{"data":{"full_name":"grschneier/marketing-analytics-case-study","name":"marketing-analytics-case-study","description":"A comprehensive analysis of 2,205 customers using clustering, RFM analysis, and predictive modeling to optimize marketing campaigns and increase profitability.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"rfm-customer-segmentation","last_pushed_at":"2026-03-13T17:06:51+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":0.0,"maturity_score":1.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-15T04:31:10.339478+00:00"}}