{"id":15195449,"url":"https://github.com/joaolcorreia/rfm-analysis","last_synced_at":"2025-04-07T15:09:12.865Z","repository":{"id":147775153,"uuid":"60236877","full_name":"joaolcorreia/RFM-analysis","owner":"joaolcorreia","description":"Python script (and IPython notebook) to perform RFM analysis from customer purchase history data","archived":false,"fork":false,"pushed_at":"2019-10-01T21:17:14.000Z","size":547,"stargazers_count":270,"open_issues_count":1,"forks_count":175,"subscribers_count":16,"default_branch":"master","last_synced_at":"2025-04-07T15:09:07.769Z","etag":null,"topics":["customer-analytics","customer-segmentation","ipython-notebook","python-script","rfm-analysis"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joaolcorreia.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-06-02T06:03:10.000Z","updated_at":"2025-03-07T01:53:32.000Z","dependencies_parsed_at":"2023-05-27T11:31:00.014Z","dependency_job_id":null,"html_url":"https://github.com/joaolcorreia/RFM-analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaolcorreia%2FRFM-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaolcorreia%2FRFM-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaolcorreia%2FRFM-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joaolcorreia%2FRFM-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joaolcorreia","download_url":"https://codeload.github.com/joaolcorreia/RFM-analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247675597,"owners_count":20977376,"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","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":["customer-analytics","customer-segmentation","ipython-notebook","python-script","rfm-analysis"],"created_at":"2024-09-27T23:23:43.818Z","updated_at":"2025-04-07T15:09:12.827Z","avatar_url":"https://github.com/joaolcorreia.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RFM-analysis\n\nRFM analysis is a simple python script (and IPython notebook) to perform RFM analysis from customer purchase history data. \n[Please read the blog post on RFM analysis](https://joaocorreia.io/blog/rfm-analysis-increase-sales-by-segmenting-your-customers.html), it includes instructions on how to make RFM analysis actionable and a ready to use Tableau dashboard.\n\n## Usage:\n\n```bash\n$ python RFM-analysis.py -i sample-orders.csv -o rfm-segments.csv -d \"2014-04-01\"\n```\n\n- orders file (-i sample-orders.csv)\n- output file with the RFM segmentation (-o rfm-segmenta.csv)\n- maximum date of your orders table (-d “YYYY-mm-dd”).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoaolcorreia%2Frfm-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoaolcorreia%2Frfm-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoaolcorreia%2Frfm-analysis/lists"}