Customer Behaviour: Case Study

Download the dataset below to solve this Data Science case study on Customer Behaviour Analysis.

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.

Your task involves:

  • 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.

References to Solve this Data Science Case Study