📊 Sales Funnel Analysis

📌 Overview

This project analyzes user drop-offs at each stage of a sales funnel, providing insights into potential areas of improvement.

🗂 Dataset

The dataset consists of user interactions at different stages of the funnel:

1. Home Page → Entry point for users.
2. Search Page → Users search for products/services.
3. Payment Page → Users initiate the purchase process.
4. Confirmation Page → Successful transaction confirmation.

📉 Key Findings

• 50% drop-off from Home Page to Search Page.
• 86.66% drop-off from Search Page to Payment Page.
• 92.50% drop-off from Payment Page to Confirmation Page.

These insights indicate a significant drop-off at the payment stage, suggesting potential issues with user experience or trust.

📊 Visualization

Below is a visualization of the user drop-off across different stages:

🛠️ How to Run the Analysis

1️⃣ Clone the Repository

Run the following command in your terminal to clone this repository:

git clone https://github.com/andrewsatyo9/sales-funnel-analysis.git
cd sales-funnel-analysis

🚀 Future Improvements

• Investigate reasons for high drop-off rates.
• Recommend UX changes to improve conversion.
• Conduct A/B testing to measure the impact of design changes.

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Author: Andrew Jaya Satyo
LinkedIn: linkedin.com/in/andrew-jaya-satyo-1501992b4
Email: andrewjaya12345@gmail.com