Solution concepts
Optimizing retail video with Google
Audience measurement and creative optimization for in-store video advertising, leveraging unique AI system
In today’s retail environment, video content is one of the most powerful tools for engaging shoppers and driving conversion. But traditional approaches to creative testing, where ads are judged subjectively or in limited pilots, can leave performance insights incomplete or inconclusive.
BlueZoo and Google are changing that with a new approach that combines generative AI creative generation with real-time audience measurement to determine which video ads truly deliver results in the store. The solution is available on GitHub today.
How it works
AI-powered Creative Generation
Google’s Veo3 uses generative AI to rapidly produce high-quality video ad variations for retail environments. This enables teams to quickly prototype, refine, and expand creative options without the long lead times and cost of traditional video production.
Real-Time Performance Measurement
BlueZoo’s audience measurement technology captures in-store screen impressions and engagement in real time. By normalizing point-of-sale revenue with accurate audience data, retailers can objectively compare ad performance across locations and formats.
Data-Driven Optimization
Together, these technologies create a closed-loop optimization workflow where the best-performing creative is identified based on actual revenue impact, not assumptions. This empowers teams to deliver more effective messaging, improve ROI, and refine audiences and content over time.
Explore the collaboration
As investment in retail media networks and digital signage grows, retailers and brands expect performance standards similar to online and out-of-home advertising.
By combining Google’s AI-powered video generation with BlueZoo’s privacy-first audience measurement and revenue attribution, this solution enables teams to:
- Rapidly generate high-quality in-store video creative
- Test ads in real retail environments
- Measure performance using impressions and actual sales
- Optimize campaigns based on data rather than intuition
- Improve return on ad spend through continuous learning
The result is better-performing in-store advertising, more relevant experiences for consumers, and creative decisions backed by measurable outcomes.
To learn more about this joint BlueZoo and Google solution or explore how AI-driven video optimization can support your retail media strategy, please contact the BlueZoo team.
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