基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型,结合专业运营人员的业务经营,发掘潜在用户,进行推荐营销召回。
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Updated
May 21, 2024 - Python
基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型,结合专业运营人员的业务经营,发掘潜在用户,进行推荐营销召回。
The data set named Online Retail II includes online sales transactions of a UK-based retail company between 01/12/2009 - 09/12/2011.
Within the scope of the project, I determined the marketing strategies by segmenting the customers of the online shoe store FLO.
FLO, which is an online shoe store, wants to divide its customers into segments and determine marketing strategies according to these segments. For this, the behavior of customers will be defined and groups will be formed according to the clutches in these behaviors.
Kodi music addon : Get web metadata information of webradio, like fip radio.
An exploration of segment techniques with RFM analysis and K-means clustering.
This repo about customer segmentation using Python
CLTV_customer-lifetime-value-analysis
This project involves performing customer segmentation and RFM (Recency, Frequency, Monetary) analysis on customer data from a retail company. The primary goal is to categorize customers into segments based on their buying behavior and identify potential target groups for marketing campaigns.
segmentation tenant by category of event Semarang Great Sale 2022
FLO, as an online shoe store, aims to segment its customers and define marketing strategies based on these segments. To achieve this, they will analyze customer behavior and create groups according to the segmentation within these behaviors.
This project aims to perform customer segmentation and revenue prediction for a gaming company based on customer attributes. The company wants to create persona-based customer definitions and segment customers based on these personas to estimate how much potential customers can generate in revenue.
Generated customer groups by giving each customer a quantitative score based on the Recency, Frequency & Monetary Value of their historical purchases using the K-Means Clustering algorithm.
CRM-RFM-Analysis
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