cltv-prediciton
There are 0 repository under cltv-prediciton topic.
TarikKaanKoc / Online-Retail-CRM-Analytics
The data set named Online Retail II includes online sales transactions of a UK-based retail company between 01/12/2009 - 09/12/2011.
Language:Python 7tohid-yousefi / RFM_Analysis_and_CLTV_Prediction_FLO
In this section, I will perform RFM analysis and CLTV prediction on the dataset belonging to the FLO store.
Language:Jupyter Notebook 2Ashutosh27ind / RFM_CLTV_Customer_Analysis
Goal i s here to create RFM customer segments and find CLTV for existing customers
Language:Jupyter Notebook 1cevahirozgur / CLTV-Prediction
BG-NBD ve Gamma-Gamma ile CLTV Tahmini (Customer Lifetime Value Prediction)
Language:Python 1mftnakrsu / CLTV_customer-lifetime-value-analysis
CLTV_customer-lifetime-value-analysis
Language:Python 1nilhanatalay / CRM-Analytics
This is a case study in my Data Analyst Path by Miuul.
Language:Python 1Tek-nr / CRM-Analytics
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.
Language:Jupyter Notebook 1In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.
Language:Jupyter Notebook 1mehmetcanozcelik / CLTV_Prediction
Customer Lifetime Value calculation and prediction analyis by an existing customer dataset with Python.
Language:Python 0nickymind / Ciencia-de-Datos-ITBA
Trabajo Final correspondiente a la Especialización en Ciencia de Datos ITBA 2019
Language:Jupyter Notebook 0RajKulk16 / CLTV-Compass
The main objective of this project is to forecast the Customer Lifetime Value (CLTV) using user and policy data.
Language:Python 0REAtes / CLTV-Prediction-using-BG-NBD-and-Gamma-Gamma-Models
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.
Language:Python 0This 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.
Language:Python 0This 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.
Language:Python 0yigidatalp / CRM-Analytics-with-RFM-CLTV-and-Un-supervised-Learning
CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.
Language:Python 0- Language:Python 0
CLTV prediction, BGNBD, Gamma Gamma
Language:PythonYukiChen-yuxin / Customer-lifetime-value-analysis-based-on-online-retail-data
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.
Language:Jupyter Notebook
