mursideyarkin / customer_lifetime_value_predictionLinks
The main purpose of this repository is to model and forecast customer lifetime value.
☆11Updated 4 years ago
Alternatives and similar repositories for customer_lifetime_value_prediction
Users that are interested in customer_lifetime_value_prediction are comparing it to the libraries listed below
Sorting:
- The aim of this project is to create customer personas according to features and define segments according to a determined rule.☆12Updated 4 years ago
- This is one of the first and main programs i made for 99☆21Updated 3 years ago
- Source code for my blog post about "How to predict the success of your marketing campaign"☆43Updated last year
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆256Updated 5 years ago
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 3 years ago
- This repository contains my academic marketing and customer data analytics related projects using R and SQL.☆10Updated 6 years ago
- Analyse customer segmentation, sentiment on product review, and built a product recommender system☆34Updated 5 years ago
- ☆14Updated 5 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆44Updated last year
- Customer Segmentation Analysis with RFM, using Python and Power BI.☆29Updated 4 years ago
- EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was create…☆259Updated 2 years ago
- 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 shari…☆159Updated 3 years ago
- Customer Segmentation Anaylsis☆13Updated 6 years ago
- First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing produc…☆54Updated 2 years ago
- Achieve your marketing goals with the data analytics power of Python☆229Updated 6 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆305Updated last year
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- ☆12Updated 2 years ago
- Complete machine learning analysis to solve marketing problems.☆18Updated 7 years ago
- Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we a…☆67Updated 4 years ago
- ☆23Updated 4 years ago
- Python for SEO tutorials we feature in Twitter every week☆60Updated 3 years ago
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆19Updated 4 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆351Updated this week
- RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers bas…☆25Updated 8 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆63Updated 7 years ago
- A simple Marketing Mix Modeling library for Python☆30Updated 3 years ago
- 🖼️ Discover your digital page portrait through fancy report.☆14Updated 9 months ago
- A python tool for generating Single Keyword Ad Groups (SKAGs) templates for Google Ads☆19Updated 3 years ago
- Hands-On Data Science for Marketing, published by Packt☆257Updated 9 months ago