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.
See how algorithmic attribution models help marketers quantify the relative impact of each customer interaction.
See how Sky unlocked the power of their marketing cloud in 12 weeks and are delivering real incremental revenue.
Bring GA 360 clickstream data into your enterprise big data environment, quickly and easily.
Review the take on Syntasa’s marketing AI platform (sometimes called a CIP), as reported by 451 Research analysts.
See how Sky transforms VPC from Google into props.
[Recording from Syntasa’s 4.0 Launch and Learn event in London]
This is how WSP used AI-powered sentiment analytics to analyze 1,400+ community responses and shape Palm Beach County’s transportation plan.
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.
