https://github.com/rebeccamorolong/-marketing-campaign-analysis-sql-portfolio-project-
This project analyzes marketing campaign performance using SQL.
https://github.com/rebeccamorolong/-marketing-campaign-analysis-sql-portfolio-project-
marketing-analytics postgresql sql
Last synced: 2 months ago
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This project analyzes marketing campaign performance using SQL.
- Host: GitHub
- URL: https://github.com/rebeccamorolong/-marketing-campaign-analysis-sql-portfolio-project-
- Owner: RebeccaMorolong
- Created: 2025-08-04T12:29:12.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-04T15:26:05.000Z (2 months ago)
- Last Synced: 2025-08-04T16:50:20.681Z (2 months ago)
- Topics: marketing-analytics, postgresql, sql
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 🧠 Marketing Campaign Analysis (SQL Portfolio Project)
This project analyzes marketing campaign performance using SQL. The goal is to understand how customers respond to different campaign channels and customer segments, using a structured database schema and optimized queries.
## 📌 Objective
- Analyze campaign ROI, engagement, and response rates
- Segment customers by education, marital status, and region
- Recommend which channels work best for which segments
## Goal: Understand campaign performance and customer response patterns.
## SQL Skills:
CTEs, joins, case statements, aggregation, window functions
## Project Idea:
Compare different campaign channels (email, SMS, social media)
Analyze open rates, click-throughs, conversions
Segment users based on behavior or demographics
## Sample Questions to Answer:
What was the ROI for each marketing channel?
Which customer segment responded best to which campaign?
## 🧱 Schema
- `customers`: customer demographics
- `campaigns`: marketing campaign metadata
- `campaign_interactions`: customer-campaign touchpoints
## 💡 Key Insights
- Email campaigns had the highest ROI but lowest response rate
- Married customers with higher education responded most frequently
- Loyalty campaigns performed better than seasonal ones
## 📊 Sample Queries
- Overall campaign response rate
- Top channels by revenue per interaction
- Customer segmentation by education and marital status
## 📁 Dataset
[Kaggle - Marketing Campaign Data](https://www.kaggle.com/datasets/rodsaldanha/arketing-campaign)
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