{"id":30276008,"url":"https://github.com/rebeccamorolong/-marketing-campaign-analysis-sql-portfolio-project-","last_synced_at":"2025-08-16T10:56:10.498Z","repository":{"id":308163427,"uuid":"1031850161","full_name":"RebeccaMorolong/-Marketing-Campaign-Analysis-SQL-Portfolio-Project-","owner":"RebeccaMorolong","description":"This project analyzes marketing campaign performance using SQL.","archived":false,"fork":false,"pushed_at":"2025-08-04T15:26:05.000Z","size":5,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-04T16:50:20.681Z","etag":null,"topics":["marketing-analytics","postgresql","sql"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RebeccaMorolong.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-04T12:29:12.000Z","updated_at":"2025-08-04T15:26:09.000Z","dependencies_parsed_at":"2025-08-04T17:04:43.985Z","dependency_job_id":null,"html_url":"https://github.com/RebeccaMorolong/-Marketing-Campaign-Analysis-SQL-Portfolio-Project-","commit_stats":null,"previous_names":["rebeccamorolong/-marketing-campaign-analysis-sql-portfolio-project-"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/RebeccaMorolong/-Marketing-Campaign-Analysis-SQL-Portfolio-Project-","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RebeccaMorolong%2F-Marketing-Campaign-Analysis-SQL-Portfolio-Project-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RebeccaMorolong%2F-Marketing-Campaign-Analysis-SQL-Portfolio-Project-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RebeccaMorolong%2F-Marketing-Campaign-Analysis-SQL-Portfolio-Project-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RebeccaMorolong%2F-Marketing-Campaign-Analysis-SQL-Portfolio-Project-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RebeccaMorolong","download_url":"https://codeload.github.com/RebeccaMorolong/-Marketing-Campaign-Analysis-SQL-Portfolio-Project-/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RebeccaMorolong%2F-Marketing-Campaign-Analysis-SQL-Portfolio-Project-/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270702504,"owners_count":24630874,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-16T02:00:11.002Z","response_time":91,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["marketing-analytics","postgresql","sql"],"created_at":"2025-08-16T10:56:05.347Z","updated_at":"2025-08-16T10:56:10.475Z","avatar_url":"https://github.com/RebeccaMorolong.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 Marketing Campaign Analysis (SQL Portfolio Project)\n\nThis 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.\n\n## 📌 Objective\n- Analyze campaign ROI, engagement, and response rates\n- Segment customers by education, marital status, and region\n- Recommend which channels work best for which segments\n\n## Goal: Understand campaign performance and customer response patterns.\n  \n## SQL Skills: \nCTEs, joins, case statements, aggregation, window functions\n\n##  Project Idea:\n\nCompare different campaign channels (email, SMS, social media)\n\nAnalyze open rates, click-throughs, conversions\n\nSegment users based on behavior or demographics\n\n## Sample Questions to Answer:\n\nWhat was the ROI for each marketing channel?\n\nWhich customer segment responded best to which campaign?\n\n## 🧱 Schema\n- `customers`: customer demographics\n- `campaigns`: marketing campaign metadata\n- `campaign_interactions`: customer-campaign touchpoints\n\n## 💡 Key Insights\n- Email campaigns had the highest ROI but lowest response rate\n- Married customers with higher education responded most frequently\n- Loyalty campaigns performed better than seasonal ones\n\n## 📊 Sample Queries\n- Overall campaign response rate\n- Top channels by revenue per interaction\n- Customer segmentation by education and marital status\n\n## 📁 Dataset\n[Kaggle - Marketing Campaign Data](https://www.kaggle.com/datasets/rodsaldanha/arketing-campaign)\n\n---\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frebeccamorolong%2F-marketing-campaign-analysis-sql-portfolio-project-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frebeccamorolong%2F-marketing-campaign-analysis-sql-portfolio-project-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frebeccamorolong%2F-marketing-campaign-analysis-sql-portfolio-project-/lists"}