In this case study, discover how Syntasa’s platform is enabling data scientists at a global airline to automatically ingest behavioral data and build propensity models.
Digital behavior isn’t like the other data that you’re used to. Its scale and complexity sink most projects. Learn how to keep your behavioral data pipelines afloat.
A global sportswear brand consolidates digital activity data across countries and platforms, enabling analysts provide a complete picture of their visitors’ journeys.
Bring Adobe Analytics clickstream data into your enterprise big data environment, quickly and easily.
Sheryl Kingstone, Research VP of Customer Experience & Commerce at 451 Research, discusses the role of data in improving the customer experience.
In this case study, read about how a global media company uses analytics for better customer insight.
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.
