Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Understand your customers like never before using SQL-driven segmentation and behavior analysis.
Business Overview:
Customer Analysis and Segmentation empowers you to explore customer behavior and purchasing patterns with hands-on SQL. Built for data analysts, marketers, and business intelligence professionals, this guide helps you dive deep into real-world e-commerce datasets. You’ll write SQL queries to perform RFM segmentation, lifetime value calculation, geographic analysis, and track customer growth—all within a PostgreSQL-compatible relational database. These insights are essential for driving personalized marketing, boosting customer retention, and maximizing revenue.
Product Highlights:
- A structured PDF guide featuring 4 advanced SQL use cases tailored to customer analytics
- Real-world e-commerce scenarios focused on segmentation, CLV, and purchase trends
- PostgreSQL-compatible relational schema with 14 interconnected tables
- Ideal for marketing analysts, e-commerce strategists, and BI practitioners
- Perfect for building portfolio-ready customer intelligence projects
Learning Outcome:
By completing these use cases, you’ll gain skills in:
- Using RFM segmentation to classify customer types
- Calculating customer lifetime value (CLV) and profitability
- Tracking registration trends and customer acquisition growth
- Analyzing customer activity by geography for targeted strategies
This dataset provides address-level data for customers, including city, state, and country fields.
- Enables geographic segmentation, revenue mapping, and market expansion analysis.
- Useful for location-based customer insights and logistical planning.
This document provides five real-world SQL use cases for analyzing and segmenting e-commerce customers.
- Covers registration trends, RFM-based segmentation, geographic distribution, and customer lifetime value analysis.
- Builds SQL skills for filtering, aggregation, subqueries, and time-based metrics.
- Ideal for marketers and analysts aiming to drive growth through data-driven customer insights.
- Helps identify high-value customers, optimize campaigns, and support strategic planning using real customer behavior data.
This file contains transaction-level purchase history of users.
- Tracks order IDs, user associations, order dates, and payment details.
- Essential for building RFM segments, calculating lifetime value, and analyzing user behavior trends.
This dataset holds customer profile data for an e-commerce platform.
- Includes registration dates, user IDs, and demographic details.
- Supports SQL queries for user growth tracking, segmentation, and CLV analysis.
- Enables personalized marketing, engagement tracking, and performance evaluation.
$2.00 $1.50 25% OFF
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