Twilio, a customer engagement platform, has unveiled a suite of new features designed to enhance interoperability between its Customer Data Platform (CDP) and various data warehouses and platforms.
According to Twilio, these updates will bridge the gap between real-time customer data and the extensive datasets housed in enterprise data warehouses, streamlining marketing strategies and amplifying artificial intelligence (AI) in customer engagement.
“Enhancing interoperability between Segment’s CDP with data platforms and warehouses helps businesses unlock the full power of their customer data,” said Thomas Wyatt, President at Twilio Segment. “The combination brings this critical data to life, making every customer touchpoint and insight immediately actionable. We think of it like turning an analog map into an active GPS system that provides real-time guidance when you need it most.”
The integration of Twilio Segment’s CDP with data lakes, warehouses, and lakehouses is increasingly becoming essential for operational activities, particularly in leveraging AI for predictive analytics. These platforms, traditionally reserved for data storage and analysis, are now pivotal in driving real-time customer engagement.
According to Twilio, over 1 trillion rows of data are synchronized to warehouses monthly on its Segment platform, underscoring the scale and significance of these capabilities.
One of the key new tools introduced is Linked Audiences, currently in public beta. This intuitive audience-building tool allows marketers — both B2B and B2C — to effortlessly merge real-time data from Segment’s CDP with comprehensive data from warehouses without the need for complex SQL coding. By providing a no-code interface, Linked Audiences enables users to create and refine audience segments rapidly, facilitating more precise targeting and improved marketing return on investment (ROI).
Operational and historical data
Linked Audiences not only simplifies data access but also enhances marketing agility by enabling marketers to respond swiftly to changing market conditions and customer behaviors. It effectively bridges the gap between real-time operational data and historical data, breaking down traditional data silos and promoting a dynamic exchange of information.
At the center of this innovation is Segment’s Data Graph, a framework that consolidates customer profiles and transforms static data warehouses into dynamic engines for business intelligence. By dynamically managing relationships between datasets, the Data Graph provides a comprehensive view of customer data, essential for effective decision-making. This empowers businesses to create detailed audience segments and seamlessly integrate this data into downstream tools for advanced analytics and automated marketing, further enhancing customer engagement strategies.