GregMurray30 / MultiTouchAttribution
Models for Multi-Touch Attribution
☆21Updated 3 months ago
Alternatives and similar repositories for MultiTouchAttribution
Users that are interested in MultiTouchAttribution are comparing it to the libraries listed below
Sorting:
- Multi-Touch Attribution☆116Updated 3 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 3 years ago
- Multi-touch attribution models to determine the channels that lead to greater customer conversions.☆9Updated 3 months ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆104Updated last year
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆79Updated 7 months ago
- ☆88Updated last year
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 6 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- 🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)☆20Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆377Updated 2 years ago
- Python implementation of Shapley value for multi touch attribution modeling☆26Updated 3 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 5 years ago
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated 9 months ago
- Open source marketing mix modeling code for vexpower.com☆44Updated 3 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆348Updated 2 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆327Updated 7 months ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆54Updated 3 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆69Updated last year
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆14Updated 3 years ago
- A flexible python package for cost-aware uplift modelling.☆34Updated 8 months ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 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
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆47Updated 4 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- A proof-of-concept for implementing multi-touch attribution using Markov Chains☆12Updated 6 years ago
- 💊 Comparing causality methods in a fair and just way.☆138Updated 5 years ago