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Activate lakehouse data for personalized customer engagement with Iterable and Databricks.

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Data Analytics

About Databricks

Databricks is the Data and AI company behind the Databricks Lakehouse Platform, which unifies data engineering, analytics, data science, and machine learning on an open, governed foundation. With scalable compute and strong governance, Databricks helps teams build reliable pipelines, train and deploy models, and operationalize insights across the business.

Databricks and Iterable

The Iterable + Databricks integration enables a two-way data flow between your lakehouse and customer engagement programs:

  • Unified measurement and attribution in the lakehouse: Export Iterable engagement outcomes with Data Sync into Databricks to analyze funnel impact, run incrementality tests, and connect marketing performance to product and revenue metrics.
  • Audience building and experimentation at scale: Build and refresh high-value audiences in Databricks, ingest them to Iterable for orchestration, and sync results back to Databricks to evaluate experiments and improve future targeting.
  • Activate predictive signals for real-time journeys: Use Databricks propensity/churn/LTV scores and event streams with Smart Ingest to trigger Iterable journeys and personalize content based on near-real-time customer signals.

Use cases

  • Stream Data into Iterable using Smart Ingest

    Import customer profiles and events from Databricks into Iterable to power segmentation, personalization, and real-time journey triggers—so teams can act on the most current behavioral and predictive signals stored in the lakehouse.

  • Analyze Engagement in Databricks using Data Sync

    Export Iterable engagement data (message sends, opens, clicks, bounces, unsubscribes, and other campaign outcomes) back to Databricks for analytics, attribution, experimentation measurement, and model training.