Turn Clickstream Data into Sales: MongoDB Atlas Stream Processing Demo

📖 Read the full blog post: https://www.mongodb.com/company/blog/innovation/ai-powered-customer-retention-with-mongodb-real-time-behavioral-triggers 🧩 Explore this solution in the MongoDB Solutions Library: https://www.mongodb.com/docs/atlas/architecture/current/solutions-library/customer-retention/ Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 In this video, we walk through a real Customer Retention demo for retail: turning raw clickstream into behavioral signals (search friction, high intent, exit risk) using MongoDB Atlas Stream Processing, and automatically triggering a Next Best Action agent that responds with the right message at the right moment — discounts, social proof, free shipping — based on full customer context: profile, catalog, inventory, and promotions. All running on a single intelligent data layer in MongoDB — no complex pipelines, no hops between systems. Chapters: 00:00:00 - Traditional Systems vs Modern Retail Data Streams 00:00:53 - Solution Overview & Demo Introduction 00:02:58 - Live Demo: Real-Time Clickstream to Conversion 00:06:20 - System Architecture & Event Ingestion 00:07:03 - Two-Stage Stream Processing in Atlas 00:08:15 - AI Agent Orchestration & Vector Search 00:11:09 - Next Steps & Additional Resources Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers