Mobile bidstream data is a popular solution for estimating audience in DOOH. However, due to its limitations, it is only available as a server-side data source which makes it incompatible with online programmatic requirements.
While the online programmatic world is based on standards that require a live client-side data protocol, out-of-home has historically been based on historic averages and server-side audience. Quividi adapts to both, which makes it compatible with DOOH-oriented programmatic as well as its online programmatic counterparts.
We explore mobile measurement for OOH and compare it with Quividi’s model and methodology.
We illustrate a way of comparing audience measurement providers and methods in a cross-platform (online and offline) way.
We discuss the subject of data transformation from a detection metric into an audience metric.
We discuss a robust protocol for client-side ad measurement and its benefits and uses. We also contrast it with server-side techniques.
We illustrate a technical proposal for cross-platform audience impressions and which is used as a basis for Quividi’s audience impression measurement.
Quividi has been pioneering Anonymous Video Analytics (AVA) solutions since 2006. Over this long period of time we’ve seen many of our competitors come, promise disruption and make bold claims … Read more
We discuss the state-of-the-union as it pertains to audience measurement standards – online and off.
This article is the first in a series on DOOH Audience Measurement which explores what the factors are that can accelerate DOOH towards the “holy grail” of cross-platform media compatibility.
Quividi is the pioneer and World’s #1 in AI & Computer Vision based platforms providing real-time audience measurement & shopper engagement for Digital Out-of-home (DOOH) & Retail.
DOOH and Retail Media publishers leverage Quividi’s first-party, real-time audience impressions to trade their inventory using traditional and programmatic (pDOOH) channels. Retailers and Brands use Quividi’s high-fidelity footfall and engagement analytics to optimize conversion at key touch-points along the physical shopper journey.
Quividi’s platforms are Data Protection by design and support large-scale deployments, analyzing billions of anonymous shoppers monthly across tens of thousands of screens and points of purchase (POP).
© 2023 Quividi | 43, rue de Douai, 75009 Paris, France· Privacy policy