{"id":40674,"date":"2025-07-04T06:06:48","date_gmt":"2025-07-04T06:06:48","guid":{"rendered":"http:\/\/flwnet.com\/index.php\/2025\/07\/04\/how-future-is-using-its-own-ai-engine-to-turn-deeper-engagement-into-ad-dollars\/"},"modified":"2025-07-04T06:06:48","modified_gmt":"2025-07-04T06:06:48","slug":"how-future-is-using-its-own-ai-engine-to-turn-deeper-engagement-into-ad-dollars","status":"publish","type":"post","link":"http:\/\/flwnet.com\/index.php\/2025\/07\/04\/how-future-is-using-its-own-ai-engine-to-turn-deeper-engagement-into-ad-dollars\/","title":{"rendered":"How Future is using its own AI engine to turn deeper engagement into ad dollars\u00a0"},"content":{"rendered":"<p>Future is betting on AI to boost recirculation \u2013 and make that stickier audience more appealing to advertisers.<\/p>\n<p>The publisher\u2019s new proprietary AI-powered content categorization engine, called Advisor, acts like a \u201cbrain\u201d trained on Future\u2019s internal data, according to Jamie Samuel, head of commercial products at Future. Built into its audience data platform Aperture, Advisor lets Future quickly test an \u201cunlimited\u201d number of approaches to keep users engaged on its sites, ranging from chatbots to content recommendation widgets, he said.<\/p>\n<p>Advisor uses machine learning and OpenAI\u2019s large language models to analyze articles in real-time across Future\u2019s over 50 publications, including Marie Claire, Who What Wear, Tom\u2019s Guide and The Week.\u00a0<\/p>\n<p><em>Continue reading this article on <a href=\"https:\/\/digiday.com\/media\/how-future-is-using-its-own-ai-engine-to-turn-deeper-engagement-into-ad-dollars\/?utm_campaign=digidaydis&amp;utm_medium=rss&amp;utm_source=general-rss\">digiday.com<\/a>. Sign up for <a href=\"https:\/\/digiday.com\/newsletters\/?utm_campaign=digidaydis&amp;utm_medium=rss&amp;utm_source=general-rss\">Digiday newsletters<\/a> to get the latest on media, marketing and the future of TV.<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Future is betting on AI to boost recirculation \u2013 and make that stickier audience more appealing to advertisers. The publisher\u2019s new proprietary AI-powered content categorization engine, called Advisor, acts like a \u201cbrain\u201d trained on Future\u2019s internal data, according to Jamie Samuel, head of commercial products at Future. Built into its audience data platform Aperture, Advisor [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-40674","post","type-post","status-publish","format-standard","hentry","category-media-entertainment"],"_links":{"self":[{"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/posts\/40674","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/comments?post=40674"}],"version-history":[{"count":0,"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/posts\/40674\/revisions"}],"wp:attachment":[{"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/media?parent=40674"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/categories?post=40674"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/flwnet.com\/index.php\/wp-json\/wp\/v2\/tags?post=40674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}