mylinnlife/short_term_internship

Cohort analysis and CLTV prediction to reduce customer churn and improve retention.

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mftnakrsu/CLTV_prediction

CLTV prediction, BGNBD, Gamma Gamma

Language: Python - Size: 23.4 KB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

cevahirozgur/CLTV-Prediction

BG-NBD ve Gamma-Gamma ile CLTV Tahmini (Customer Lifetime Value Prediction)

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Ashutosh27ind/RFM_CLTV_Customer_Analysis

Goal i s here to create RFM customer segments and find CLTV for existing customers

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RajKulk16/CLTV-Compass

The main objective of this project is to forecast the Customer Lifetime Value (CLTV) using user and policy data.

Language: Python - Size: 158 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mehmetcanozcelik/CLTV_Prediction

Customer Lifetime Value calculation and prediction analyis by an existing customer dataset with Python.

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

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yigidatalp/CRM-Analytics-with-RFM-CLTV-and-Un-supervised-Learning

CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.

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mftnakrsu/CLTV_customer-lifetime-value-analysis

CLTV_customer-lifetime-value-analysis

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Tek-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.

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nilhanatalay/CRM-Analytics

This is a case study in my Data Analyst Path by Miuul.

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YukiChen-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.

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nickymind/Ciencia-de-Datos-ITBA

Trabajo Final correspondiente a la Especialización en Ciencia de Datos ITBA 2019

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tohid-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.

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yusufkesici/CLTV-Prediction

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

tohid-yousefi/RFM_Analysis_and_CLTV_Prediction_Online_Retail_ii

In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.

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