Case Study · Retail

Predictive CRM automation for an omnichannel retailer

RetailTechnical
3.1xcampaign ROI

Connected behavioral data to automated lifecycle journeys, lifting retention and personalizing engagement across millions of customers.

3.1x

campaign ROI

+27%

repeat purchase rate

12M+

customer profiles unified

Challenge

Purchase, browsing, and loyalty data lived in separate systems, so lifecycle campaigns ran on stale segments instead of real-time behavior, and marketing couldn't prove which campaigns actually drove revenue.

Approach — build steps

  1. 01Unified behavioral, transactional, and loyalty data into one real-time customer profile.
  2. 02Built automated lifecycle journeys triggered by live behavioral signals rather than batch segments.
  3. 03Instrumented every journey with attribution back to revenue, not just engagement metrics.

Results

Campaign ROI tripled once targeting shifted from batch segments to real-time behavior.

Repeat purchase rate climbed as journeys responded to browsing signals within minutes.

Marketing could finally attribute revenue to individual campaigns with confidence.

Stack & Tags

Behavioral DataLifecycle AutomationAttributionData Cloud

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