Customer Journey Analysis

Mapped customer touchpoints to identify drop-off points and conversion bottlenecks. Analysis revealed specific steps where customers were getting stuck, leading to targeted improvements.


Overview

The company was experiencing lower conversion rates than expected but didn't know where customers were dropping off in their journey. They needed a clear understanding of the customer path from initial contact to conversion to identify specific problem areas.

Solution

I conducted a comprehensive customer journey analysis using Python and data analysis techniques. The work included:

  • Mapping all customer touchpoints across the entire journey
  • Analyzing conversion rates at each step
  • Identifying specific drop-off points and bottlenecks
  • Creating funnel visualizations to show the customer flow
  • Providing actionable recommendations for each problem area

Results

The analysis revealed specific steps where customers were getting stuck. By implementing targeted improvements at these critical points, conversion increased by 28% without requiring a complete system rebuild. The insights continue to guide ongoing optimization efforts.

Technologies Used

Python Data Analysis Funnel Analysis