How to read your Roblox analytics.
Retention, session time, benchmarks, performance, and player feedback: what we look at in the Creator Hub, and the mistakes we see new Roblox developers make.

When you’re new to making Roblox games, the analytics in the Creator Hub can feel like a wall of charts. It’s tempting to glance at one number, decide your game is a hit or a flop, and move on. We’ve learned that the numbers only help if you read them carefully, and read them together.
I’m Charles, a developer at Yeno. We run 25 Roblox games, so analytics play a big part in how we decide what to fix, what to update, and when to move on. Here’s what we pay attention to, and what we wish more new developers knew.
Start with whether players are having fun.
It’s natural to want more players right away. But Roblox’s own guidance is to work on retention, engagement, and monetization before you try to bring in new users, and we agree. If new players don’t enjoy your game, sending more of them to it won’t fix anything.
Roblox suggests an order to work through, and it’s a good place to start:
- D1 retention and average session time. D1 retention is how many new players come back the day after they first play. Average session time is how long a typical visit lasts. Together, they tell you whether the first experience is working.
- D7 and D30 retention. These show whether your game has staying power beyond a good first impression.
- Payer conversion rate and ARPPU. The share of players who buy something, and how much paying players spend on average.
- Acquisition. Once the game holds players well, look at new users and play through rate: how often people who see your game actually click in and play.
Know what Roblox’s recommendations look for.
Many players find games through Recommended for You on the Roblox Home page. Roblox has been open about the signals it uses there, and they line up closely with the metrics above:
- Play through rate: how often people play your game after seeing it in their recommendations. Your thumbnail, icon, and title do a lot of the work here.
- First play bounce rate: how often players leave after a very short first session. This one counts against you.
- Play days per user and playtime per user: how many different days players come back, and how much time they spend.
These signals are measured on players who found your game through those recommendations. So improving retention and engagement doesn’t just make your charts look better. It improves the signals Roblox uses to decide whether to show your game to more people. One practical tip: your game needs a custom thumbnail to be eligible for Home recommendations at all.
Use benchmarks as context, not a scorecard.
The analytics dashboard compares your game with similar games on retention, average session time, monetization, and play through rate. Instead of a single target, it shows a range from the 50th to the 90th percentile. Sitting near the bottom of that range puts you around the middle of similar games; reaching the top puts you among the best of them. Benchmarks need your game to have at least 100 daily active users, and they update daily.
We find these more useful than any number someone quotes online, because what counts as good depends on the kind of game you’re making. Comparing against similar games keeps that in mind for you. Roblox also notes that benchmarks aren’t used directly to rank games in discovery. They’re there to show you where you stand.
Don’t skip performance and errors.
Engagement and retention can tell you that something is wrong. Sometimes the cause isn’t the gameplay at all.
The Performance dashboard shows things like client frame rate, memory, and crashes. If players are consistently getting low FPS, treat it as a serious problem and dig in. A game that runs poorly is hard to enjoy, however good the idea is. For reference, Roblox’s documentation says a game needs to keep its client CPU time under about 16 milliseconds per frame to run at 60 FPS.
The Error Report collects errors and warnings from both servers and clients, along with stack traces. We use it to find recurring bugs and technical problems, the kind that quietly push players out without anyone reporting them. It also highlights new errors for each version of your game, which makes it a good thing to check after an update.
Pair the numbers with what players tell you.
Analytics are great at showing where a problem might be. They’re not as good at explaining why. For that, we go to our players.
Most of our feedback comes from our Discord community and from Roblox’s built-in feedback, where players can rate a game and leave a comment. You’ll find it in the Creator Hub under Audience, then Feedback. Players tell us what they dislike, what isn’t working, and what they want to see next.
The two work best together. The data points you to where something might be wrong, and the feedback often explains what’s actually happening.
Look beyond the default dashboard when you need to.
The Creator Hub covers a lot, but not everything. At Yeno, we’ve built our own internal analytics system alongside it to understand parts of player behavior and game performance that the standard dashboard doesn’t fully cover.
You don’t need anything like that on day one. But once you start asking questions the dashboard can’t answer, Roblox’s custom and funnel events are a good next step. They let you track the specific moments in your game that you care about.
Two mistakes we see a lot.
Misreading the data. A number on its own rarely tells the whole story, and it’s easy to draw the wrong conclusion from one chart. Before acting on a change, check it against your other metrics, compare it with your benchmarks, and see what players are saying. Make sure you understand what the data is actually telling you before you decide what to do about it.
Holding on too long. If a game’s analytics are consistently poor, it’s important to recognize when more investment isn’t justified. Reassess the core gameplay, test improvements, and give them a fair chance. If things still don’t improve, be willing to move on. We wrote more about how we make that call in how five of us build and run 25 Roblox games.
Make decisions based on evidence, not attachment.
That’s the biggest lesson analytics have taught us. It’s easy to get attached to something you’ve worked hard on. The data helps you stay honest about whether it’s working.
Where to start.
If you’re opening your analytics for the first time, here’s a short checklist:
- Watch D1 retention and average session time first.
- Make sure your game has a custom thumbnail, and keep an eye on play through rate.
- Use benchmarks to see where you stand among similar games.
- Check performance and the Error Report, especially after updates.
- Read your player feedback, and use it to explain what the numbers show.
- Make decisions based on evidence.
Roblox’s analytics documentation and discovery guide go deeper on everything here, and they’re worth bookmarking.
Want to see how this plays out in practice? Browse our games and jump into one. And if you have a Roblox game you’d like to take further, we’d love to hear about it. Take a look at partnering with Yeno.
See you in the game,
Charles
