Currently, the majority of ads — while designed for a targeted demographic audience — fall short as it relates to personalization and context. More intelligence in the creating and processing of ads is required to maximize ROI.
Goals and Objectives
In advertising, the goal of DCO technology is to rapidly build multiple iterations of an ad using the same base creative, while tailoring parts of the ad based on audiences, context, and past performance. This helps the ad resonate with consumers more effectively.
Native cloud-based application software that uses data analytics and advanced generative AI to apply to the ad creative process in real time to maximize ROI
Use Case Summary
Advertisers can use DCO for campaign types that include but are not limited to campaigns that adapt to audiences’ geographic locations, campaigns that vary by audiences’ interests, contextual campaigns that are dynamically tailored to web page or video content, and product-based campaigns that take into account other products that the target audience or specific consumer has viewed.
The predictive results of data analytics and advanced generative AI are historically based, adaptive to personalization, and contextual as an automated process where a promotional message is matched to relevant digital content. The algorithms underpinning contextual advertising select the advertisements based on keywords and other metadata included in the content.