Executive summary
A one-page read on what the dashboard surfaces, who would act on it, and where the numbers stop being trustworthy. Written for product, marketing and investment leads — the formulas live on the methodology page.
Three questions, side-by-side, refreshed hourly:
- Where is engagement strongest? The genre × age-rating table ranks combinations by retention quality and average session length, so you can see which audience is sticking around — not just which audience is biggest.
- Which regions matter for which content? The regional breakdown shows the games Roblox is actively promoting in each major market and the dominant genre per country. Useful for localisation, marketing spend and release timing decisions.
- Who is winning right now, and who is winning quietly? Two leaderboards run in parallel — raw concurrent players and retention quality. Games that rank high on both are entrenched leaders; games that rank high on quality but modest on size are the ones competitive teams should be watching.
Studio & product leads
Use the genre × age table to validate where to invest next. If your title sits in a combination with weak retention but high concurrency, you are buying attention — not earning it. Pivot the design brief towards combinations that score well on both.
Marketing & user acquisition
The regional table tells you where each genre over- and under-indexes. If your game is a Survival title, the rows where Survival is the top genre are your highest-conversion markets; the rows where it isn’t are either expansion opportunities or graveyard spend, and the retention column tells you which.
Publishers & investors
The two leaderboards form a quick screening 2×2: high players + high retention is an entrenched leader (defensible asset); high players + low retention is a churn risk priced as a hit; low players + high retention is an under-marketed sleeper (acquisition target). Triage at a glance, then go deep on the names that catch the eye.
Indie devs validating an idea
Before committing months to a concept, look at how existing titles in the same genre × age combination are performing. A category clustered at the bottom of the retention table is telling you about its ceiling, not just its floor.
- Retention here is an estimate, not a true cohort metric. Roblox doesn’t expose per-user data, so we infer engagement from public signals (likes, favourites, current players, lifetime visits). It’s a directional smell test — directional enough to make decisions on, not precise enough to set targets by.
- The dataset over-represents currently popular games. We seed from Roblox’s discovery surface, so anything Roblox isn’t actively promoting is invisible. Long-tail and niche titles aren’t in the picture.
- Older games look bigger than they should. Lifetime visits accumulate forever; a six-year-old game will always look weightier than a six-month-old one growing twice as fast.
- Bots and AFK accounts are inside the player counts. Some of what looks like engagement on certain titles is actually farming or idling; there is no public way to net it out.
- Snapshots, not live. Refresh runs hourly at best because of platform rate limits. Live events and time-of-day spikes between snapshots are invisible.
- Trend lines per game. The pipeline already stores hourly readings; surfacing a 12-hour mini-chart per top-N game would make momentum visible alongside position.
- Genre-relative ranking. A game’s absolute score says little; its rank inside its own genre and age bucket says a lot — especially for benchmarking.
- Outlier alerts. Flag titles that score well above their genre mean, or that jump in concurrency week-on-week. That’s where the acquisition and competitive-intel use cases would land first.
- More markets in the regional view. Adding mid-tier markets (MX, IN, FR, TR, ID) deepens the localisation story without meaningfully more cost.