Enhancing Customer Retention with Personalized Analytics
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
Background
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.
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
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Technology Overview
Technology
SQL Server, SSIS, SSRS, SSAS
ETL
Power BI
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Technology
The Dream Team
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Results
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.
