AI-Powered Analysis
Sponsorship Fit Analysis
Enter a brand and a sports property to get an AI-generated fit analysis — dimension scores, written summary, and deal comparables.
Scoring audience overlap…
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Fit Analysis
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Each dimension is scored 0–100 by Claude based on available knowledge of the brand and property. The composite score is an equal-weighted average of all five dimensions.
Audience Efficiency
How precisely the brand's target customer segment matches the property's fanbase — demographic alignment, psychographic fit, income level, and geography. Precision matters more than raw size.
Brand–Property Fit
How well the partnership fits on two levels: functional fit (does the brand's product have a credible home in this sport/context?) and image fit (do the brand's values align with what the property stands for?).
Rights Package
The strength of the rights package at this property tier — exclusivity level (category-exclusive vs. non-exclusive), asset breadth (naming rights, jersey patch, in-venue, digital, athlete access, hospitality), and defensibility of the rights position.
Media Exposure
The broadcast, social, and earned media opportunity. Treated as a benchmarking input — exposure value is meaningful when combined with strong audience efficiency and brand fit, not as a standalone justification.
Cost Efficiency
Estimated cost-per-impacted-fan benchmarked against comparable deals at similar property tiers. Based on SponsorPulse's cost-per-impact methodology and publicly known deal benchmarks.
Data note: All scores are AI-generated estimates based on Claude's training data and reasoning. They are intended as a first-pass screening signal, not a replacement for verified deal data from platforms like SponsorUnited, Nielsen Sports, or SponsorPulse. Composite score uses equal weights; in practice, weight dimensions against your campaign objective.