Consumer Behaviour Analysis

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Overview

Customer Behavior Analysis is the process of examining how customers interact with a product, service, or platform to understand their actions, preferences, and decision-making processes.

We have a dataset that captures the behavior of e-commerce customers. The dataset contains the following columns:

• User_ID: Unique identifier for each customer.
• Gender: Gender of the customer (e.g., Male, Female).
• Age: Age of the customer.
• Location: Location of the customer.
• Device_Type: Type of device used for browsing (e.g., Mobile, Tablet, Desktop).
• Product_Browsing_Time: Amount of time spent browsing products (in minutes).
• Total_Pages_Viewed: Total number of pages viewed during the browsing session.
• Items_Added_to_Cart: Number of items added to the shopping cart.
• Total_Purchases: Total number of purchases made.

Objectives

• Understanding the distribution and characteristics of customer demographics (e.g., age, gender, location).
• Exploring how different types of devices are used by customers and their impact on behavior.
• Investigating the relationship between browsing time, pages viewed, items added to the cart, and actual purchases.
• Segmenting customers based on their behavior and identifying distinct customer groups.
• Analyzing the customer journey and identifying potential areas for improvement in the conversion funnel.
• Assessing the impact of customer behavior on revenue generation and identifying opportunities for increasing sales and customer engagement.