Customer loyalty and satisfaction are critical to the success of businesses. Loyal customers provide a steady source of revenue for businesses and are often less costly than new customers. In this project, we will develop strategies to increase customer loyalty by analyzing customer satisfaction surveys and feedback data.
Dataset Description
The data set we will create for this project will include customer demographic information, satisfaction survey results and customer feedback. The data set, like real-world data, is contaminated with incomplete, erroneous and outlier data.
CustomerID: Unique ID of the customer
Gender: Customer's gender (Male, Female, Other)
Age: Customer's age
Region: The region where the customer lives (North, South, East, West)
SubscriptionType: Subscription type (Basic, Standard, Premium)
SatisfactionScore: Satisfaction score (1-10)
Feedback: Customer feedback (Original text)
LoyaltyScore: Loyalty score (1-10)
Project Steps
Data Loading and First Look: We will load the dataset and get an overview. We will examine the structure of the data and detect missing or incorrect data.
Cleaning of Missing and Erroneous Data: We will fill in the missing values and correct the incorrect data. In this step, we will perform the necessary cleaning operations to ensure the accuracy and integrity of the data.
Customer Satisfaction Analysis: We will analyze satisfaction scores and feedback.
Customer Loyalty Analysis: We will determine loyalty levels by analyzing loyalty scores.
Visualization of Results: We will present the analysis results by visualizing them.
Strategy Development: Based on the results obtained, we will develop strategies to increase customer loyalty.
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