Sleepytime · Growth
iOS MAU
11,253
▲ 94% of 12,000
Android MAU
11,114
▲ 93% of 12,000
Web reach
105,836
building history
Web→App
0.87%
Homepage rank
4.9
▲ target 3
Auto-generated 2026-09-28T12:33:51.098Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗
PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 11,253
▲ 94% of 12,000
1,993 DAU 18%
ANDROID 11,114
▲ 93% of 12,000
1,688 DAU 15%
Web — reach2 · partial month3
105,836reach
8,009 DAU

Web → App conversion

GA4 ↗
0.87%
125d · latest 0%
daily · 1% target
Calculator users
833,597
Install clicks1
7,221 · 0.87%

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%
0/708
67.6%
6,855/10,136
0.0%
0/10,889
82.7%
62/75
Soundscapesga
4.4%
31/708
14.5%
1,472/10,136
10.6%
1,153/10,889
9.3%
7/75
Tipsga
0.1%
1/708
5.0%
504/10,136
0.6%
64/10,889
2.7%
2/75
In-app librarybeta
0.0%
0/708
2.8%
283/10,136
0.0%
0/10,889
4.0%
3/75
Alarmsbeta
0.0%
0/708
1.7%
171/10,136
0.0%
0/10,889
14.7%
11/75
Napsbeta
0.0%
0/708
1.0%
101/10,136
0.0%
0/10,889
5.3%
4/75
Remindersrolling
0.0%
0/708
0.1%
11/10,136
0.0%
0/10,889
0.0%
0/75
Bedtime app lock (Wind Down mode)beta
0.0%
0/708
0.0%
1/10,136
0.0%
0/10,889
4.0%
3/75
Mood trackerbeta
0.0%
0/708
0.0%
0/10,136
0.0%
0/10,889
0.0%
0/75
Home Screen widgets & Controlsbeta
0.0%
0/708
0.0%
0/10,136
0.0%
0/10,889
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.* ↗