{"id":78894,"date":"2025-04-23T08:00:00","date_gmt":"2025-04-23T15:00:00","guid":{"rendered":"https:\/\/blog.mozilla.org\/?p=78894"},"modified":"2025-05-07T14:01:04","modified_gmt":"2025-05-07T21:01:04","slug":"anonym-private-audiences","status":"publish","type":"post","link":"https:\/\/blog.mozilla.org\/en\/advertising\/anonym\/anonym-private-audiences\/","title":{"rendered":"Ads performance, re-imagined. Now in beta: Anonym Private Audiences."},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"576\" src=\"https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-1024x576.png\" alt=\"A pixelated padlock icon with a fingerprint pattern, symbolizing digital privacy and security, on a mint green background.\" class=\"wp-image-79087\" srcset=\"https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-1024x576.png 1024w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-300x169.png 300w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-768x432.png 768w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-1536x864.png 1536w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-1000x563.png 1000w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail-1280x720.png 1280w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/Mozilla_Anonym_Privacy_Thumbnail.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Together, Mozilla and Anonym are proving that effective advertising doesn\u2019t have to come at the cost of user privacy. It\u2019s possible to deliver both \u2014 and we\u2019re building the tools to show the industry how.<\/p>\n\n\n\n<p><strong>Today, we\u2019re unveiling Anonym Private Audiences: a confidential computing solution allowing advertisers to securely build new audiences and boost campaign results.<\/strong><\/p>\n\n\n\n<p>Powered by advanced privacy-preserving machine learning, Anonym Private Audiences enables advertisers and platforms to work together using first-party data to create targeted audiences without ever handing their users\u2019 information to one another. Brands can discover and engage look-alike communities \u2014 reaching new high value customers \u2014 without sending, or exposing their customers\u2019 data to ad platforms. As the evolving advertising landscape makes third-party data less viable, Private Audiences supports privacy while enabling the performance advertisers have come to expect.<\/p>\n\n\n\n<p>Private Audiences employs differential privacy and secure computation to minimize the sharing of data commonly passed between advertisers and ad networks. It operates separately, and is not integrated with, our flagship Firefox browser.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why advertisers are turning to Private Audiences<\/strong><\/h2>\n\n\n\n<p>Advertisers today are facing a difficult challenge: how to grow their business without breaking the trust of the people they\u2019re trying to reach. Private Audiences was built to meet that moment \u2014 helping teams use the data they already have to find new high-value customers, without giving up data control along the way.<\/p>\n\n\n\n<p>Early adopters are already seeing meaningful gains, with campaign performance improving an&nbsp;<strong>average of 30%<\/strong>&nbsp;compared to traditional broad targeting. And the reasons why it\u2019s resonating are relevant to any brand looking to grow smarter and more sustainably:<\/p>\n\n\n\n<ul>\n<li><strong>Find the right people, not just more people. <\/strong>Predictive machine learning helps advertisers reach new audiences that look and behave like their best customers \u2014 improving efficiency without ramping up spend.<\/li>\n<\/ul>\n\n\n\n<ul>\n<li><strong>Keep trust intact. <\/strong>In sectors where privacy expectations are highest, early adopters are showing that it\u2019s possible to respect user\u2019s privacy and still drive results.<\/li>\n<\/ul>\n\n\n\n<ul>\n<li><strong>Use what you already know. <\/strong>Private Audiences works with the tools teams already rely on. Audiences show up in platform-native interfaces, so there\u2019s nothing new to learn or configure.<\/li>\n<\/ul>\n\n\n\n<ul>\n<li><strong>Stay ahead of shifting standards. <\/strong>Private Audiences is built on privacy-first architecture \u2014 helping brands keep pace with evolving norms, expectations, and technical requirements.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Private Audiences protects user privacy<\/strong><\/h2>\n\n\n\n<p>In most audience-building workflows today, advertisers integrate directly with ad platforms to share customer data\u2014 whether through raw file uploads or automated server-to-server transfers. The platform then uses that data to build \u2018look-alike\u2019 audiences or, in some cases, retarget those same individuals directly. Anonym\u2019s approach enables businesses to retain full control over their user data and employ gold standard protections, which are particularly important in privacy-sensitive industries and regions.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Private Audiences takes a fundamentally different approach<\/strong><\/h2>\n\n\n\n<p>Instead of sharing data directly with platforms, brands securely upload a list of high-value customers using a simple drag-and-drop interface. That data is encrypted and processed inside Anonym\u2019s Trusted Execution Environment (TEE), where audience modeling happens in isolation. No data is exposed \u2014 not to Anonym, and not to the platform. Anonym trains the model, ranks eligible audiences based on likely performance, and returns a ready-to-use audience segment. Anonym\u2019s ad platform partners only learn which of their existing users to include in the audience \u2013 they receive no new personal information or audience attributes. When the process is finished, the TEE is wiped clean.<\/p>\n\n\n\n<p>The result: strong performance, without giving up data control or compromising on privacy.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"576\" src=\"https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-1024x576.png\" alt=\"Diagram illustrating how Anonym's machine learning identifies users similar to an advertiser's high-value customers based on shared attributes.\" class=\"wp-image-78895\" srcset=\"https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-1024x576.png 1024w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-300x169.png 300w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-768x432.png 768w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-1536x864.png 1536w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-2048x1152.png 2048w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-1000x562.png 1000w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2025\/04\/finalv2-1280x719.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Breakthrough performance and privacy capabilities with Private Audiences, and more<\/strong><\/h2>\n\n\n\n<p>Private Audiences joins the ranks of Anonym\u2019s <a href=\"https:\/\/blog.mozilla.org\/en\/advertising\/anonym\/anonym-technology-overview\/\">other<\/a> solutions: Private Attribution, which enables accurate view-through attribution without user tracking, and Private Lift, which helps advertisers understand incrementality without exposing identities. Together, Anonym\u2019s tools represent a new foundation for digital advertising trust \u2014 a solution portfolio built on transparency, accountability, and respect for the people it reaches.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Because trust isn\u2019t optional \u2014 it\u2019s foundational<\/strong><\/h2>\n\n\n\n<p>Mozilla has always believed privacy is a fundamental human right, and we will continue our relentless focus on designing and delivering products and services to protect it. Advertising performance \u2014&nbsp;as much as privacy \u2014&nbsp;is a foundational part of this journey.&nbsp;<\/p>\n\n\n\n<p>Anonym Private Audiences is currently in closed beta, supporting early-use cases where privacy matters most. We\u2019re excited to partner with all advertisers seeking a better way to build high-performing audiences without compromising your customers\u2019 trust.&nbsp;&nbsp;<\/p>\n\n\n\n<p>For a deeper dive or beta participation details, <a href=\"https:\/\/www.anonymco.com\/contact-us\">get in touch with us here.<\/a><\/p>\n\n\n\n<a class=\"ft-c-inline-cta\" href=\" https:\/\/www.anonymco.com\/\">\n  <div class=\"ft-c-inline-cta__media\">\n  <img loading=\"lazy\" width=\"800\" height=\"800\" src=\"https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-800x800.png\" class=\"attachment-1x1 size-1x1\" alt=\"Text reads Anonym on a black background.\" decoding=\"async\" srcset=\"https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-800x800.png 800w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-300x300.png 300w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-1024x1024.png 1024w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-150x150.png 150w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-768x768.png 768w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage-1000x1000.png 1000w, https:\/\/blog.mozilla.org\/wp-content\/blogs.dir\/278\/files\/2026\/03\/logo-Anonym_LinkedIn_ProfileImage.png 1080w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>  <\/div>\n  <div class=\"ft-c-inline-cta__content\">\n     <h3>Performance, powered by privacy<\/h3>      <span>Learn more about Anonym<\/span>   <\/div>\n<\/a>\n","protected":false},"excerpt":{"rendered":"<p>Together, Mozilla and Anonym are proving that effective advertising doesn\u2019t have to come at the cost of user privacy. It\u2019s possible to deliver both \u2014 and we\u2019re building the tools to show the industry how. Today, we\u2019re unveiling Anonym Private Audiences: a confidential computing solution allowing advertisers to securely build new audiences and boost campaign [&hellip;]<\/p>\n","protected":false},"author":144,"featured_media":79087,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[464322,464282],"tags":[4708],"coauthors":[306191],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ads performance, re-imagined. 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