PreView Adds Predicted Performance by Market, Demographic & Ad Format
Colin Pye
We are excited to announce the latest version of our PreView solution, which introduces the ability to predict attention scores and sales impact across countries, demographics (age, gender), and ad formats.
Realeyes Synthetic measurement is trained on 17mn+ sessions across 85+ countries and 85,000+ ads. The depth and breadth of this training dataset (which grows every day) has enabled Realeyes to enhance its models to deliver bespoke scoring and recommendations.
Realeyes customers can now score and optimize ads instantly against six dimensions in any combination:
For seasonal campaigns, we can also test the month and time in which the content will air, or the campaign is slated to launch.
A 2024 McKinsey report named “digital advertising” as one of its big areas of competition. One reason it cited is that AI and other new technologies will make digital ads more effective by enabling hyper-personalization of content at scale and improving the ability to deliver ads to very specific and precise target audience segments. This is exactly what PreView enables, and our most recent update will drive better ad effectiveness than ever before.
Here are some examples use cases that our updated PreView technology enables:
Drive Sales Impact
Maximize the ROI of each impression by lining up creative, audience and context most effectively.
Greater Media Efficiency
Avoid media waste by identifying which creative performs well against target dimensions such as market, gender, age segment, device, media platform, ad-format or duration.
Localize Global Creative
What works for one market may not perform as well in other markets. Testing creative across different markets can also surface new opportunities.
Accurate Targeting
Audience segments can have different attention profiles depending on the nature of the creative. Testing by segment surfaces which audience groups are most engaged with automated recommendations to optimize performance.
Precision Timing
Comparative testing of launch periods generates intelligence of when the best month or season is best to air campaign creative.
