Taxonomy
Dimensions

Taxonomy Dimensions

The NIL Taxonomy uses 12 core dimensions to classify all aspects of NIL licensing.

The 12 Dimensions

1. Subject Scope

What aspects of the athlete are covered

ValueDescriptionExample
nameLegal name and common nicknames"Patrick Mahomes", "Pat"
imagePhotographs and video footageHeadshots, action photos
likenessRecognizable representationIllustrations, caricatures
signature_marksUnique identifiersJersey number, signature
synthetic_likenessAI-generated representationsDeepfakes, digital avatars
performance_dataStats and analyticsPassing yards, completion %

Common combinations:

  • Name + Image + Likeness (most common)
  • Name + Image + Likeness + Signature Marks (endorsements)
  • All dimensions (comprehensive deals)

2. Use Type

Purpose of the license

ValueDescriptionCommercial?
editorialNews, journalism, critiqueNo
educationalTeaching, research, classroomNo
brand_marketingBrand campaignsYes
paid_advertisingPaid media placementsYes
product_associationProduct endorsementYes
ugc_campaignUser-generated content contestsYes
internal_onlyInternal company useNo

Conflicts:

  • editorial + full_commercial = Invalid
  • educational + brand_marketing = Requires justification

3. Commercial Scope

Level of commercial use

ValueDescriptionAllowed Uses
non_commercialNo commercial useEditorial, educational
limited_commercialRestricted commercial useLow-budget campaigns, startups
full_commercialUnrestricted commercial useMajor brand campaigns

Typical pairings:

  • Educational → non_commercial
  • Standard commercial → full_commercial
  • UGC campaigns → limited_commercial

4. Exclusivity

Exclusivity arrangements

ValueDescriptionExample
noneNon-exclusiveAthlete can work with multiple brands
category_exclusiveExclusive within categoriesOnly athletic apparel brand in that category
full_exclusiveComplete exclusivityNo other brand deals of any kind

Exclusive Categories:

  • QSR (Quick Service Restaurants)
  • Sports Betting
  • Athletic Apparel
  • Beverages
  • Supplements
  • Automotive
  • Technology
  • Financial Services
⚠️

Category exclusive requires specifying which categories. Full exclusive prohibits all other commercial activity.


5. Territory

Geographic scope

TypeDescriptionExample
globalWorldwide rightsInternational campaigns
countriesSpecific countries['US', 'CA', 'MX']
regionsNamed regions['North America', 'Europe']
statesUS states['CA', 'NY', 'TX']
citiesSpecific cities['New York', 'Los Angeles']
venuesSpecific venues['Madison Square Garden']

Rules:

  • Cannot combine global: true with specific territories
  • Country codes must be ISO 3166-1 alpha-2
  • More specific territories can be combined (states + cities)

6. Term

Time-limited rights

// Fixed term
term: {
  start_date: '2024-01-01',
  end_date: '2025-12-31',
  auto_renew: false
}
 
// Auto-renewing
term: {
  start_date: '2024-01-01',
  end_date: '2025-12-31',
  auto_renew: true,
  renewal_period: 'annual' // or 'monthly', 'quarterly'
}
 
// Perpetual
term: {
  perpetual: true
}
 
// Campaign-based
term: {
  campaign_duration: '2024-Q3'
}

Auto-renewal requires explicit renewal_period. Perpetual terms are rare and typically require higher compensation.


7. Derivative Rights

Editing and transformation permissions

ValueDescriptionAllowed Modifications
noneNo modificationsAs-is only
limitedMinor editsCrop, resize, color correction
ugc_remixTransformative UGCMemes, remixes, parodies
full_with_guardrailsFull rights with approvalAny edit with pre-approval

Use cases:

  • Print ads → limited
  • Meme campaigns → ugc_remix
  • Long-term partnerships → full_with_guardrails

8. AI & Synthetic Use

AI-generated content rules

ValueDescriptionPermitted
prohibitedNo AI useNone
limited_depiction_onlyOnly existing contentAI enhancement of real images
avatar_onlyVirtual avatar creationDigital twin for gaming/metaverse
synthetic_allowed_with_approvalWith prior approvalDeepfakes, synthetic video (approved)
synthetic_fully_allowedUnrestricted AIAny synthetic content
🚫

High Risk: synthetic_fully_allowed removes all AI restrictions. Requires enhanced compensation and clear athlete consent.


9. Data Use

Performance and biometric data rights

data_use: {
  level: 'identified_analytics_only',
  opt_in_required: true,
  purposes: ['performance_tracking', 'highlight_generation']
}
LevelDescriptionExamples
noneNo data collectionImage-only campaigns
aggregated_anonAnonymous aggregated dataLeague-wide stats
identified_analytics_onlyPerformance analyticsPersonal performance dashboards
marketing_allowedMarketing purposesTargeted ads based on performance

Opt-in requirement:

  • identified_analytics_only → Usually required
  • marketing_allowed → Always required

10. Attribution

Credit requirements

ValueDescriptionImplementation
requiredMust credit athlete"Featuring [Athlete Name]"
name_requiredName must appearAthlete name in caption/credits
optionalCredit appreciated but not requiredDiscretionary
prohibitedNo attributionGhost campaigns

11. Sublicensing

Third-party use permissions

ValueDescriptionExample
prohibitedNo third-party useBrand only
approved_partnersPre-approved partnersRetail partners, agencies
network_allowedSocial sharing/embeddingUGC campaigns
full_sublicenseUnrestricted sublicensingRare, high-value deals
⚠️

network_allowed is specifically for social media sharing in UGC campaigns. It does NOT grant commercial sublicensing rights.


12. Content Safety

Restricted categories and morals clauses

content_safety: {
  restricted_categories: ['adult', 'tobacco', 'alcohol', 'sports_betting'],
  morals_clause: 'enhanced',
  competitor_exclusions: ['Brand X', 'Brand Y']
}

Restricted Categories:

  • adult - Adult/explicit content
  • gambling - Gambling/betting
  • tobacco - Tobacco products
  • alcohol - Alcoholic beverages
  • weapons - Firearms/weapons
  • politics - Political campaigns

Morals Clauses:

  • standard - Standard conduct requirements
  • enhanced - Stricter behavioral standards
  • custom - Custom clause text

Competitor Exclusions:

  • List of specific brands/companies athlete cannot work with
  • Typically used with category exclusivity

Dimension Combinations

Common Valid Combinations

Standard Endorsement:

{
  subject_scope: ['name', 'image', 'likeness'],
  use_type: ['brand_marketing', 'paid_advertising'],
  commercial_scope: 'full_commercial',
  exclusivity: 'none'
}

Category Exclusive Deal:

{
  subject_scope: ['name', 'image', 'likeness', 'signature_marks'],
  use_type: ['brand_marketing', 'product_association'],
  commercial_scope: 'full_commercial',
  exclusivity: 'category_exclusive',
  exclusive_categories: ['athletic_apparel']
}

Documentary:

{
  subject_scope: ['name', 'image', 'likeness'],
  use_type: ['editorial', 'educational'],
  commercial_scope: 'non_commercial',
  exclusivity: 'none',
  derivative_rights: 'none'
}

Common Invalid Combinations

Educational + Commercial:

{
  use_type: ['educational'],
  commercial_scope: 'full_commercial' // ❌ Conflict
}

Global + Country-Specific:

{
  territory: {
    global: true,
    countries: ['US'] // ❌ Conflict
  }
}

Perpetual + Auto-Renew:

{
  term: {
    perpetual: true,
    auto_renew: true // ❌ Conflict
  }
}

Validation Flow

Next Steps