Case Study: Iterable achieves deeper customer engagement with Databricks

Optimizing touch points across the entire customer journey

Iterable, a marketing and customer engagement platform serving more than 1,000 brands, needed a fully managed, scalable data and AI environment to simplify infrastructure, improve collaboration, and personalize customer experiences. Using Databricks Data Intelligence Platform, Iterable worked to overcome rigid data infrastructure while managing diverse data such as conversion events, user labels, and engagement patterns.

Databricks helped Iterable build Predictive Goals, a segmentation tool that uses first-party data to create goal-oriented predictive audiences, while also streamlining experimentation and model management with Delta Lake and MLflow. The result was faster prototyping, smoother team collaboration, stronger data governance, and improved productivity and creativity, with Databricks supporting over 5,000 pipelines, hundreds of models, and more than 2,000 projects.

Iterable

Sinéad Cheung

Principal Product Manager