Which data sources are utilized by AI-Powered Shopping Ads to optimize performance?

AI-Powered Shopping Ads leverage both historical performance data and product feed data to optimize advertising performance effectively. Historical performance data allows the system to learn from past trends and customer behaviors regarding how certain products performed in terms of clicks, conversions, and sales over time. This knowledge helps in making informed decisions about which products to promote and how to allocate budgeting effectively.

On the other hand, product feed data provides real-time information about the products being advertised, including attributes such as pricing, availability, descriptions, and images. This ensures that the ads are not only targeting the right audience but are also showcasing the latest product details that can influence purchasing decisions.

By integrating these two data sources, AI-Powered Shopping Ads can create a more dynamic and responsive advertising strategy that continually adapts based on observed performance trends and accurate product information, ultimately leading to better ad performance and increased ROI for advertisers.