palitr / Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling
To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multipl…
☆22Updated 5 years ago
Alternatives and similar repositories for Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling:
Users that are interested in Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling are comparing it to the libraries listed below
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 8 months ago
- ☆127Updated 3 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…☆144Updated 2 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆224Updated 5 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆82Updated 2 years ago
- ☆13Updated 2 years ago
- Hands-On Data Science for Marketing, published by Packt☆243Updated 2 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
- Achieve your marketing goals with the data analytics power of Python☆215Updated 5 years ago
- Learn real-world techniques on customer segmentation and behavioral analytics, using a real dataset containing customer transactions from…☆27Updated 6 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- credit-risk-modeling☆26Updated 3 years ago
- Portfolio in Python☆44Updated last year
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆288Updated 6 months ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆88Updated 5 years ago
- Jupyter notebook templates for running and evaluating website ABn tests.☆25Updated 6 years ago
- Customer Segmentation Analysis with RFM, using Python and Power BI.☆25Updated 3 years ago
- This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups …☆30Updated 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
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Streamlit Application for ABC Analysis & Product Segmentation☆16Updated 2 months ago
- Statistical Analysis: Project with A/B testing and Machine Learning methodologies☆13Updated 6 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆140Updated 4 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago