Google has updated to its embedded advertising system, using machine learning to improve the service it offers to publishers. The new system is designed for publishers that want to target ads based on a user’s browsing history, and will be rolled out in beta later this year. According to a blogpost by Google announcing the new system, it will apply to most types of ads including in-feed and matched content, with users being migrated over to the new system without having to reinstall new code to their sites.
Google has updated to its embedded advertising system, using machine learning to improve the service it offers to publishers. Adsense's Auto ads feature analyses clients' pages to find the most suitable ad placements and displays them when they are deemed likely to perform well. According to a blogpost by Google announcing the new system, it will apply to most types of ads including in-feed and matched content, with users being migrated over to the new system without having to reinstall new code to their sites.