This resource introduces a Customer Data NL2SQL 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.
This resource introduces a Customer Data NL2SQL 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.
Syntasa’s Speech-to-Text Solution converts audio into text, detects language, translates non-English text, and summarizes content with advanced machine learning. It integrates with Spark for efficient processing and automated monitoring. The solution includes sentiment and topic analysis, and real-time dashboards for easy tracking and visualization, providing deeper insights for data analysts.
OMES teamed up with Syntasa and Google to centralize data across state agencies, improving access, streamlining processes, and enabling better decision-making with advanced analytics and machine learning.
Boost customer trust and conversion with Syntasa’s real-time social proofing solution that enhances product credibility using live popularity stats and AI-powered review summaries.
A leading global electronics company partnered with Syntasa to replace rigid, rules-based retargeting with dynamic AI-powered audience segmentation. By implementing Syntasa’s Composable CDP, the company doubled conversion rates, cut ad spend by 42%, and expanded audience reach 9X—all without disrupting its existing MarTech stack.
A global electronics retailer partnered with Syntasa to streamline and automate the ingestion of complex data schemas into Adobe Experience Platform (AEP). By leveraging Syntasa’s Data Ready for CDPs solution, the team drastically cut schema creation time from days to under 30 minutes while enhancing data quality, reducing errors, and accelerating CDP deployment.
A leading streaming service with millions of users needed a better way to predict churn and personalize the viewer experience. Their customer data was fragmented across web, video, and subscription platforms—making it hard to act on user behavior in real time. Syntasa unified their data into a single customer view and applied AI to predict free trial cancellations with 93% accuracy on Day 1. With this insight, they launched targeted, in-the-moment messaging that converted more users and improved long-term engagement.
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.
