Tour and Travel Customer Churn Dashboard: Analyzing customer behavior in the tour and travel industry to predict churn and enhance retention strategies through actionable insights.

Overview:

• Comprehensive analysis of factors influencing customer churn in the tour and travel sector.
• Focus on frequent flyer trends, service preferences, and demographic insights to identify key patterns.
• Aim to predict customer churn and retention trends effectively.

Objective:

• Identify critical factors driving customer churn and retention.
• Deliver actionable insights to improve retention strategies for tour and travel businesses.

Key Features:

• Frequent Flyer Count by Age: Visualizes the distribution of frequent flyers across age groups to identify key demographics.
• Service Opted by Age: Correlation analysis between age groups and service preferences, highlighting popular services by age bracket.
• Service Opted and Customer by Income Class: Explores variations in service preferences across annual income classes.
• Hotel Booking Preferences: Identifies patterns in hotel choices, supporting targeted marketing strategies.
• Target Count Analysis: Breaks down churn-prone customers versus retained ones for focused retention efforts.
• Account Synced to Social Media: Examines how social media engagement impacts customer retention rates.
• Target Customers and Total Customer Count: Compares at-risk customers to total customer count, assessing retention strategy impact.
• Filtered Analysis by Age: Provides age-specific trends and behavior insights through segmented data analysis.

Conclusion:

• The analysis emphasizes personalized strategies to minimize customer churn.
• Findings underscore the importance of age and income in service preferences and social media engagement.
• Identified patterns in hotel bookings can refine marketing approaches.
• The insights contribute to enhancing customer retention strategies in the travel industry.

Tools Used:

• Power BI: To create interactive dashboards and visualizations.
• DAX (Data Analysis Expressions): Used for data modeling and advanced calculations in Power BI.