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Public evidence standard

Earned Media Value Evidence Standard

An 18-control disclosure checklist for auditing earned media value claims across virtual worlds, social media, creators and press without exposing proprietary model coefficients.

Standard updated August 12, 2026 · Version 1.0 · Source: ROLearn Intelligence, OMNI-EMV Evidence Standard v1.0

How to use the standard

Mark each control pass, fail, not applicable or not disclosed. A complete checklist does not certify an earned media value result. It shows whether the result can be traced, challenged and reproduced, and whether media equivalence has been kept separate from brand lift, revenue and ROI.

Research files

ControlEvidence requiredPass conditionCommon failure
01. Decision and objectiveNamed decision, audience and communication objectiveThe EMV estimate answers a stated media questionA large number is produced without a decision it informs
02. Campaign boundaryActivation, market, platform, geography and datesIncluded activity falls inside a fixed scopeLifetime views are mixed with a short campaign window
03. Earned, paid and owned policyClassification rule for every media objectPaid and owned distribution remain separately visibleSponsored creator views are labelled earned
04. Attribution ruleKeywords, handles, links, creative markers and review ruleEvery included object is traceable to the activationAll brand conversation is assigned to the campaign
05. Qualified in-world exposureDefined exposure event beyond raw place loadVisits and qualified exposure are reported separatelyEvery join is treated as a viewed brand impression
06. In-world attentionDwell, completion or interaction evidence tied to exposureTime and actions use fixed qualification thresholdsTotal session time is assigned to one branded element
07. Social media evidencePost-level views, watch time or engagements by platformEach network stays in its native unit before normalizationFollowers, impressions and video views are added directly
08. Creator disclosureContracted creators, fees and paid distribution flagsPurchased delivery is removed from earned totalsOrganic and contracted creator reach are blended
09. Press readershipArticle-level audience estimate and derivationPotential reach and estimated readership are distinguishedA publisher's monthly audience is assigned to one article
10. Media-object deduplicationCanonical URL, post or video identifierSyndication, embeds and reposts follow a stated ruleOne object is counted repeatedly across monitoring tools
11. Audience overlapObserved identity or bounded overlap assumptionCross-channel reach is not added without reconciliationThe same person becomes a new audience in every channel
12. Invalid and non-human activityPlatform filters, bot rules and anomaly reviewKnown invalid activity is excluded and unknown risk disclosedRaw public counters are accepted as verified human attention
13. Relevance and prominenceRule for brand centrality, placement and creative visibilityPassing mentions and substantive coverage are not equalA logo in the background receives full-content value
14. Sentiment governanceClassifier, language coverage and human-review thresholdMaterial mixed or negative items receive reviewEvery mention is automatically treated as positive value
15. Market comparableMarket, format, audience, date and rate sourceThe comparable resembles the attention being valuedOne blended CPM is applied to every country and format
16. Time and decay policyCollection window and treatment of later discoveryLate views follow a predeclared inclusion ruleThe window expands until the desired total is reached
17. Uncertainty and coverageInput ranges, missing channels and evidence gradeResult includes a range and coverage statementModeled inputs produce a precise point estimate
18. Outcome separation and reproducibilityVersioned ledger, assumptions and separate outcome recordAn auditor can trace the estimate; ROI remains separateMedia equivalence is relabelled revenue, profit or causal impact
Source: ROLearn Intelligence, OMNI-EMV Evidence Standard v1.0Sources reviewed Aug 12, 2026

How this resource is maintained

The standard converts the public governance layer of OMNI-EMV into pass-or-disclose controls. It tests whether a reported earned media value can be traced to an objective, campaign boundary, attributable evidence, channel-native units, paid-versus-earned classification, audience-overlap policy, market comparable and uncertainty range. It does not disclose or validate ROLearn's proprietary coefficients, thresholds, benchmark tables, weighting order or executable formula. Passing the checklist means the estimate is inspectable; it does not prove business impact or ROI.

Read the full OMNI-EMV methodology. To report an outdated control, source or access description, email [email protected].

Cite this piece

Dang, Tu. Earned Media Value Evidence Standard, version 1.0. ROLearn Intelligence, 12 August 2026. https://intelligence.rolearn.dev/resources/earned-media-value-evidence-standard

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