2022-2023
E-Commerce Segmentation Analysis
This project focused on segmenting customers based on purchasing behavior patterns to enhance marketing strategies for an e-commerce platform. By analyzing customer data, we aimed to improve targeting and retention rates, ultimately boosting customer engagement and sales.
Role
Data Analytics
Python Developer
Challenges
- Handling large volumes of unstructured customer data.
- Identifying meaningful patterns within complex datasets.
- Ensuring the segmentation model was aligned with marketing objectives and could be integrated into existing systems.
Goals
- To effectively segment customers based on purchasing behavior.
- To help the marketing team develop targeted campaigns and personalized strategies.
- To increase customer retention by 15% through improved targeting.
Outcomes
The project resulted in the identification of several distinct customer segments, enabling more targeted and personalized marketing campaigns. As a result, the company experienced a 15% increase in customer retention and engagement, leading to improved sales performance.
