SponsorUnited

Name: SponsorUnited
Brand: SponsorUnited

SponsorUnited provides the most comprehensive sponsor data platform to help properties & brands connect + drive revenue.

Est 2016|Valuation $127.7M|Raised $39.2M|10 Ref Customers

LinkedIn 24K|Website|Web traffic 89K|FTEs 355|HQ Stamford, Connecticut, US

MarketsAccount Research

01Competitive Landscape

Competitive Landscape

| Aspect | SponsorUnited | SponsorPitch | Zoomph | |--------|--------------|-------------|--------| | Starting Price | Not publicly listed (quote-based) | Public, self-serve tiers are advertised; lower entry cost for smaller organizations | Third-party listings suggest higher starting costs; typically enterprise sales motion (verify with vendor) | | Primary Use Cases | Deal discovery, competitive intelligence, and modelled pricing estimates (SPND) across sports/entertainment | Lightweight sponsor discovery and contact access with transparent self-serve plans | Sponsorship monitoring and measurement with social/audience analytics orientation | | Key Strength | Vendor-reported scale of sponsorship data and a pricing estimation layer (SPND) | Transparent pricing and low barrier to entry; self-serve onboarding | Measurement and social analytics focus for sponsorship impact evaluation | | Key Weakness | Limited independent third-party user review volume publicly available; pricing is not transparent; SPND accuracy requires validation | Potentially less depth for enterprise-grade pricing intelligence; dataset scope may differ | Pricing generally enterprise-oriented; may emphasize measurement more than deal-discovery depth | - Direct competitors and differentiators - SponsorUnited - Differentiation is based on vendor-reported scale and a pricing-estimation capability (SPND) along with a combined automated + human data-collection approach. - SponsorPitch - Differentiation is oriented toward transparent, self-serve pricing and ease of adoption for smaller teams. - Zoomph - Differentiation is oriented toward sponsorship measurement and social/audience analytics. - Feature comparison: where SponsorUnited likely excels vs. requires validation - Areas of likely relative strength (based on vendor materials and press) - Deal discovery breadth in sports and entertainment - Modelled pricing estimates (SPND) designed for negotiation benchmarking - Areas requiring buyer validation - Independent validation of dataset completeness and SPND accuracy - Presence on public review platforms and organic user community footprint - Pricing comparison - SponsorUnited: Custom quote; enterprise procurement process expected - SponsorPitch: Public, self-serve tiers that may be preferable for smaller organizations or quick trials - Zoomph: Typically enterprise sales; pricing often presented after vendor engagement - Market share and adoption trends - SponsorUnited publishes adoption claims (for example, vendor statements about usage in major professional sports). These are vendor-reported statements and should be validated through sampling, reference checks, or third-party audits where required. - The vendor’s dataset has been cited by some sports-business reporting, indicating usage of SponsorUnited data in industry analyses. - When customers choose competitors instead (and why) - Typical inferred reasons include: - Preference for transparent, self-serve pricing or lower-cost entry (SponsorPitch) - Requirement for sponsorship measurement or social analytics deliverables (Zoomph, Relo Metrics) - Need for broader sports business intelligence beyond sponsorship data (GlobalData, SportBusiness)

01Competitive Landscape

Competitive Landscape

Aspect	SponsorUnited	SponsorPitch	Zoomph
Starting Price	Not publicly listed (quote-based)	Public, self-serve tiers are advertised; lower entry cost for smaller organizations	Third-party listings suggest higher starting costs; typically enterprise sales motion (verify with vendor)
Primary Use Cases	Deal discovery, competitive intelligence, and modelled pricing estimates (SPND) across sports/entertainment	Lightweight sponsor discovery and contact access with transparent self-serve plans	Sponsorship monitoring and measurement with social/audience analytics orientation
Key Strength	Vendor-reported scale of sponsorship data and a pricing estimation layer (SPND)	Transparent pricing and low barrier to entry; self-serve onboarding	Measurement and social analytics focus for sponsorship impact evaluation
Key Weakness	Limited independent third-party user review volume publicly available; pricing is not transparent; SPND accuracy requires validation	Potentially less depth for enterprise-grade pricing intelligence; dataset scope may differ	Pricing generally enterprise-oriented; may emphasize measurement more than deal-discovery depth

Direct competitors and differentiators
- SponsorUnited
  - Differentiation is based on vendor-reported scale and a pricing-estimation capability (SPND) along with a combined automated + human data-collection approach.
- SponsorPitch
  - Differentiation is oriented toward transparent, self-serve pricing and ease of adoption for smaller teams.
- Zoomph
  - Differentiation is oriented toward sponsorship measurement and social/audience analytics.
Feature comparison: where SponsorUnited likely excels vs. requires validation
- Areas of likely relative strength (based on vendor materials and press)
  - Deal discovery breadth in sports and entertainment
  - Modelled pricing estimates (SPND) designed for negotiation benchmarking
- Areas requiring buyer validation
  - Independent validation of dataset completeness and SPND accuracy
  - Presence on public review platforms and organic user community footprint
Pricing comparison
- SponsorUnited: Custom quote; enterprise procurement process expected
- SponsorPitch: Public, self-serve tiers that may be preferable for smaller organizations or quick trials
- Zoomph: Typically enterprise sales; pricing often presented after vendor engagement
Market share and adoption trends
- SponsorUnited publishes adoption claims (for example, vendor statements about usage in major professional sports). These are vendor-reported statements and should be validated through sampling, reference checks, or third-party audits where required.
- The vendor’s dataset has been cited by some sports-business reporting, indicating usage of SponsorUnited data in industry analyses.
When customers choose competitors instead (and why)
- Typical inferred reasons include:
  - Preference for transparent, self-serve pricing or lower-cost entry (SponsorPitch)
  - Requirement for sponsorship measurement or social analytics deliverables (Zoomph, Relo Metrics)
  - Need for broader sports business intelligence beyond sponsorship data (GlobalData, SportBusiness)

Aspect

SponsorUnited

SponsorPitch

Zoomph

Starting Price

Not publicly listed (quote-based)

Public, self-serve tiers are advertised; lower entry cost for smaller organizations

Third-party listings suggest higher starting costs; typically enterprise sales motion (verify with vendor)

Primary Use Cases

Deal discovery, competitive intelligence, and modelled pricing estimates (SPND) across sports/entertainment

Lightweight sponsor discovery and contact access with transparent self-serve plans

Sponsorship monitoring and measurement with social/audience analytics orientation

Key Strength

Vendor-reported scale of sponsorship data and a pricing estimation layer (SPND)

Transparent pricing and low barrier to entry; self-serve onboarding

Measurement and social analytics focus for sponsorship impact evaluation

Key Weakness

Limited independent third-party user review volume publicly available; pricing is not transparent; SPND accuracy requires validation

Potentially less depth for enterprise-grade pricing intelligence; dataset scope may differ

Pricing generally enterprise-oriented; may emphasize measurement more than deal-discovery depth