New from Twilio: Linked Audiences in Twilio Segment for Amazon Redshift

Renowned customer engagement solutions provider Twilio recently announced the public beta availability of Linked Audiences in Twilio Segment for Amazon Redshift, a fully managed, cloud-based data warehouse service that allows users to analyze large amounts of data.

The integration was specially designed to make it easier for Twilio Segment and AWS customers "to build audiences, enrich their customer profiles and grow personalization at scale," said the companies.

Twilio has been a partner in the AWS Marketplace since 2021. Existing product integrations between Twilio Segment and AWS include native connections to Amazon Redshift, Amazon Kinesis, Amazon S3, Amazon Lambda, Amazon Personalize, and Amazon EventBridge.

Now, Linked Audiences is an intuitive audience-builder tool that equips both business-to-business and business-to-consumer marketers with the ability to explore the full spectrum of trusted customer data within Redshift and build a context-rich payload — without needing to write SQL or submit a ticket to the data team weeks in advance.

With Linked Audiences, Amazon Redshift users can create dynamic, context rich audiences that can drive effective personalized marketing campaigns that can increase engagement, according to Twilio.

Data teams can make the most of this self-service experience by linking unified profile data from Segment’s CDP with the existing comprehensive data model from the warehouse to a data graph within Segment that powers the Linked Audiences builder tool. This capability allows marketers to access a more complete and trusted view of customer interactions which data teams maintain, leading to more accurate targeting and personalized communications that can lead to better return on investment, according to Twilio and AWS.

“Ultimately, knowing your customer starts with knowing your data,” said G2 Krishnamoorthy, Vice President of AWS Analytics. “Businesses leveraging AWS and Twilio Segment are able to manage all of their customer interactions in a standardized way across their AWS Analytics and AI infrastructure, leading to better engagement and a stronger understanding of the customer.”