The four dimensions
- Audience fit: do the two audiences contain the same kind of people? Measured through affinity and demographic comparison.
- Geographic fit: are they strong in the same places? A national brand with a property whose audience sits in three regions is buying less than the headline reach suggests.
- Image fit: do the associations align? Much discussed and hard to measure, because it relies on perception.
- Commercial fit: do the rights on offer serve the objective? Hospitality, data rights, athlete access and perimeter branding serve different goals.
The four can point in different directions. A partnership can fit on image and fail on geography.
Why audience fit carries weight
Image fit is what decks lead with, and it is the hardest to verify. Audience fit can be checked before the contract: overlap and affinity between the brand’s audience and the property’s are observable, comparable across candidates and independent of opinions about brand values.
High affinity with low overlap is often a strong position: the property’s audience is the brand’s kind of people, and few of them are reached today.
The comparison that is usually missing
Many sponsorship cases evaluate one property in isolation. What decides value is how it compares with alternatives at a similar price, including properties outside the obvious sport or genre. A brand looking at a football club rarely compares it with a music festival or an esports team with a similar audience profile.
Common mistakes
- Leading with image only. It is the least verifiable dimension. Check audience and geography first.
- Evaluating one property alone. Without alternatives, there is no reference for the fee.
- Ignoring the rights package. A good audience fit fails if the rights do not serve the objective.
How Rascasse uses it
Rascasse compares the audience of a brand with each candidate property on affinity and regional distribution, per country and down to postal code where available. A database of 31,000+ sponsorship deals (18,000+ sponsors, 57 sports, 130 countries) shows who already sponsors what, so the shortlist comes from the full field rather than the properties the team already knows.
Related use cases: Sponsorship Matching & Pitch, Brand Partnerships & Co-Branding, Sponsorship Activation.
