kinosal / predictor
Source code for my blog post about "How to predict the success of your marketing campaign"
☆42Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for predictor
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆206Updated 4 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆275Updated 2 weeks ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆37Updated 3 months ago
- Achieve your marketing goals with the data analytics power of Python☆210Updated 5 years ago
- Udacity Data Science Nanodegree Capstone☆34Updated 4 years ago
- Spark + Python for Maketing Analytics☆10Updated 7 years ago
- A curated list of awesome customer analytics content☆95Updated 6 years ago
- Creating Search Engine Marketing Campaigns for Datacamp With Python☆11Updated 6 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆22Updated 5 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- WARNING: This repository is no longer maintained This repository will not be updated. The repository will be kept available in read-onl…☆28Updated 3 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆55Updated 6 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…☆135Updated last year
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆43Updated 4 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆77Updated 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 …☆130Updated 6 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆55Updated 2 years ago
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 2 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…☆49Updated 3 years ago
- Analysis for Customer Segmentation☆66Updated 4 years ago
- Hands-On Data Science for Marketing, published by Packt☆235Updated last year
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was create…☆243Updated 9 months ago
- Predicting Customer Lifetime Value☆12Updated 4 years ago
- Python Social Media Analytics, published by Packt☆106Updated last year
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆73Updated last month
- Exploratory Data Analysis (EDA) is performed on the E-Commerce data obtained from a UK-based and registered non-store online retail to di…☆23Updated 5 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- ☆47Updated last year