{ "info": { "author": "Juan Zarco", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: OS Independent", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "# CRM-RFM Modeling v1.0.3\n```\npip install crm-rfm-modeling\n```\nThis package should be used with the intent of a CRM analysis in order to score their CRM dataset with\nthe well known method of RFM. Methodology derived from the following paper: https://link.springer.com/article/10.1057/palgrave.jdm.3240019\n\n```python\nfrom crm_rfm_modeling import rfm\nfrom crm_rfm_modeling.rfm import RFM\n\nmodel = RFM()\n#or\nmodel = rfm.RFM()\n```\n\n\nRFM (Recency - Frequency - Monetary):\n - RFM Package used to model and score CRM data with the following scoring methods: Quintile Scoring, Mean Scoring, and Median Scoring.\n The package allows custom scoring on each variable related to Recency, Frequency, and Monetary. It is important to format the data \n when fitting the model depending on the dataset type listed below:\n \n Customer/User Level CRM Dataset:\n - The dataset should contain the Customer IDs to score against as an index. The Recency, Frequency, and Monetary columns should be\n labeled as so in order to score the variables and customers correctly.\n \n Transactional CRM Dataset:\n - The dataset should have a list of Cutomer IDs associated with each transaction as well as a date that can be interpreted by Pythons\n datetime package and a column associated the value of the transaction. The columns should be in order as so. There is no need to set\n the Customer IDs as the index as it will be set automatically during the scoring.", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/zark-stark12/crm-rfm-modeling", "keywords": "", "license": "GNU General Public License", "maintainer": "", "maintainer_email": "", "name": "crm-rfm-modeling", "package_url": "https://pypi.org/project/crm-rfm-modeling/", "platform": "", "project_url": "https://pypi.org/project/crm-rfm-modeling/", "project_urls": { "Homepage": "https://github.com/zark-stark12/crm-rfm-modeling" }, "release_url": "https://pypi.org/project/crm-rfm-modeling/1.0.4/", "requires_dist": null, "requires_python": ">=3.5", "summary": "RFM Modeling Package for modeling Consumer behavior.", "version": "1.0.4", "yanked": false, "yanked_reason": null }, "last_serial": 6538531, "releases": { "1.0.1": [ { "comment_text": "", "digests": { "md5": "f9136f7a3836a0dac3622bbb5618ca43", "sha256": "67cae01c1c1d83b387f225c9fef0149fa7dc6fefe63ec262a21a9f7651ef1ec6" }, "downloads": -1, "filename": "crm_rfm_modeling-1.0.1.tar.gz", "has_sig": false, "md5_digest": "f9136f7a3836a0dac3622bbb5618ca43", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4602, "upload_time": "2019-08-13T18:00:28", "upload_time_iso_8601": "2019-08-13T18:00:28.954557Z", "url": "https://files.pythonhosted.org/packages/e8/a2/55338b0c7c033bca102866a6b1ef1319f06cc9bc32b72f439939c7340090/crm_rfm_modeling-1.0.1.tar.gz", "yanked": false, "yanked_reason": null } ], "1.0.4": [ { "comment_text": "", "digests": { "md5": "7f76a44ae1ffa969cdc77ee4f8daa8b0", "sha256": "a4f737db0e4d2f7295bf76d04b5963dd425e24f3478599b0ade3f63da896804f" }, "downloads": -1, "filename": "crm-rfm-modeling-1.0.4.tar.gz", "has_sig": false, "md5_digest": "7f76a44ae1ffa969cdc77ee4f8daa8b0", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 5309, "upload_time": "2020-01-29T15:12:49", "upload_time_iso_8601": "2020-01-29T15:12:49.858560Z", "url": "https://files.pythonhosted.org/packages/35/1f/93f72668400dffd7c1000ee6a74d7116569f15f1f07dc4cf153fec1fa490/crm-rfm-modeling-1.0.4.tar.gz", "yanked": false, "yanked_reason": null } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "7f76a44ae1ffa969cdc77ee4f8daa8b0", "sha256": "a4f737db0e4d2f7295bf76d04b5963dd425e24f3478599b0ade3f63da896804f" }, "downloads": -1, "filename": "crm-rfm-modeling-1.0.4.tar.gz", "has_sig": false, "md5_digest": "7f76a44ae1ffa969cdc77ee4f8daa8b0", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 5309, "upload_time": "2020-01-29T15:12:49", "upload_time_iso_8601": "2020-01-29T15:12:49.858560Z", "url": "https://files.pythonhosted.org/packages/35/1f/93f72668400dffd7c1000ee6a74d7116569f15f1f07dc4cf153fec1fa490/crm-rfm-modeling-1.0.4.tar.gz", "yanked": false, "yanked_reason": null } ], "vulnerabilities": [] }