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Real-Time Customer Personalization at Scale
In today’s hyper-connected era, customers demand nothing less than instant access to tailor-made, meaningful content that resonates with their individual needs and preferences. Unleash the power of real-time data streaming to deliver personalized content to not just meet but exceed their expectations.
Transform Customer Engagement with In-the-Moment Personalization
Leverage the power of Confluent’s data streaming platform to create personalized and relevant content for your different customers segments to keep them engaged with your brand.
Deliver contextual content to your customers at the right time to increase loyalty and reduce customer churn.
Scale content seamlessly as your user base and audience segments expand.
Enable your data scientists and developers to analyze all data by improving data visibility, collection, and collaboration.
Reduce technical debt and TCO from legacy technologies such as message queues and data pipeline technologies.
Build with Confluent
Leverage key product features from Confluent’s cloud-native data streaming platform as building blocks to optimize and advance customer engagement.
Streaming Architecture
Data Architecture
Streaming Architecture
Aggregate, categorize and produce content in real time to Confluent Cloud.
Receive content, and serve interesting and relevant content for each user, in conjunction with intelligence provided by the Content Recommendation Service.
Keep a copy of the content for training ML models and archival purposes.
Keep track of the endpoints where the application is actively being used, and leverages the data for dashboard and reporting purposes.
Data Architecture
Stream-table joins enrich Active_Users data by joining User attributes and clickstream data, all in real time. Click data is further processed with windowed aggregates to capture popular content consumed in the last minute and content with the highest impressions, likes, and shares. Recommendation systems can leverage this data to deliver more relevant and personalized content to users. Learn more →
Enriched user profiles, enriched clickstream data, last-minute content, and content impressions encourage fanout, where numerous downstream consumers can reuse this data for various use cases.