Explore the Possibilities When Leading Brands Leverage Customer Data
Learn firsthand how Treasure Data CDP helps companies like yours embrace data to revolutionize engagement, elevate customer experiences, and drive growth.
Trusted by Enterprises Around the World
How customers grow their business with Treasure Data
Cameron Davies, Chief Data Officer, Yum! Brands
Cameron Davies, Chief Data Officer, Yum! Brands
Elizabeth Wright, Director of Marketing Intelligence, SCI
Elizabeth Wright, Director of Marketing Intelligence, SCI
Anheuser-Busch InBev increases marketing efficiency in 40 countries
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Case studies
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Game Developer Case Study
Discover how an online gaming leader boosted ROAS 65% with personalization.
Athletic Apparel Retailer Case Study
Increasing revenue per email by 760%, reducing churn, and growing engagement.
Automotive Case Study
Learn how a major automaker uses Treasure Data CDP for cross-channel personalization, lookalike targeting, lead scoring, and more.
Global Gaming Company
SEO & Social Media Description <200 characters Learn how a global gaming company uses Treasure Data CDP to save millions in ad spend optimization, orchestrate customer journeys, and achieve data privacy compliance.
Global Life Sciences Leader
Learn how a global pharmaceutical company uses Treasure Data CDP for email activation, maximizing LTV of top customers, enhancing sales automation, and global data security and privacy compliance.
Adult Beverages Company Case Study
Learn how a leading adult beverages company uses Treasure Data CDP for data integration and management, audience segmentation, and Identity resolution and profile unification.
Maruti Suzuki India Ltd. Case Study
Maruti Suzuki drives results, cuts ad spending, and creates profitable customer journeys with Treasure Data.
Stripe International Case Study
Learn how this apparel retailer and lifestyle brand uses Treasure Data CDP for personalized customer journeys, targeted selling in retail, and more.
Lion Case Study
Learn how CPG company Lion uses Treasure Data CDP for predictive analytics and advanced segmentation, unification of fragmented data, and to improve loyalty programs for high-value customers.