{"id":16219,"date":"2025-11-10T18:17:00","date_gmt":"2025-11-10T18:17:00","guid":{"rendered":"https:\/\/yohrt.com\/news\/meta-shares-insight-into-its-evolving-ai-powered-ad-targeting-process\/"},"modified":"2025-11-10T18:17:00","modified_gmt":"2025-11-10T18:17:00","slug":"meta-shares-insight-into-its-evolving-ai-powered-ad-targeting-process","status":"publish","type":"post","link":"https:\/\/yohrt.com\/news\/meta-shares-insight-into-its-evolving-ai-powered-ad-targeting-process\/","title":{"rendered":"#\n                Meta Shares Insight Into Its Evolving AI-Powered Ad Targeting Process"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/yohrt.com\/news\/meta-shares-insight-into-its-evolving-ai-powered-ad-targeting-process\/#Meta_Shares_Insight_Into_Its_Evolving_AI-Powered_Ad_Targeting_Process\" >Meta Shares Insight Into Its Evolving AI-Powered Ad Targeting Process<\/a><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Meta_Shares_Insight_Into_Its_Evolving_AI-Powered_Ad_Targeting_Process\"><\/span>\n                Meta Shares Insight Into Its Evolving AI-Powered Ad Targeting Process<br \/>\n            <span class=\"ez-toc-section-end\"><\/span><\/h1>\n<div>\n<div class=\"text-to-speech\">\n    <button class=\"text-to-speech__button button\"><br \/>\n        <img decoding=\"async\" class=\"text-to-speech__button__icon\" src=\"https:\/\/www.socialmediatoday.com\/static\/img\/play.svg?500116090725\" alt=\"\"\/><br \/>\n        Listen to the article<br \/>\n        <span class=\"text-to-speech__button__audio-length\">5 min<\/span><br \/>\n    <\/button><\/p>\n<div class=\"text-to-speech__controls\">\n        <audio controls=\"\" class=\"js-text-to-speech\" preload=\"none\"><source src=\"https:\/\/text-to-speech.divecdn.com\/newspost\/805164\/2025-11-10_14.53.28\/meta-outlines-evolving-ai-powered-ad-targeting-systems.wav\" type=\"audio\/mp3\"><\/source><\/audio><\/p>\n<div class=\"text-to-speech__controls__text\">\n            This audio is auto-generated. Please let us know if you have feedback.\n        <\/div>\n<\/p><\/div>\n<\/div>\n<p><span><span><span><span><span>Meta has <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/engineering.fb.com\/2025\/11\/10\/ml-applications\/metas-generative-ads-model-gem-the-central-brain-accelerating-ads-recommendation-ai-innovation\/\" style=\"color:#0563c1\">shared some new insights<\/a> into its evolving ad targeting systems, and how its expanding AI processing capacity is driving better results for advertisers through improved interest matching.<\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>And advertisers have been taking notice. More and more Meta ad partners have reported improved performance, with AI targeting helping to find customers whom they otherwise would have missed.<\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>In its <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/engineering.fb.com\/2025\/11\/10\/ml-applications\/metas-generative-ads-model-gem-the-central-brain-accelerating-ads-recommendation-ai-innovation\/\" style=\"color:#0563c1\">new overview<\/a>, Meta provides more insight into how its system works, and how it\u2019s driving broader performance improvements across all of Meta\u2019s ad offerings through ongoing improvement.<\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>As explained by Meta:<\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><em><span><span>\u201c<\/span><\/span><\/em><em><span><span><span><span>The <\/span><\/span><\/span><\/span><\/em><em><span><span><span>Generative Ads Recommendation Model (GEM)<\/span><\/span><\/span><span>\u00a0is Meta\u2019s most advanced ads foundation model, built on an LLM-inspired paradigm and trained across thousands of GPUs.\u00a0 It is the largest foundation model for recommendation systems (RecSys) in the industry, trained at the scale of large language models.\u201d<\/span><\/em><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>To be clear, Meta\u2019s been using advanced machine targeting for ads for years, with its vast troves of audience interest and engagement data enabling Meta to more accurately identify user interests, and display relevant ads accordingly.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>Indeed, before the latest wave of AI tools hit the market, Meta had already been using this same LLM-based approach to targeting for many years, but the re-framing of scaled data processing <\/span><\/span><\/span><\/span>as \u201cAI\u201d has changed the paradigm around how this is perceived.<\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>Essentially, Meta used to be criticized for facilitating psychographic targeting, based on the data that it has on its 3 billion users, including the Pages that they like, people that they\u2019re connected with, interests, traits, etc. <\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>But now, all of this is not only acceptable practice, under the banner of \u201cAI,\u201d but Meta\u2019s data is also considered a major advantage. And with this in mind, after weathering all of that blowback, you can see why Zuckerberg is so keen to claim the title as the leader in the AI space.<\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>Meta says that its latest GEM model presents a significant advance in its targeting systems,<\/span><\/span><span><span><span><span> by using \u201cmodel scaling with advanced architecture, post-training techniques for knowledge transfer, and enhanced training infrastructure to support scalability.\u201d <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><em><span><span><span><span>\u201cThese innovations efficiently boost ad performance, enable effective knowledge sharing across the ad model fleet, and optimize the use of thousands of GPUs for training. GEM has driven a paradigm shift in ads RecSys, transforming ad performance across the funnel &#8211; awareness, engagement, and conversion &#8211; through joint optimization of both user and advertiser objectives.<\/span><\/span><\/span><\/span>\u201d<\/em><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>In summary: More people click ads, more ad customers sell stuff.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>In terms of performance specifics, Meta says that its updated system is now:<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<ul>\n<li><span><span><span><span><span><span><span>4x more efficient at driving ad performance gains<\/span><\/span><\/span><span><span><span>\u00a0for a given amount of data and compute than its original ads recommendation ranking models.\u00a0<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li><span><span><span><span><span><span><span><span>2x more effective at knowledge transfer, helping to optimize broader ad performance.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li><span><span><span><span><span><span><span><span>Faster and more effective based on larger compute capacity, enabling more effective scaling of ad results.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p><span><span><span><em><span><span><span><span>\u201cGEM is trained on ad content and user engagement data from both ads and organic interactions. From this data, we derive features that we categorize into two groups: sequence features (such as activity history) and non-sequence features (such as user and ad attributes &#8211; e.g., age, location, ad format, and creative representation). Customized attention mechanisms are applied to each group independently, while also enabling cross-feature learning. This design improves accuracy and scales both the depth and breadth of each attention block, delivering 4\u00d7 the efficiency of our previous generation of models.<\/span><\/span><\/span><\/span>\u201d<\/em><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>So Meta\u2019s ad system now has more systematic capacity, enabling it to process more information, and find more correlating data signs, leading to improved ad performance.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>Which is also reflected in the performance data. <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>Meta has previously shared that advertisers utilizing its various AI\u2013powered ad targeting options have seen notably improved ad performance, while it\u2019s also revealed plans to eventually <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.marketingdive.com\/news\/meta-plans-to-enable-fully-ai-automated-ads-by-2026\/749613\/\" style=\"color:#0563c1\">automate the entire ad creation process<\/a>, using these evolving systems to essentially create your ad, optimize your targeting, and manage your budget, without you needing to do anything but input your product URL.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>That\u2019s how much faith Meta has in its ad systems to drive improved performance over time.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span><span><span>Meta\u2019s GEM system works in tandem with Meta\u2019s \u201c<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.facebook.com\/business\/news\/ai-innovation-in-metas-ads-ranking-driving-advertiser-performance\" style=\"color:#0563c1\">Lattice<\/a>\u201d architecture, and its \u201c<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.facebook.com\/business\/news\/ai-innovation-in-metas-ads-ranking-driving-advertiser-performance\" style=\"color:#0563c1\">Andromeda<\/a>\u201d models, which all play their own role in optimizing your Meta ad targeting.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<ul>\n<li><span><span><span><span><span><span><span><span>Lattice is what Meta calls its \u201cad library,\u201d which powers ad ranking, ensuring optimal placement for each campaign<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li><span><span><span><span><span><span><span><span>Andromeda is Meta\u2019s personalization model, which ensures ad relevance based on each user\u2019s engagement history and interests \u00a0<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p><span><span><span><span><span>In combination, these systems ensure greater ad relevance, utilizing Meta\u2019s ever-growing tech stack to learn more about each user\u2019s preference, and enhance targeting accordingly.<\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>Which, again, at Meta\u2019s scale, means processing a heap of data points, which can lead to highly accurate, highly valuable ad results. <\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>I mean, back in 2015, reports suggested that Facebook already had enough data to infer virtually everything about you, based on your in-app activity. <\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>That capacity has been super-powered by the latest AI models, leading to better ad performance across the board. <\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span><span><span><span><span>It\u2019s interesting to consider Meta\u2019s capacity in this respect, and it could be worth trying out Meta\u2019s evolving AI-powered ad options, via <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.facebook.com\/business\/ads\/meta-advantage-plus\" style=\"color:#0563c1\">Advantage+<\/a>, to see what results you get. <\/span><\/span><\/span><\/span><\/span><\/p>\n<\/p><\/div>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/yohrt.com\/news\/social-media\/\" target=\"_blank\" >Social Media<\/a><\/span> category.<\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/www.socialmediatoday.com\/news\/meta-outlines-evolving-ai-powered-ad-targeting-systems\/805164\/\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Meta Shares Insight Into Its Evolving AI-Powered Ad Targeting Process Listen to the article 5 min This audio is auto-generated. Please let us know if you have feedback. Meta has shared some new insights into its evolving ad targeting systems, and how its expanding AI processing capacity is driving better results for advertisers through improved&#8230;<\/p>\n","protected":false},"author":1,"featured_media":16220,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/imgproxy.divecdn.com\/fxbFzWCnsdNth6VbiwGUleCME6s6N4SPoDyPGf24SLQ\/g:ce\/rs:fit:770:435\/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9tZXRhX2dlbS5wbmc=.webp","fifu_image_alt":"","footnotes":""},"categories":[3],"tags":[1424,1448,1442],"class_list":["post-16219","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-social-media","tag-facebook","tag-instagram","tag-social-marketing"],"_links":{"self":[{"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/posts\/16219","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/comments?post=16219"}],"version-history":[{"count":0,"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/posts\/16219\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/media\/16220"}],"wp:attachment":[{"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/media?parent=16219"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/categories?post=16219"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yohrt.com\/news\/wp-json\/wp\/v2\/tags?post=16219"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}