NQI Minority Ownership Verification

Verification and Scoring of Minority Ownership


Neutronian’s Minority Ownership Verification provides independent verification of websites, applications and companies who identify as minority, female or LGBTQ+ owned.


This verified database can be leveraged to identify strategic, diverse partners and curate inventory sources for a PMP or open market activation. Our flexible methodology also allows for a review of websites and applications that target minority audiences, if desired, in order to help identify additional supplemental inventory options for diverse media budgets.

If you would like to view a sample of the Minority Ownership Verification dataset or if you would like to provide minority ownership validation for your own website or company in order to be included in this dataset, please complete the form on this page and someone from our team will follow-up with you shortly.

Verification Types

The current verification categories included in Neutronian’s database are:

  • Minority Owned: One or more owners of the company/website/application is of a minority ethnicity (African American, BIPOC, LatinX, Asian American and Pacific Islanders, Middle Eastern, Indian).
  • Female Owned: One or more owners of the company/website/application is female or identifies as female.
  • LGBTQ+ Owned: One or more owners of the company/website/application identifies as LGBTQ+.
  • Minority Targeted: Website/application content is targeted to a minority audience.
  • Female Targeted: Website/application content is targeted to a female audience.
  • LGBTQ+ Targeted: Website/application content is targeted to a LGBTQ+ audience.


Other verification categories or alternative ownership thresholds (ex. 51%+ of owners must meet criteria) can be applied on a custom basis.


Neutronian partners that subscribe to the Minority Ownership Verification dataset, submit a list of partners for verification along with their current classification for each partner and their classification definitions. Neutronian then conducts a verification process in order to confirm the existing classification and provides feedback with documentation in any instances where the classification could not be verified or conflicting details were found.

Neutronian’s verification process includes an initial manual review and ongoing automated monitoring of each entity. Examples of the types of data that are reviewed in order to conduct verification include:

  • Self declared minority status on website and/or submitted via Neutronian form
  • Owner and Exec team backgrounds
  • Correlation with other public sources (ex. LinkedIn, Crunchbase, external certifications)

There are four stages in the verification process. Details on the stages and examples of the steps taken within each stage can be viewed in the table below.

  • Collection of self declared information on main company/publisher domain
  • Dissonance testing against data shared on other public sites
  • If discrepancies are found, email outreach is conducted with a request for self attestation
  • Review of information provided via Neutronian submission form
  • Crawler based monitoring is conducted to check for changes in information
  • Manual verification of changes and direct outreach conducted if needed
  • Regular review and publication of score criteria and definitions
  • Advisory Board dialogue and industry presentations on progress


Post validation, the results are added to Neutronian’s Minority Ownership Verification database and the full database is shared with all partners that subscribe to the dataset.

The dataset contains the list of domains that were reviewed, the category(s) each domain was verified against and then a score for each verification category. Scores are assigned based on the information that was collected with the lowest scores indicating that no evidence or conflicting information was found, moderate scores noting that some signals were identified to corroborate the classification,
and the highest scores confirming the classification that has been assigned.


An illustrative example of the database output is shown below.

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