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
- 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…☆141Updated 2 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆223Updated 4 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- ☆127Updated 3 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 8 months 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…☆81Updated 2 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 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
- Streamlit Application for ABC Analysis & Product Segmentation☆16Updated 2 months ago
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆65Updated last year
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 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
- customer lifetime value BG/NBD model☆17Updated 3 years ago
- Live Training: Market Basket Analysis in Python☆45Updated 4 years ago
- Hands-On Data Science for Marketing, published by Packt☆242Updated 2 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆77Updated 4 years ago
- Portfolio in Python☆44Updated last year
- Credit Risk Model on Machine learning and prediction☆29Updated 4 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
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- This repository contains the code and explanation for market mix modelling technique in economics☆53Updated 6 years ago
- Data Science Portfolio☆14Updated 4 years ago
- Exploratory Data Analysis (EDA) is performed on the E-Commerce data obtained from a UK-based and registered non-store online retail to di…☆26Updated 6 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 6 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆47Updated 4 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