In this case study, read about how a global media company uses analytics for better customer insight.
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.
A global electronics retailer partnered with Syntasa to future-proof its digital marketing across North America, EMEA, and APAC. By deploying Syntasa’s Composable CDP, the company launched real-time in-session marketing, AI-powered personalization, and privacy-first data activation—resulting in over $180M in incremental revenue and a seamless, scalable customer experience.
A leading electronics retailer in the UK and Ireland partnered with Syntasa to transform its marketing and data operations amid increasing privacy regulations and rising customer expectations. By implementing Syntasa’s Composable CDP within its Google Cloud Platform environment, the retailer unlocked real-time insights, streamlined audience targeting, and activated AI-driven personalization—resulting in more than £100M in attributable revenue gains.
A global airline used Syntasa’s Composable CDP to unify loyalty, CRM, and behavioral data, enabling real-time identity resolution, predictive modeling, and automated audience activation. The result: improved ad performance, scalable personalization, and faster model deployment.
This resource explores how in-session marketing captures real-time visitor behavior to deliver personalized nudges, offers, and messages that drive conversions before a user leaves your site. By using machine learning to detect intent within seconds, it helps brands turn fleeting web sessions into revenue-generating opportunities.
This resource introduces a Customer Insights Agent that translates natural language questions into SQL queries using AI. It enables business users to access complex customer insights without needing SQL expertise, while maintaining transparency and governance for technical teams.
A state transportation agency used Syntasa’s Behavioral Sentiment Analytics to surface underserved communities and inform more equitable transportation planning through AI-powered insights.
