Topic: cltv-prediciton Goto Github
Some thing interesting about cltv-prediciton
Some thing interesting about cltv-prediciton
cltv-prediciton,Goal i s here to create RFM customer segments and find CLTV for existing customers
User: ashutosh27ind
cltv-prediciton,BG-NBD ve Gamma-Gamma ile CLTV Tahmini (Customer Lifetime Value Prediction)
User: cevahirozgur
cltv-prediciton,Customer Lifetime Value calculation and prediction analyis by an existing customer dataset with Python.
User: mehmetcanozcelik
cltv-prediciton,CLTV_customer-lifetime-value-analysis
User: mftnakrsu
cltv-prediciton,CLTV prediction, BGNBD, Gamma Gamma
User: mftnakrsu
cltv-prediciton,Trabajo Final correspondiente a la Especialización en Ciencia de Datos ITBA 2019
User: nickymind
cltv-prediciton,This is a case study in my Data Analyst Path by Miuul.
User: nilhanatalay
cltv-prediciton,The main objective of this project is to forecast the Customer Lifetime Value (CLTV) using user and policy data.
User: rajkulk16
cltv-prediciton,A retail company wants to create a roadmap for its sales and marketing activities. To plan for the medium to long term, the company needs to predict the potential value that existing customers will bring in the future.
User: reates
cltv-prediciton,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.
User: reates
cltv-prediciton,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.
User: reates
cltv-prediciton,The data set named Online Retail II includes online sales transactions of a UK-based retail company between 01/12/2009 - 09/12/2011.
User: tarikkaankoc
cltv-prediciton, CRM analytics is the process of analyzing customer data to gain insights for improving customer relationships and driving business growth. We use it to make data-driven decisions, optimize customer engagement, personalize marketing, identify opportunities, and enhance customer satisfaction.
User: tek-nr
cltv-prediciton,In this section, I will perform RFM analysis and CLTV prediction on the dataset belonging to the FLO store.
User: tohid-yousefi
cltv-prediciton,In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.
User: tohid-yousefi
cltv-prediciton,CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.
User: yigidatalp
Home Page: https://yigidatalp.github.io
cltv-prediciton,Using real online retail data from a store, customer value was predicted and segmented using two probability models: BG/NBD and Gamma-Gamma. An example was used to illustrate the implementation process of the customer lifetime value analysis model and segmentation model.
User: yukichen-yuxin
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