customer-lifetime-value | Topic | Ecosyste.ms: Repos

Topic: "customer-lifetime-value"

pymc-labs/pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Language: Python - Size: 1.08 GB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 825 - Forks: 266

ColtAllen/btyd Fork of CamDavidsonPilon/lifetimes 📦

Buy Till You Die and Customer Lifetime Value statistical models in Python.

Language: Python - Size: 7.06 MB - Last synced at: about 5 hours ago - Pushed at: 12 months ago - Stars: 116 - Forks: 9

mukulsinghal001/customer-lifetime-prediction-using-python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 84 - Forks: 37

bachmannpatrick/CLVTools

R-Package for estimating CLV

Language: R - Size: 17.1 MB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 56 - Forks: 14

jalajthanaki/Customer_lifetime_value_analysis

Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 45 - Forks: 24

imsanjoykb/Sales-and-Marketing-Analytics

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 6

Willofd101/ziln_cltv

A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)

Language: Python - Size: 94.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 0

skacem/Marketing-Analytics-Foundations

The python version of the lab exercises from the coursera class Foundation of marketing analytics.

Language: Jupyter Notebook - Size: 509 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 6

akulumbeg/awesome-clv-models

🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 4

gknox79/customer-analytics

This repo hosts the course content of Customer Analytics, taught at Tilburg University by George Knox last taught Fall 2022.

Language: HTML - Size: 48.8 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 16

sibylhe/clv

CLV prediction with BG/NBD model, xgboost, lightgbm

Language: Jupyter Notebook - Size: 735 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 4

rtimbro185/syr_mads_mar653_marketing_analytics

Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics

Language: HTML - Size: 50.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

a-memme/Customer_Churn_and_CLTV

BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 1

Sarah-2510/Customer-Lifetime-Value-Prediction

Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.

Size: 3.06 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

Rindhujatreesa/customer-lifetime-value-prediction-for-auto-insurance-companies

Predicted clv making it easier for the auto-insurance companies to decide on the premiums of their incoming clients and thus balance the total risk in the market

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

99sbr/Predictive-Customer-Analytics

Understanding the customer life cycle Acquiring customer data Applying big data concepts to your customer relationships Finding high propensity prospects Upselling by identifying related products and interests Generating customer loyalty by discovering response patterns Predicting customer lifetime value (CLV) Identifying dissatisfied customers Uncovering attrition patterns Applying predictive analytics in multiple use cases Designing data processing pipelines Implementing continuous improvement

Language: Jupyter Notebook - Size: 128 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

kk289/Predicting-Customer-Lifetime-Value_CLV

Predicting Customer Lifetime Value

Language: Python - Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

dfadeeff/CLTV

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

sankalp130/Customer-Lifetime-Value-Prediction

By understanding and predicting CLV, PT Asuransi Mobil Sejahtera can make better decisions about how much they should invest in customer acquisition and retention, as well as how they can improve customer satisfaction to increase CLV.

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

zander1268/custorama

This project creates a user-friendly customer lifetime value (CLV) prediction engine able to take in transaction data and return important CLV predictions with a high degree of accuracy for a merchant's entire customer base and individual customers over a selected period of time in the future.

Language: Jupyter Notebook - Size: 81.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

nissim-panchpor/Multivariate-Analysis-of-Paid-Search-Advertising-data-for-hotels

Size: 3.1 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

PhanChenh/CohortAnalysis_Adventurework_SQLProject

Customer Retention and Lifetime Value Analysis Using Cohort Analysis on AdventureWorks Dataset (2011-2014)

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

zaw-may/Customer-Behavior-Analysis

Customer Behavior Analysis

Language: Jupyter Notebook - Size: 111 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

asenacak/customer-survivalAnalysis-cltv-segmentation

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

FelipeTufaile/Customer-Lifetime-Value

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

PEDROPERDO/Oat

Oat : Hi !

Language: Jupyter Notebook - Size: 153 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AmirMotefaker/Customer-Lifetime-Value-Analysis

Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps businesses make data-driven decisions on how to allocate their resources and improve their customer relationships.

Language: Jupyter Notebook - Size: 784 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0