Roblox analytics sample lab
Try the LaunchBlip digest on made-up games before you sign in. Change the game, the window of complete days and the update marker, and watch the same rules LaunchBlip uses read the numbers.
Sample data, not customer results Every number on this page is invented for teaching. No real game, player or customer data is shown, and nothing you type here is sent or saved.
An invented mid-size game. Players rose after an update, then the latest complete day fell sharply, so a sample drop alert fires.
Sample date: Oct 30 · Data for Oct 27 · Last 14 complete days: 485 average daily players, 6,791 player-days.
Sample digest cards: Sample Tycoon (mid-size)
Sample data, not customer results⏳ Roblox hasn't published Oct 28–29 yet. Showing Oct 27, the latest complete day.
Roblox publishes days late. Pending days stay out of every comparison instead of counting as zero.
Daily players
260
-48% vs 7-day avg
Day-1 retention
–
– vs 7-day avg
Day-7 retention
–
– vs 7-day avg
Avg session (min)
10.9 min
-3% vs 7-day avg
Peak players at once
28
-50% vs 7-day avg
Why did this sample alert fire?
Sample data, not customer results⚠️ Daily players is down 48% vs your 7-day average (260 vs 500). (latest complete day: 2026-10-27)
Rule: the latest complete day is compared with the average of the 7 complete days before it. Daily players and day-1 retention alert when they fall more than 25%.
Compared Oct 27: 260 against a 7-day average of 500 (-48%).
Before and after the update marker
Sample data, not customer resultsPick an update marker to compare the complete days before and after it.
Peak concurrent players vs daily players
Sample data, not customer resultsPeak concurrent players (CCU) is the most players in the game at one moment. Daily active users (DAU) counts every different player during the day. A game with visits spread across the day can have a small peak and many daily players.
| Date | Daily players | Peak concurrent | Daily players per peak player |
|---|---|---|---|
| Oct 21 | 457 | 51 | 9× |
| Oct 22 | 479 | 57 | 8.4× |
| Oct 23 | 488 | 55 | 8.9× |
| Oct 24 | 554 | 59 | 9.4× |
| Oct 25 | 558 | 63 | 8.9× |
| Oct 26 | 498 | 57 | 8.7× |
| Oct 27 | 260 | 28 | 9.3× |
Retention cohort dates
Sample data, not customer resultsDay-1 retention for players who started on a date can be measured only the next day, and Roblox publishes it later still. Day-7 needs a full week. A cohort that is still aging shows as waiting, never as 0%.
| Cohort start | Day-1 retention | Day-7 retention |
|---|---|---|
| Oct 29 | Waiting: cohort completes Oct 30, then Roblox publishes it | Waiting: cohort completes Nov 5, then Roblox publishes it |
| Oct 28 | Waiting: cohort completes Oct 29, then Roblox publishes it | Waiting: cohort completes Nov 4, then Roblox publishes it |
| Oct 27 | Waiting: cohort completes Oct 28, then Roblox publishes it | Waiting: cohort completes Nov 3, then Roblox publishes it |
| Oct 26 | 23.9% | Waiting: cohort completes Nov 2, then Roblox publishes it |
| Oct 25 | 25.3% | Waiting: cohort completes Nov 1, then Roblox publishes it |
| Oct 24 | 25% | Waiting: cohort completes Oct 31, then Roblox publishes it |
| Oct 23 | 23.3% | Waiting: cohort completes Oct 30, then Roblox publishes it |
| Oct 22 | 23.6% | Waiting: cohort completes Oct 29, then Roblox publishes it |
| Oct 21 | 24.7% | Waiting: cohort completes Oct 28, then Roblox publishes it |
| Oct 20 | 23.6% | 8.7% |
Calculators that run only in your browser
Sample data, not customer resultsType your own numbers. They stay on this page: nothing is stored, sent or saved, and reloading clears them.
How to read the sample
Sample data, not customer resultsComplete days only
Roblox can publish a day's numbers one to five days late, and a day can first appear partial. LaunchBlip compares only days Roblox has finished publishing. In this sample the last days before the sample date are pending, so the cards show the latest complete day instead.
Alerts compare a day with its own recent week
A drop alert compares the latest complete day with the average of the 7 complete days before it. Stall alerts look for numbers that stop changing. Small games skip drop alerts, because one or two players can move a percentage a lot.
Sample size changes what a percentage means
Day-1 retention of 30% means something different for 20 players than for 2,000. The retention calculator shows a likely range, so you can see how far a small cohort can move by chance.
Want this for your own game?
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