Question: Is there a retail media platform that enables me to launch my own performance advertising business and maximize ad revenue?

If you want to start your own performance advertising business and squeeze as much ad revenue as possible out of your site, Moloco is a good option. Moloco's Retail Media Platform, one of its several modules, is geared for retailers and marketplaces. It uses machine learning to optimize performance and monetize existing audiences. With features like real-time data updates and predictive modeling, it can automate advertising work so it's more profitable.

Another powerful option is Criteo's Commerce Media Platform. The company offers a variety of modules, including commerce growth, video advertising and contextual ads. Using AI to optimize campaigns and analyze massive amounts of data, Criteo helps retailers activate and monetize their audiences across multiple touchpoints. Its abilities include predictive bidding, dynamic creative optimization and a Shopper Graph for detailed shopper insights, so it's a good option for taking your performance advertising to the next level.

If you want to show personalized and dynamic ads, Jivox has a cloud-based platform that personalizes ad content in real time. Jivox can help automate dynamic product ads, real-time personalization and advanced audience segmentation. With data clean rooms for privacy-first attribution and AI-powered recommendations, the platform can help you achieve major ROI lifts while maintaining high levels of personalization.

Admetrics is another AI-powered platform that optimizes e-commerce advertising performance with data insights and fast decision-making. With modules for business intelligence, marketing mix modeling and attribution tracking, Admetrics offers data that can help you make better decisions about budgeting and campaign optimization. It integrates with more than 50 shops and marketplaces, offers near-real-time data refresh and lets you set up your own attribution models to get the most out of your advertising.