A flagship study, usually periodic, with a full methodology appendix and a downloadable dataset where licensing allows.
Every piece in this section states its research question, data source, sample size, collection period, method and limitations.
Roblox CCU forecast accuracy, measured: a median error of 23% over the next four weeks for ROLearn's best model, 25% for the forecast it actually serves, and why the more accurate model is not the one in production.
·4 min read
Roblox genre CCU benchmarks from 15,799 tracked experiences in October 2026: the median averaged 45 concurrent players, one in ten averaged over 783, and the genre changes the ceiling far more than the middle.
·3 min read
ROLearn's five-dimension assessment framework for determining whether a Roblox, Fortnite or virtual-world campaign has evidence strong enough to support reporting, comparison and budget decisions.
·14 min read
A defensible measurement architecture for turning Roblox analytics, Fortnite engagement signals and brand-lift evidence into decisions without pretending visits equal impact.
·15 min read
One decisive insight on games, brands, and virtual worlds, every month.
