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Cpg Industry

Customer Segmentation & Personalization

Leading Beverage Company

Our customer analytics platform helped a beverage giant create hyper-personalized marketing campaigns, resulting in a 27% increase in conversion rates and 15% growth in customer lifetime value.

Conversion Rate Increase

27%

CLV Growth

15%

data-analytics

Challenge

The beverage company was using basic demographic segmentation for marketing campaigns, resulting in low engagement rates and poor ROI on advertising spend. They struggled to understand customer preferences and behavior patterns at a granular level.

Solution

We developed a comprehensive customer analytics platform that uses machine learning to create dynamic micro-segments based on purchase history, browsing behavior, social media activity, and demographic data. The platform enables hyper-personalized marketing campaigns across all channels.

Our Approach

  • 1

    Unified customer data from multiple sources into a single customer view

  • 2

    Implemented clustering algorithms to identify meaningful customer segments

  • 3

    Developed predictive models for product recommendations and next-best-action

  • 4

    Created a campaign optimization engine to maximize engagement

  • 5

    Designed real-time personalization capabilities for digital channels

Key Outcomes

27% increase in marketing campaign conversion rates

15% growth in average customer lifetime value

32% improvement in customer retention metrics

42% higher engagement rates across digital channels

22% reduction in customer acquisition costs

Technologies Used

Python
Apache Kafka
AWS
MongoDB
Segment
React
Node.js

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