Enhancing Customer Retention with Personalized Analytics

Overview_

Euvic empowered a global e-commerce client to improve customer retention by implementing personalized analytics. The solution focused on analyzing customer behavior, enabling targeted campaigns and enhancing the overall shopping experience. 

Client_

A global retailer aiming to boost customer loyalty and lifetime value through data-driven personalization.

Industry

E-commerce

Country

Denmark

Challenge_

The client faced significant challenges in retaining customers and optimizing their engagement strategies: 

  • Fragmented customer data: Disparate systems and siloed information limited a holistic understanding of customer behavior. 
  • Low retention rates: Lack of targeted campaigns and insights into customer preferences reduced loyalty. 
  • Inefficient analytics: Legacy tools couldn’t process the volume or complexity of customer data in real time. 
e-commerce
e-commerce
warehouse

Solution_

Euvic implemented a comprehensive analytics platform tailored to the client’s needs: 

  • Centralized customer data: Unified data from multiple touchpoints into a centralized warehouse. 
  • Behavioral segmentation: Developed machine learning models to identify customer segments based on behavior and preferences. 
  • Real-time analytics: Enabled real-time insights into customer interactions and shopping patterns. 
  • Personalized campaigns

Tools & technologies

SQL Server, SSIS, SSRS, SSAS

ETL

Power BI

Result_

The implementation achieved remarkable improvements: 

  • Increased retention: Improved customer retention by 20% within the first year through targeted re-engagement campaigns. 
  • Revenue growth: Boosted sales by 15% via personalized product recommendations and marketing efforts. 
  • Enhanced customer experience: Provided a tailored shopping journey, increasing customer satisfaction and repeat purchases. 
  • Operational efficiency: Automated campaign workflows reduced manual efforts and sped up execution timelines. 

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