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This project analyzes user engagement data to visualize the funnel stages from page_view to purchase. Using SQL and data visualization, it identifies drop-off points, calculates conversion rates, and provides insights to enhance user retention, optimize experiences, and boost conversions.

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ngangawairimu/Funnel-Analysis-project-

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Excel link: https://docs.google.com/spreadsheets/d/1v72IZxuNW3Cy09v3S3ILUNGIKjeK1uJBSnK8RYwWrb8/edit?usp=sharing

Overview

This project performs a funnel analysis of user engagement data. The primary goal is to visualize and understand the user journey across various interaction stages, including:

  • page_view
  • view_item
  • add_to_cart
  • begin_checkout
  • add_shipping_info
  • add_payment_info
  • purchase By identifying drop-off points between these stages, the analysis aims to provide actionable insights to improve user retention, enhance the user experience, and boost conversion rates.

Methodology

  • Focus on Key Stages:

The funnel is analyzed to track user progression through the critical stages listed above. Event counts and conversion rates are calculated at each step.

Country Segmentation:

The top three countries with the highest event counts are identified for deeper analysis. Data is enriched with country-specific insights using a mapping process.

Visualization:

Funnel progression and drop-off rates are visualized to highlight key trends and potential bottlenecks. Insights and Applications

Key Observations:

  • Critical drop-off points, such as from add_to_cart to begin_checkout, are identified. Regional differences in user behavior are analyzed to inform localized strategies.

Business Applications:

  • Marketing: Insights can inform targeted campaigns to re-engage users at high drop-off points.
  • Product Optimization: UX improvements can be implemented to streamline the user journey.
  • Strategy Development: Data-driven decisions can optimize resource allocation and improve overall conversion rates.

About

This project analyzes user engagement data to visualize the funnel stages from page_view to purchase. Using SQL and data visualization, it identifies drop-off points, calculates conversion rates, and provides insights to enhance user retention, optimize experiences, and boost conversions.

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