{"id":52160,"date":"2026-03-19T15:00:05","date_gmt":"2026-03-19T19:00:05","guid":{"rendered":"https:\/\/www.demandgenreport.com\/?p=52160"},"modified":"2026-03-18T09:20:31","modified_gmt":"2026-03-18T13:20:31","slug":"liveramp-chalice-ai-partnership-offers-growth-scored-audiences","status":"publish","type":"post","link":"https:\/\/www.demandgenreport.com\/industry-news\/news-brief\/liveramp-chalice-ai-partnership-offers-growth-scored-audiences\/52160\/","title":{"rendered":"LiveRamp, Chalice AI Partnership Offers Growth Scored Audiences"},"content":{"rendered":"<p><a href=\"https:\/\/www.chalice.ai\/\">Chalice AI<\/a>, the platform-independent AI media decisioning company, has entered into strategic partnership with <a href=\"https:\/\/liveramp.com\/\">LiveRamp<\/a>, the leading data collaboration partner, making Chalice Growth Scored Audiences available directly within LiveRamp\u2019s ecosystem.<\/p>\n<p>LiveRamp customers can now activate audiences powered by growth scores derived from individualized predictive scoring across all U.S. households using fine-grained, first-party data signals. Rather than replicating trait-based segments, Chalice assigns a growth score to each household based on its predicted impact against a brand\u2019s specific business outcome.\u2014which are then\u00a0 activated within LiveRamp\u2019s ecosystem.<\/p>\n<p>By combining LiveRamp\u2019s identity and collaboration infrastructure with Chalice\u2019s individualized growth modeling, brands can operationalize predictive value at scale, without rebuilding their data architecture, according to officials from both companies.<\/p>\n<h3><strong>LiveRamp\u2019s Daniella Harkins<\/strong><\/h3>\n<p>With LiveRamp\u2019s identity infrastructure and Chalice\u2019s Growth Scores working together, brands can move beyond segmentation and activate individualized, outcome-driven audiences built to maximize measurable business impact.<\/p>\n<p>&#8220;Through the scale and power of our network, LiveRamp gives marketers a connective edge, connecting them with cutting-edge AI tools and AI platform leaders like Chalice to unlock new levels of audience precision and activation performance,&#8221; said Daniella Harkins, SVP, Product GTM at LiveRamp, in a statement. &#8220;Chalice&#8217;s Growth Scored Audiences will help LiveRamp customers move beyond static segmentation and activate data with greater precision and performance.&#8221;<\/p>\n<h3><strong>Drinking in Data from the Chalice<\/strong><\/h3>\n<p>The new offering is made possible by Chalice continuously training models on brand-controlled data. These individualized growth scores adjust as performance data evolves, allowing marketers to refine targeting and improve efficiency in real time.<\/p>\n<p>The result is a shift from similarity-based modeling toward answer-native intelligence that prioritizes the households most likely to drive measurable growth across platforms, including Meta, YouTube, TikTok, LinkedIn, Pinterest, and the open internet. LiveRamp customers can deploy score-powered audiences in days, accelerating time to value while maintaining strong privacy standards.<\/p>\n<p>\u201cLookalike audiences were built to find similarity,\u201d said Adam Heimlich, CEO of Chalice AI. \u201cGrowth scores are built to predict business impact. By assigning individualized growth scores instead of replicating segments, marketers can activate their data against the outcomes that actually drive value. Across early deployments, score-powered audiences have delivered approximately 20 percent lift across core performance KPIs, with even greater gains when optimizing toward high-value growth objectives.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chalice AI, the platform-independent AI media decisioning company, has entered into strategic partnership with LiveRamp, the leading data collaboration partner, making Chalice Growth Scored Audiences available directly within LiveRamp\u2019s ecosystem. LiveRamp customers can now activate audiences powered by growth scores derived from individualized predictive scoring across all U.S. households using fine-grained, first-party data signals. Rather [&hellip;]<\/p>\n","protected":false},"author":90,"featured_media":52177,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[19360],"tags":[20637,20636,15012,20634,20638,20635,14942,20617,20639,14497],"topic":[19126,19131,19132,19135,19138,19140,19141],"class_list":["post-52160","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-brief","tag-ai-media-decisioning","tag-audience-activation","tag-business-impact","tag-chalice-ai","tag-data-collaboration","tag-growth-scored-audiences","tag-liveramp","tag-marketing-innovation","tag-outcome-driven-audiences","tag-predictive-scoring","topic-b2b-advertising","topic-data-strategies","topic-demand-generation","topic-growth-marketing","topic-marketing-analytics","topic-personalization","topic-predictive-marketing"],"acf":[],"yoast_head":"<!-- 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