Evidence-led research on gaming intelligence, Roblox analytics, player retention, brand activation measurement and virtual economies, with the question, evidence base, method and limitations stated in full.
Every piece in this section states its research question, data source, sample size, collection period, method and limitations.
Research contract
Our work covers Roblox analytics, gaming audiences, player retention, virtual-world brand activations, in-game advertising and earned media value. Each report separates observed data, modelled estimates and editorial judgement so an enterprise reader can use the conclusion without losing its conditions.
New to ROLearn? Begin with the decision map for brands, agencies and studios.
Explore Gaming Intelligence →A measurement architecture for display, video, audio, portals and custom game integrations that keeps delivery, viewable exposure, attention, interaction and business outcomes separate.
·17 min read
How to turn D1, D7 and D30 cohort charts into product and live-operations decisions by connecting return behavior to onboarding, progression, acquisition and game versions.
·15 min read
A practical guide to connecting Roblox acquisition, engagement, retention, funnel, economy and outcome data without mistaking a platform dashboard for a complete measurement system.
·16 min read
Introducing OMNI-EMV, ROLearn's earned media value framework for virtual worlds, creators, social media and press.
·18 min read
A buyer's framework for Roblox analytics, player retention, campaign measurement, market intelligence and the data infrastructure required to connect them.
·14 min read
A practical brand activation measurement system for reach, attention, engagement, brand impact and business value across the player journey.
·18 min read
A game session and a video view are not equivalent exposures. Here is a defensible way to compare their media contribution without flattening either one.
·10 min read
One decisive insight on games, brands, and virtual worlds, every Thursday.
