The sponsor ROI checklist: how to prove value with data
Sponsors expect a 4:1 ROI. With this checklist, you deliver the data they need.
Published on 5 May 2026
The days when a handshake and a season ticket were enough to keep a sponsor happy are over. Sponsors increasingly expect a measurable return on their investment — the industry benchmark is a 4:1 ratio: €4 of value for every €1 they invest. Clubs that can demonstrate this keep their sponsors. Clubs that cannot, lose them.
What data do you collect?
You do not need to be a data analyst. Focus on these five metrics:
Screen impressions — How many times has the sponsor content been shown on screen? With narrowcasting software, this is tracked automatically.
QR scans — If you use QR codes on screens or boards, track the number of scans. That is direct interaction.
Social media reach — How many people have seen posts in which the sponsor is tagged or mentioned?
Website traffic — Using UTM parameters, you can measure how many visitors reach the sponsor's website via club channels.
Event visitors — For sponsored events: how many visitors, and how many of them interacted with the sponsor?
The monthly report: simple but effective
Send your sponsors a short overview every month. It does not need to be more than this:
Number of screen impressions this month
Number of QR scans or clicks
Social media reach (where applicable)
Any highlights (a photo of the sponsor spot on the screen, a screenshot of a social post)
That takes you 15 minutes per sponsor per month. And it makes the difference between renewal and cancellation.
The quarterly conversation
Four times a year, you discuss the figures in person. Three questions are enough:
Are you satisfied with the visibility?
Do you have any wishes or ideas for the coming quarter?
Do you see opportunities to expand the partnership?
Clubs that deliver integrated data reporting see up to 47% higher sponsor ROI. Not necessarily because the figures are better, but because they are visible. Sponsors want to know that their investment counts — and data is the language that proves it.