In today’s omnichannel retail landscape, customer interactions span multiple touchpoints; from e-commerce platforms and in-store systems to third-party engagement channels. While this creates opportunities for deeper personalization, it also introduces significant complexity in managing and unifying customer data.
Without a consistent and reliable Customer360 view, retailers struggle to accurately identify customers, maintain data quality, and activate insights effectively. As data volumes grow and customer journeys become more dynamic, building a scalable, engineering-led foundation for identity resolution and data integration becomes critical to driving targeted engagement and measurable business outcomes.
Problem Statement
Despite significant investments in data, the retailer’s customer information remained fragmented across multiple online and offline systems. This led to duplicate records, inconsistent profiles, and limited visibility into customer behavior across channels. Disparate data sources, combined with complex integration requirements and strict governance needs, impacted data quality and slowed down the ability to generate reliable insights. As a result, marketing and targeting efforts lacked precision, making it difficult to effectively engage high-value customers and optimize campaign performance at scale.
Impact
- Brought about a 30% reduction in the number of duplicate customer entries
- Achieved a 95% reduction in the amount of reported data quality issues
- Improved the target conversion rates by about 13%
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