This project directly addresses a critical challenge for customer segmentation in e-commerce & retail industries. By mapping data points to marketing campaigns, this analysis aims to maximize customer retention and ROI by clearly understanding customer values and behaviors.
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🚨 Business Problem (Click to expand)
Traditional e-commerce platforms struggle against constraints such as:
- Limited budget allocation across marketing channels.
- Ineffective campaigns that fail to convert or retain distinct buyers.
- Misalignment between promotional spend and actual customer lifecycle value.
🎯 Primary Objectives (Click to expand)
To overcome these business hurdles, the project targets three execution pillars:
- Comprehensive Data Analysis: Uncovering crucial underlying commercial trends and insights.
- RFM Segmentation Framework: Utilizing standard marketing models (Recency, Frequency, Monetary) to group customers for validating loyalty & re-engagement strategies.
- Data Infrastructure: Developing an interactive dashboard derived from actionable business insights alongside a reproducible, stable data pipeline.
- RFM Engine: A marketing framework grouping users by buying freshness, frequency, and spending volume.
- Reproducible Pipeline: Modular logic built for refreshing upcoming incoming batches automatically.
- Actionable UX: Clean UI tracking historical user behavior changes directly for business managers.