From Highlights to ROI: Annotating Sponsor Moments
Sports highlights don’t just drive views — they can prove sponsorship ROI. This post shows how auto-tagging the exact seconds when a goal and a sponsor logo share the frame turns highlights into commercial evidence. Editors receive ready-made, brand-sorted clips with Screen Time baked in for instant social; commercial teams get standardized KPIs — vSOV, Exposure Score (area × position × clarity), and Cost per Exposure Second (CPeS)—to price, defend, and optimize deals. We outline a pragmatic path: assemble fast with ready vision APIs (logo recognition, OCR, anonymization), then tailor models for your venues to cut costs and lift accuracy. The result is faster distribution, cleaner make-goods, and board-level proof that turns highlights into revenue.
Calculating Exposure Score: Size Meets Clarity
In today’s high-stakes world of sports and entertainment sponsorship, not all on-screen logos are created equal. As global spend on brand exposure nears $190 billion, the old metrics — raw “seconds on screen” or impression counts — no longer satisfy the boardroom. Forward-looking executives are demanding a new standard: Exposure Score. This AI-powered metric weights not just how long a logo appears, but how large, where, and how clearly. The result? A precise, auditable KPI that transforms fleeting pixels into bottom-line value, helping CEOs, CFOs, and CMOs maximize every sponsorship dollar, justify negotiations, and outpace the competition. Discover how next-generation algorithms are redefining sponsorship ROI — and why those who adopt early will lead the next decade of brand visibility.