Case Study: Optimove achieves real-time, always-up-to-date customer 360 views with Confluent Cloud

Optimove Builds Real-time Customer Data Platform with Always-Up-To-Date Customer Views using Confluent Cloud

optimove, the Science‑First Relationship Marketing Hub, needed to expand its real-time customer data platform to maintain always-up-to-date customer 360 views and support machine-learning driven, self‑optimizing journeys. To meet this challenge, optimove adopted Confluent Cloud and Apache Kafka (using KSQL, Kafka Streams and the Confluent Schema Registry) to move from 24‑hour batch updates to an event‑driven, real‑time architecture.

Using Confluent Cloud, optimove built an event‑streaming framework that processes tens of thousands of events per second, enables real‑time joins and KSQL queries, and powers ML-based campaign optimization. Confluent’s managed platform reduced stress on external systems by up to 90%, cut administrative overhead (saving roughly one FTE/month, ~17%), opened new business opportunities, and delivered always‑current customer profiles that improve campaign effectiveness.

Optimove

Adam Abrams

Data Streaming Group Manager