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
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
$2.00 $1.50 25% OFF
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