This project involves analyzing customer behavior data to gain insights and make data-driven decisions. The dataset includes information about customer demographics, device usage, browsing behavior, and purchasing behavior.
- Understand the distribution and characteristics of customer demographics.
- Explore how different types of devices impact customer behavior.
- Investigate the relationship between browsing time, pages viewed, items added to the cart, and actual purchases.
- Segment customers based on their behavior and identify distinct customer groups.
- Analyze the customer journey and identify potential areas for improvement in the conversion funnel.
- Assess the impact of customer behavior on revenue generation and identify opportunities for increasing sales and customer engagement.
The dataset contains the following columns: - User_ID: Unique identifier for each customer. - Gender: Gender of the customer. - Age: Age of the customer. - Location: Location of the customer. - Device_Type: Type of device used for browsing. - Product_Browsing_Time: Amount of time spent browsing products. - 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.
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401customers churned -
99customers did not churn - In conclusion, the advised course of action is to focus on the following areas:
- Customer retention
- Customer engagement
- Customer satisfaction
- Customer loyalty