Case Studies Retail / QSR
Global QSR brand
Networked customer intelligence
Customer intelligence across QSR brands—real-time loyalty offers in-store, in-app, and in campaigns, while brand and CMO autonomy stay intact. Unified hub, high-cardinality feature store, golden products, propensity models, Reverse ETL to Braze and others.
Databricks · Confluent · Apache Kafka · Kafka Connect · Braze
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Customer
A global quick-service restaurant brand portfolio. Loyalty and offers have to feel local to each brand’s guests, and still compound as shared customer intelligence across the estate.
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Challenge
Drive loyalty through real-time offers across in-store experience, app, and campaigns—without collapsing brand and CMO autonomy into one marketing monoculture.
Enriched insight had to travel as shared products and features, not as a mandate that every brand surrender its voice.
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Work
Built a unified data hub on Databricks, Confluent, and Kafka Connect. Stood up a feature store for high-cardinality user attributes. Published golden data products—Customer 360, Product, and Campaign Performance—and propensity modelling across the brand / product / regional portfolio.
Ingested clickstream across properties and Google Analytics. Reverse ETL into Braze and other activation systems so offers could fire in-store, in-app, and in campaigns from the same hub.
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Impact
- Networked customer intelligence across brands with brand & CMO autonomy preserved
- Real-time loyalty offers on in-store, app, and campaign surfaces
- Golden products (Customer 360, Product, Campaign Performance) + high-cardinality feature store
- Propensity across brand / product / region; Reverse ETL to Braze and activation partners
