OMNI-EMV earned media value framework
A public measurement architecture for attributable attention across virtual worlds, social media, creators and press. Proprietary coefficients and the executable formula are not published.
ROLearn Intelligence publishes gaming market research for brand, agency and studio leaders. Journalists, analysts, researchers and conference producers may cite the work with attribution and a link, or request comment from founder Tu Dang.
ROLearn Intelligence is the research publication of ROLearn. It examines how games become media channels, businesses and virtual economies, with a focus on Roblox analytics, player retention, in-game advertising and brand activation measurement. Research states its question, evidence base, collection window, method and limitations.
A public measurement architecture for attributable attention across virtual worlds, social media, creators and press. Proprietary coefficients and the executable formula are not published.
An 18-control, pass-or-disclose checklist with CSV, JSON, BibTeX and RIS downloads.
A five-layer system connecting qualified reach, attention, engagement, brand impact and business value.
A practical architecture for acquisition, session quality, retention, monetization and external campaign evidence.
Attribute the author, page title, ROLearn Intelligence, publication date and canonical URL. Preserve labels such as illustrative, estimated and modeled. OMNI-EMV is a media-equivalence framework; do not describe its output as revenue, profit, audited ROI or verified brand lift.
Read the editorial standards, research methodology and corrections policy before using a finding outside its stated scope.
Send the outlet or organization, deadline, topic, intended format and the claim you want checked. If ROLearn cannot support a claim from the available evidence, the response will say so. Corrections to published work go to [email protected].
One decisive insight on games, brands, and virtual worlds, every Thursday.