A leading international specialty retailer was struggling to unify customer data across multiple touchpoints, from in-store transactions to online and third-party service providers.
Without a centralized system, customer insights were fragmented, making it difficult to execute targeted marketing, analytics, and personalized engagement strategies.
The Situation:
A large international specialty offline / online retailer collecting customer data at POS, via online/mobile and through third-party service providers did not have a unified view of their customer available internally, nor a mechanism to deliver updated customer data to various communication channel partners, internal analytics resources or other third-party partners.
Our Solution:
To help the client gain a unified view of their customers, inteQ integrated data from multiple sources—including POS systems, online platforms, mobile apps, and third-party providers—using real-time API connections and daily file transfers.
We built a comprehensive master customer profile, ensuring that every interaction and data update was captured and maintained for a complete relationship history. To maximize the value of this data, we established multiple automated exports, seamlessly delivering up-to-date customer records to the client’s internal analytics teams, CRM platforms, and key third-party partners.
As a result, the client now has consistent, accurate customer insights across all channels, enabling them to optimize CRM strategies, enhance personalized marketing efforts, and make data-driven business decisions with confidence.
The Result:
The client now has access to a comprehensive database of over 25 million unique customer records, including detailed profile data and transaction history across North America and the European Union.
To further enhance usability, inteQ integrated the customer data warehouse into Snowflake, providing the client’s internal teams with seamless access to real-time insights.
This solution eliminated the need for the client to invest in building and maintaining their own data infrastructure, allowing them to leverage powerful analytics and reporting capabilities without the high costs and operational complexities.
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