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Tracking Customer Purchase Patterns for Targeted Marketing

8 Inputs
15 Minutes
Intermediate
scenario poster
Industry
e-commerce
Skills
data-wrangling
data-quality
approach
Tools
python

Learning Objectives

Understand and apply data transformation techniques to facilitate easier analysis
Understand and apply window functions

Overview

The marketing team at GlobalMart wants to analyze customers' purchasing patterns to identify trends and opportunities for targeted marketing campaigns.

They are specifically interested in understanding the time gap between consecutive purchases made by each customer.

By determining the time difference between purchases and counting the cumulative number of orders, they aim to design personalized campaigns that encourage frequent purchases.

Prerequisites

  • Familiarity with Pandas library for data manipulation.
  • Knowledge of basic data merging and joining techniques.
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