Gen AI-driven hyper-personalization and
real-time customer data management
Brands and retailers that fail to prioritize customer centric strategies and personalized experiences risk losing customer loyalty and market share. 71% of consumers expect personalization and 76% are frustrated when they don’t find it. Number of customer touchpoints and data sources have exploded with customers on average using 4.3 devices and having 100's of active cookies and mobile identifiers, all while the privacy landscape becomes more regulated. The value of personalization has risen just as the understanding of customers has gotten harder.
AWS, Treasure Data, and Tredence are partnering to make it easier for organizations to better understand their customers and their journeys across owned & operated properties as well as paid media and then accelerate development of AI driven solutions to deliver personalized and serendipitous experiences at scale.
AWS provides the broadest and deepest set of machine learning and AI services on the most comprehensive cloud.
Treasure Data’s CDP helps organizations to improve campaign performance and operational efficiency by accelerating their ability to have a 360-degree view of their customers to deliver connected experiences at scale.
Tredence is a leading AI consultancy whose native AWS accelerators help to speed up deployment of Treasure Data’s Platform and accelerate AI solution development, reducing time and effort to implement and build by up to 50%.
Faster decisioning making, solution design and business case development from months to weeks using pre-built playbooks, best practices, and quick start assessments leveraging Amazon’s approach to innovation, Working Backwards.
Lower cost and faster development of Generative AI use cases leveraging Tredence’ s Gen AI Foundry to Factory accelerators for generative AI on Amazon Sagemaker and Bedrock, integrated with Treasure Data.
Up to 50% faster solution delivery of Treasure Data and 100+ AI/ML use cases for marketing and CX using prebuilt implementation accelerators.
Faster path to activating and measuring investments on Amazon Advertising using Treasure Data’s native integrations and Tredence’s prebuilt Amazon Advertising measurement and reporting accelerators.
Leading enterprise brand had significant customer acquisition and targeting issues and found that customers often started the initial application process but would not complete it.
The brand had a lot of information on customers but personalization on the website was limited to rules, that were clunky and didn't fully leverage all the attributes the brand had. Messaging and communications were not tailored to make customers feel like the brand really knew them.
The brand had a lot of information on customers but personalization on the website was limited to rules, that were clunky and didn't fully leverage all the attributes the brand had. Messaging and communications were not tailored to make customers feel like the brand really knew them.
Current customer in an authenticated state visits brand site
Generative AI Model generates a customer relevant prompt as a landing page notification
Website makes call to Treasure Data to pull customer profile
Customer takes an action and based on whether it was positive (progressed further in journey) or negative (abandoned site) the model learns from the interaction
Templatized Generative “prompt” is filled in with relevant customer attributes. “Create a poppop-up message for (SAM) who is a (High Value) Customer that is in the (Proactive Protagonist) behavioral segment
Current customer in an authenticated state visits brand site
Website makes call to Treasure Data to pull customer profile
Templatized Generative “prompt” is filled in with relevant customer attributes. “Create a poppop-up message for (SAM) who is a (High Value) Customer that is in the (Proactive Protagonist) behavioral segment
Generative AI Model generates a customer relevant prompt as a landing page notification
Customer takes an action and based on whether it was positive (progressed further in journey) or negative (abandoned site) the model learns from the interaction
360° view of customers
50% faster time to value
AI for Augmented Experiences
Human Centered Innovation
From Channels to Journeys
Scalable and Secure
360° view of customers
50% faster time to value
AI for Augmented Experiences
Human Centered Innovation
From Channels to Journeys
Scalable and Secure
Get started with Tredence solutions using
Treasure Data DataAI-CDP on AWS Marketplace.
