Check out why Gartner named Syntasa a Cool Vendor in Personalization.
In this case study, read how a global retailer is driving innovation in both the products sold and the channels through which they are sold.
Use customer data with a behavioral context to discover the optimal path to conversion, retention, and profitability.
See how Lenovo’s business analytics team is simplifying complex datasets and making them actionable through the application of customized machine learning algorithms.
Hear from a data scientist at Lenovo, on how they’re using Syntasa to score purchasing intent, then segment and target customers at scale.
In this case study, read how Lenovo’s Business Intelligence team is working with Syntasa to score purchasing intent and build algorithmic models for retargeting.
A global cybersecurity company protecting hundreds of millions of users deployed Syntasa’s real-time intent scoring to personalize
experiences at the moment of decision. This drove measurable conversion uplift while protecting margin where it matters most.
Learn how AHCCCS partnered with Syntasa and Google Cloud to build an AI-powered opioid treatment locator that helps Arizonans find care.
Syntasa’s Customer Audience Agent lets teams build behavioural audiences in minutes using AI and natural language. It validates against live data, respects governance controls, and delivers activation-ready audiences without technical delays.
Syntasa’s Customer Insights Agent lets teams ask customer data questions in plain English and get real-time answers instantly. It runs in your own cloud, converts language to SQL, and removes reliance on dashboards and data teams for faster, confident decisions.
Traditional CDPs often fall short—delivering slow timelines, bloated systems, and delayed ROI. Syntasa’s Composable CDP changes the game with a warehouse-native, modular platform built to accelerate revenue from day one. This overview shows how leading retailers are using composable architecture to activate customer insights faster, personalize at scale, and drive measurable outcomes—all within their existing data warehouse.
Retail Media Networks (RMNs) are transforming how retailers monetize first-party data—but not all architectures are built to scale. This case study walks through the core decisions retailers must make to design a future-proof RMN. See why a composable, data-centric approach outperforms vendor-heavy models in cost, security, and long-term agility.
