k-bosko / CLV_predictionLinks
Predicting Customer Lifetime Value
☆12Updated 5 years ago
Alternatives and similar repositories for CLV_prediction
Users that are interested in CLV_prediction are comparing it to the libraries listed below
Sorting:
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆74Updated 5 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆61Updated 7 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆41Updated 9 months ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- ☆26Updated 3 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆39Updated 7 years ago
- Hands-On Data Science for Marketing, published by Packt☆10Updated 6 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆290Updated 7 months ago
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 2 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆23Updated 3 years ago
- Achieve your marketing goals with the data analytics power of Python☆217Updated 6 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆60Updated 2 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- Marketing Data Science☆59Updated 9 years ago
- Spark + Python for Maketing Analytics☆10Updated 8 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆48Updated 4 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 4 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 5 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆50Updated 4 years ago
- Live Training: Market Basket Analysis in Python☆46Updated 4 years ago
- ☆27Updated 2 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- Source code for my blog post about "How to predict the success of your marketing campaign"☆43Updated 10 months ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆134Updated 7 years ago
- ☆20Updated 6 years ago
- Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm☆10Updated 5 years ago