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Survival Rate: Covariate Effects (Categorical & Continuous)

Intended audience: end-users data science developers

AO Easy Answers: 4.3

Overview

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Analyzes how customer characteristics or behaviors influence their likelihood of churn.


Purpose

Determine how categorical and continuous covariates influence customer retention or churn over time.


Business Example

Analyzing if customer grade (categorical) and accommodation cost (continuous) affect retention rates.


Scenario

  • Investigating how different customer segments (Premium, Standard, Basic) impact survival.

  • Evaluating if higher accommodation expenditure is associated with increased customer retention.


Results

  • Identification of customer segments associated with higher churn.

  • Quantified impact of accommodation costs on customer retention probabilities.


Data Sample

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Infographics Insight

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Full Story Insight

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End User Configuration - using Easy Answers solution

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