Ecosyste.ms: Repos

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GitHub topics: marketing-mix-modeling

edwinnglabs/karpiu

Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please use it at your own risk.

Language: Python - Size: 26.4 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 17 - Forks: 4

sibylhe/mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

Language: Jupyter Notebook - Size: 2.46 MB - Last synced: 28 days ago - Pushed: about 2 years ago - Stars: 326 - Forks: 159

DoktorMike/dammmdatagen

Marketing Mix Modeling Data Generator

Language: R - Size: 10.9 MB - Last synced: 29 days ago - Pushed: over 2 years ago - Stars: 43 - Forks: 6

facebookexperimental/Robyn

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Language: Jupyter Notebook - Size: 203 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1,021 - Forks: 315

Nikhilkohli1/Digital-Marketing-Analytics

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

Language: Jupyter Notebook - Size: 85.9 MB - Last synced: 2 months ago - Pushed: about 4 years ago - Stars: 179 - Forks: 54

RyanAugust/PySiMMMulator

PySiMMMulator is an open source Python adaption of the R-package siMMMulator, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).

Language: Python - Size: 223 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 0

majd30/Marketing-Mix-Modeling-project-with-Multiple-Regression

In order to inform decisions about an optimal marketing budget, the project uses multiple regression analysis to assess the impact of TV, radio, and newspaper ad budgets on Company X's sales.

Size: 1.35 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

nitinjosephrepo/Marketing-Mix-Modeling-MMM-Using-Robyn

A New GeneratUsing Robyn aims to reduce human bias in the modeling process, esp. by automating modelers decisions like adstocking, saturation, trend & seasonality as well as model validation. Moreover, the budget allocator & calibration enable actionability and causality of the results

Language: R - Size: 267 KB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

SooyeonWon/customer_analytics_fmcg

Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity

Language: Jupyter Notebook - Size: 3.55 MB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 31 - Forks: 15

iamcici0424/Marketing-Mix-Models

This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising response measurement.

Size: 3.39 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 18 - Forks: 5

imnikhilanand/Bayesian-Marketing-Mix-Modeling

The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.

Language: Python - Size: 1.78 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 0

Better-Boy/Market-Mix-Modelling

This repository contains the code and explanation for market mix modelling technique in economics

Language: HTML - Size: 589 KB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 46 - Forks: 35