February 21, 2024
Treasure Data is one of the leading enterprise customer data platform (CDP) providers. Image: Treasure Data
Treasure Data has been named a leader in the inaugural 2024 Gartner Magic Quadrant for Customer Data Platforms (CDP).
The Gartner report evaluated 17 different CDP vendors on 15 criteria and placed Treasure Data in the Leaders quadrant for its “Completeness of Vision” and “Ability to Execute.”
“We’re proud to build on our heritage and reinvent the CDP with AI, real-time engagement and journey orchestration all in one platform,” said Kaz Ohta, cofounder/CEO of Treasure Data in a statement.
“As we empower organizations to expand the CDP beyond just marketing, we look forward to extending our position as a market leader,” he said.
Gartner's Magic Quadrant for Customer Data Platforms. Source: Gartner
Real intelligence
The Mountain View, California-based company aims to reinvent the CDP to better help all teams that rely on customer data enrich experiences across the entire customer lifecycle and at every moment of interaction.
Treasure Data CDP aims to help the world’s largest companies increase revenue by improving customer acquisition and growth, drive operational efficiencies that lower costs, and reduce risk using customer data across multiple teams and geographies.
“As a valued partner of AB InBev, Treasure Data has helped us unlock valuable insights and deliver exceptional experiences for our consumers across the globe,” said Luiz Gama, senior global martech manager for consumer data and CRM at Anheuser-Busch InBev, in a statement.
Anheuser-Busch InBev’s global Treasure Data CDP deployment spans more than 90 million unique consumer records, 42 countries and 2,000-plus unified data sources.
As Treasure Data reinvents the CDP to bring data and decisioning together and deliver the business outcomes its customers need most, its latest innovations include:
Accelerating time to insight and driving efficiencies with AI and machine learning
AI and machine learning are infused across Treasure Data CDP, from profile stitching to auto-segmentation and targeting. Treasure Data plans to release generative AI-assisted data analysis and exploration capabilities into its platform this year.
Enabling all customer-centric teams to deliver connected customer experiences
Treasure Data empowers teams across the company, including marketing, IT, service, sales and data science, to use its CDP to drive connected customer experiences. This allows customer data to be used across every interaction, from sales to service.
Powering more intelligent journeys with real-time interactions and insights Treasure Data unveiled Real-Time 2.0 CDP, one of the only enterprise solutions that combines both batch and real-time data processing at the profile level, which is accessible in Treasure Data’s unified journey management interface.
Please click or tap here to download Gartner’s Magic Quadrant for Customer Data Platforms report
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