Sheetly data

what people actually do

·

what we've actually made

Straight from RevenueCat. Gross is what people paid; proceeds is what lands after Apple's cut and tax.

from first open to paying

distinct devices · Pro = accounts created in range

platforms

devices seen

free vs pro

all accounts

came back

active on 2+ days

per day

distinct devices per day

active devices

scans

play sessions

where the onboarding loses people

Distinct devices that saw each screen. Scan steps only exist for people who chose to scan their own page.

the fork

scan now vs later

notifications

primer then OS prompt

who comes back, and when

Devices that return, cohorts by the week they first opened the app, and the hours people actually use it.

came back

active on 2+ distinct days

days active

per device

weekly cohorts

by the week a device was first seen · share of that week's devices

by hour

by weekday

events

who signs up, and who pays

The onboarding quiz answers, split by what people did afterwards.

the paywall

Who sees it, what they pick, and where they leave.

opened from

source

wanted to

intent

variant

for A/B later

plan selected

last pick per device

purchase tapped

by plan

purchase results

store round-trip

scan-or-later fork

same devices, earlier

inside the product

Scans, playback, the coach and the account plumbing.

scanning

Outcome
Scans per device

playback

most played

top scores

library size

scores per user

the coach

sign-up method

sign-up failures

by error

email verification

login shortcut

welcome screen

ratings & feedback

what people told us

Straight from the in-app feedback sheet.

every event

Raw counts by name, and the live tail.

by name

click a column to sort

recent

newest first · 👤 has account · ⊘ excluded

devices, and which ones are you

Flip the switch on your own test phones and every number on every page drops them. Stored in this browser only.

platforms

devices seen

models

OS versions

app versions

most active