,945
8.1%
534/6,599
0.0%
0/9,774
9.6%
12/125
Tipsga
1.0%
70/6,945
2.0%
133/6,599
0.6%
59/9,774
6.4%
8/125
In-app librarybeta
0.0%
0/6,945
0.1%
5/6,599
0.0%
0/9,774
5.6%
7/125
Alarmsbeta
0.0%
0/6,945
0.0%
0/6,599
0.0%
0/9,774
4.8%
6/125
Mood trackerbeta
0.0%
0/6,945
0.0%
0/6,599
0.0%
0/9,774
0.8%
1/125
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.* ↗