Project Overview

The Funnel Analysis project is an in-depth examination of customer journey stages, showcasing my expertise in SQL and Excel to track and analyze conversion rates. This analysis reveals where potential drop-offs occur, helping to optimize each stage for better conversion. The project covers each funnel stage in detail, highlighting critical metrics and insights into customer engagement.

Key Sections

• SQL Analysis
  Using SQL, I extracted and segmented data to analyze each stage of the funnel, focusing on key metrics like the number of users entering and exiting each stage, conversion percentages, and time-to-conversion. I applied SQL functions for aggregations, joins, and conditional statements to ensure accuracy in each stage's data representation.

• Excel Analysis
  I utilized Excel for data visualization and detailed analysis, creating charts to illustrate the conversion flow across stages. I also performed calculations to identify average conversion rates and pinpoint significant drop-off points, providing insights into potential areas for optimization.

  
  

Goals

• Track and analyze each stage of the customer journey funnel.

• Identify the stages with the highest drop-off rates to inform optimization efforts.

• Calculate and visualize conversion rates to understand customer engagement.

• Provide actionable recommendations to improve customer retention and conversion.

• Demonstrate data analysis proficiency using both SQL and Excel.