{"slug":"relay42-predicts-customer-conversion-likelihood-to-power-personalized-journeys","url":"https://findausecase.com/use-cases/relay42-predicts-customer-conversion-likelihood-to-power-personalized-journeys","title":"Relay42 predicts customer conversion likelihood to power personalized journeys","description":"Relay42, a Customer Data Platform (CDP), uses customer data on the Databricks Data + AI Platform to predict how likely a shopper is to convert; the prediction feeds a decision engine based on anonymized PII to build customer profiles that inform next-best-action messaging. For example, a major Singapore telecommunications client uses this to determine what messages to send shoppers researching phone plans and when. The migration from Hadoop/Cassandra to Databricks cut time to deliver complete customer data from 20-24 hours to 1.5 hours and real-time analytics from 8 hours to about 15 minutes, saving over €180K/year in storage costs.","company":"Relay42","industry":"Technology & Software","aiCapabilities":["Recommendation & Personalization","Predictive Analytics"],"businessFunctions":["Marketing"],"technology":["Delta Lake"],"deployment":"Public Cloud","problemStatement":"Relay42's legacy Hadoop infrastructure struggled with the tremendous amounts of data to be stored, processed and analyzed, creating stability issues that impacted data accessibility and time-to-insight for their customers.","solutionApproach":"As a Customer Data Platform, Relay42 gives digital experts complete control over customer data to create real-time personalized customer journeys on all channels; with Databricks Data + AI Platform and Delta Lake, Relay42 can now deliver reliable data to its customers quickly and consistently.","businessValue":"What used to take 20–24 hours to make complete customer data available now takes 1.5 hours, real-time analytics that took upwards of 8 hours can be done in almost 15 minutes, and Relay42 is saving over €180K in data storage costs per year.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/relay42","dates":{"publishedAt":"2026-10-08T05:46:01.886Z","publishedAtSource":"pipeline","updatedAt":"2026-10-08T05:46:01.886Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/relay42-predicts-customer-conversion-likelihood-to-power-personalized-journeys. Bulk republication requires permission."}