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Challenge 8 - Airline Customer Loyalty

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Jul 8, 2025 12:37 PM
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Challenge 8: Airline Customer Loyalty

Level: Easy

Description: You work for a Canadian airline company that wants to better understand its most loyal customers. Before creating personalized offerings for this group, the company needs to uncover their demographics from the available data. As a Data Scientist, your task is to identify how these loyal customers are distributed across different demographic segments—such as gender, marital status, and so on—in each city. Who are the most loyal customers and how are they segmented in different locations? Hint 1: You can use loyalty points for calculating a basic loyalty score or combine multiple factors to create a more comprehensive one.

Dataset: Airline Loyalty Campaign Program

Beginner-friendly objectives: 1. Calculate Loyalty for each user; 2. Extract the most loyal users along with their information; 3. Find out how these customers are distributed in different demographic groups in each city.

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Created with KNIME Analytics Platform version 5.4.4
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