Customer Acquisition and Behaviour Analysis

Group Category: Use Case

Product Category: Database Design & Development

Sub Category: PostgreSQL

Overview

In this module, you’ll learn how to use SQL to understand customer behavior and make smart business decisions. You’ll work with data from FoodExpress, a food delivery app, to:

Look at what customers are doing on the app
See how and when new customers are joining
Spot any problems in the customer data

You’ll use basic SQL skills to help with marketing plans, find top customers, and notice if some customers might stop using the app.

By working with real-life-style data, you’ll get hands-on practice with finding, filtering, and analyzing customer info to help businesses make better choices.

Key Highlights

Check how active your customers are
See when people sign up and if signups increase during special events or seasons
Find customers who stopped using the app or never started, so you can reach out to them again
Fix wrong or missing customer contact info to improve delivery and communication
Track how many new customers joined in the last 30, 60, and 90 days

Learning Outcomes

By the end of this module, you’ll be able to:
Use SQL to understand what customers are doing based on their activity data
Use functions and filters in SQL to spot patterns and trends
Group customers into types like active, inactive, or new
Find and fix issues in the data using SQL
Learn how to use data to make better decisions about keeping and growing your customer base

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Customer

| CSV

Description:
This file contains detailed customer records used for behavioral and demographic analysis within the food delivery domain.

Contains unique customer IDs, names, contact information, and registration timestamps
Supports segmentation by activity status, registration period, and demographic attributes
Forms the foundational data for customer acquisition, engagement, and retention analysis
Enables campaign targeting, churn identification, and lifecycle monitoring
Essential for deriving KPIs such as activation rate, growth trends, and user base health

Customer Acquisition and Behaviour Analysis

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About this Dataset:

Topics: SQL, Customer Analytics, Business Intelligence

Languages: English

Skills: SQL, Customer Segmentation, Data Cleaning, Behavioral Analysis, KPI Analysis

Business Domain: Customer Relationship Management (CRM)

Level: Intermediate

Political Donation Dashboard

Topics: Power BI, Data Visualization, Dashboard Design, Business Intelligence, DAX

Languages: English

Level: Intermediate

$10.00 FREE 100% OFF

Customer Acquisition and Behaviour Analysis

Customer

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