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A nationwide bonus points campaign wasn’t hitting the mark for a leading US convenience chain. We stepped in with an ML–driven framework on Databricks to measure real impact, identify what worked, and simulate better outcomes. The result? $400K saved in promotional spend, continuous improvements, and a 10% lift in campaign performance across 5,000+ stores.
Boosting Customer Engagement and Campaign ROI with ML on Databricks for a Leading US Convenience Store Chain
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