E-Sports Overlays: Measuring Virtual Brand Presence
Esports overlays — virtual billboards, HUD bugs, replay wipes — now command real budgets, and they deserve stadium-grade measurement. This post shows how to turn gameplay and broadcast footage into qualified exposure seconds using modular computer-vision blocks (logo recognition, OCR, object detection, anonymization), then roll those seconds into two board-ready KPIs: vSOV (visual share of voice) — how much of the screen you truly owned — and CPeS (cost per exposure second) — what you paid for that ownership. Grounded in current IAB gaming guidance, the framework helps publishers and sponsors price, verify, and optimize inventory across titles, proving value with auditable numbers — and giving leadership a practical path to faster deals, cleaner renewals, and better unit economics.
Esports Sponsorship Analytics: Measuring In-Game Logos
Esports has become one of the fastest-growing sponsorship arenas, attracting global brands eager to reach digital-first audiences. But unlike traditional sports, where pitch-side ads and jersey logos are easy to track, esports sponsorship exposure happens inside games, streams, and overlays — making it harder to measure and prove ROI. This blog explores how AI-powered logo detection is transforming esports sponsorship analytics, enabling executives to quantify brand visibility with the same rigor applied to stadium advertising. The result: data-driven sponsorships, transparent ROI, and a clear competitive edge in the world’s most dynamic digital arena.