Refunds reduction

Tom Papantos

0

Data Scientist

Marketing Analytics Specialist

Statistician

Python

scikit-learn

Visual Studio Code

Refunds is a huge pain point for businesses, therefore we wanted to understand which variables reduced the probability of a refund happening (same approach as used while maximizing customer LTV project).
Steps applied:
Took the dataset at an item level
Ran a logistic regression.
Coefficients interpretation.
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Posted Apr 9, 2024

Decrease Refunds by understanding what makes them unhappy about your products.

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Clients

Mott & Bow

Tags

Data Scientist

Marketing Analytics Specialist

Statistician

Python

scikit-learn

Visual Studio Code

Tom Papantos

Data Wizard: Analyst & Scientist 📊

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