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.
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.
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.
Learn how Syntasa helps marketers and analysts build and activate behavioral audience segments at scale—no coding required. See how smarter segmentation drives better results.
The World Bank partnered with Syntasa and Google Cloud to automate how it tracks and analyzes global FinTech innovation. Using Syntasa’s Sentiment Analytics Solution, the team replaced manual research with AI-powered pipelines, real-time dashboards, and multilingual sentiment analysis—all within a secure, private cloud environment.
