Sleepytime · Growth
iOS MAU
11,339
▲ 94% of 12,000
Android MAU
11,157
▲ 93% of 12,000
Web reach
107,286
building history
Web→App
0.86%
Homepage rank
4.9
▲ target 3
Auto-generated 2026-09-29T14:57:16.921Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗
PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 11,339
▲ 94% of 12,000
2,772 DAU 24%
ANDROID 11,157
▲ 93% of 12,000
2,167 DAU 19%
Web — reach2 · partial month3
107,286reach
11,288 DAU

Web → App conversion

GA4 ↗
0.86%
126d · latest 0.02%
daily · 1% target
Calculator users
842,602
Install clicks1
7,223 · 0.86%

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%
0/705
66.9%
6,700/10,021
0.0%
0/10,833
82.4%
61/74
Soundscapesga
4.5%
32/705
13.6%
1,358/10,021
10.2%
1,105/10,833
8.1%
6/74
Tipsga
0.1%
1/705
4.4%
442/10,021
0.5%
58/10,833
2.7%
2/74
In-app librarybeta
0.0%
0/705
2.7%
269/10,021
0.0%
0/10,833
4.1%
3/74
Alarmsbeta
0.0%
0/705
1.7%
166/10,021
0.0%
0/10,833
14.9%
11/74
Napsbeta
0.0%
0/705
1.0%
97/10,021
0.0%
0/10,833
5.4%
4/74
Remindersrolling
0.0%
0/705
0.1%
11/10,021
0.0%
0/10,833
0.0%
0/74
Bedtime app lock (Wind Down mode)beta
0.0%
0/705
0.0%
1/10,021
0.0%
0/10,833
4.1%
3/74
Mood trackerbeta
0.0%
0/705
0.0%
0/10,021
0.0%
0/10,833
0.0%
0/74
Home Screen widgets & Controlsbeta
0.0%
0/705
0.0%
0/10,021
0.0%
0/10,833
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.* ↗