Finally know what your sponsorship really moves.
SponsorshipOps is the first analytics platform built for sponsorship decision-makers. We measure the brand-attention lift that every deal, every match and every activation actually generates across Search, Wikipedia, Instagram and TikTok. No panels, no surveys, no gut feel. Just the hard signal of real behaviour change, updated daily and benchmarked against 25,000+ comparable deals.
Sponsorship is the last big marketing channel without hard numbers.
Brands spend over €70 billion on sponsorships globally — yet most deals are still evaluated on estimated media value, ticket benefits and a feeling that "it performed well." Rights holders can't prove their worth to new prospects. Agencies recycle the same AVE models from 2012. And when a CFO asks for proof, everyone looks away.
- Audience and fit decisions rely on outdated panel data or gut feel.
- Post-campaign reports arrive quarterly, far too late to steer a live campaign.
- AVE and MIV inflate numbers and rarely survive serious scrutiny.
- There is no way to benchmark a deal against its actual peer group.
We read the public signal. Every day. For every deal.
SponsorshipOps continuously tracks the digital footprint of sponsors, rights holders and their activations. The moment an announcement drops or a match is played, our system captures the lift in search intent, Wikipedia interest, Instagram follows and TikTok engagement. It calibrates these signals to absolute volumes and places them next to the 13-month baseline.
You stop debating whether a sponsorship worked. You see it, day by day, in the data that audiences leave behind when they show real interest. And because we cover 25,000+ deals, you always know exactly where your own deal ranks against its peer group.
tracked & classified
with daily data
per deal, every day
baseline per entity
From contract to conclusion in four steps.
A rigorous, repeatable process that turns noisy public data into a sponsorship P&L line you can defend.