Sleepytime · Growth
iOS MAU
9,733
▲ 81% of 12,000
Android MAU
9,778
▲ 81% of 12,000
Web reach
30,180
building history
Web→App
0.69%
Homepage rank
5.3
▲ target 3
Auto-generated 2026-06-02T19:09:13.348Z · BigQuery reports.* · no human touched this page

Active users

GA4 ↗

App is the product — judged on stickiness (DAU/MAU). Web is reach, a volume.2

PlatformMAU · vs 12kDAU · 30 daysStickiness
IOS 9,733
▲ 81% of 12,000
 2,336 DAU 24%
ANDROID 9,778
▲ 81% of 12,000
 1,788 DAU 18%
Web — reach2 · partial month3
30,180monthly reach (7d so far)
9,483 DAU · since 05-25

Web → App conversion

GA4 ↗

Web is the funnel, the app is the conversion1 — install-badge clicks ÷ calculator users.

0.69%
7-day aggregate · latest day 0.66%
target 1%
daily conversion, 7 days
Calculator users
46,245
Install clicks1
320 · 0.69%

Install-click intent by store4: iOS 199 · Android 129 (separate signals, not a split of 320)

App feature adoption

GA4 ↗

Tested in beta before GA6 — ~0% in GA is rollout stage, not rejection. Read each % against its base5 (cell shows users/MAU; faint bar = small cohort).

FeatureAndroidiOS
GAbetaGAbeta
Streaksrolling
0.0%
0/8,811
79.0%
2,582/3,267
0.0%
1/9,385
35.6%
26/73
Soundscapesga
8.9%
783/8,811
9.7%
317/3,267
9.9%
933/9,385
12.3%
9/73
Remindersrolling
2.0%
175/8,811
5.4%
175/3,267
0.1%
6/9,385
9.6%
7/73
Tipsga
1.1%
98/8,811
1.7%
57/3,267
0.5%
44/9,385
5.5%
4/73
In-app librarybeta
0.0%
0/8,811
0.2%
5/3,267
0.0%
0/9,385
5.5%
4/73
Alarmsbeta
0.0%
0/8,811
0.0%
0/3,267
0.0%
0/9,385
1.4%
1/73
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 a partial month (≈7 days) and is 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 (lower is better); only 3 days of site-wide history exist, so no trend line is drawn.

Dig into the raw data: Google Analytics ↗ · Search Console ↗ · BigQuery reports.* ↗