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Description
A modeling platform has been created to assist marketing teams, analysts, and agencies in evaluating the genuine incremental effects of their marketing expenditures across various channels. In contrast to conventional attribution tools that depend on cookies and focus solely on digital interactions, MixModeler allows organizations to assess the impact of offline advertising methods such as TV, radio, and outdoor promotions, in conjunction with their digital marketing efforts.
This platform merges advanced statistical techniques, such as Bayesian inference and regression analysis, with a user-friendly interface, enabling individuals without a background in data science to engage in sophisticated marketing measurement. Users have the option to either construct custom models manually or take advantage of AI-driven automation, allowing them to rapidly identify which marketing initiatives are yielding tangible business outcomes.
Furthermore, MixModeler provides a range of pricing options, starting from free plans tailored for smaller teams to comprehensive solutions for larger enterprises, thereby making high-quality marketing mix modeling accessible to organizations of all sizes and enhancing their strategic decision-making capabilities.
Description
Robyn is a cutting-edge, open-source Marketing Mix Modeling (MMM) tool created by Meta’s Marketing Science team for experimental purposes. It aims to assist advertisers and analysts in constructing thorough, data-driven models that assess how various marketing channels affect business results, such as sales and conversions, while ensuring privacy through aggregated data. Instead of depending on tracking individual users, Robyn delves into historical time-series data by integrating marketing expenditure or reach information—encompassing ads, promotions, and organic initiatives—with performance indicators to evaluate incremental impacts, saturation effects, and carry-over dynamics. The package utilizes a combination of classical statistical techniques and contemporary machine learning methods; it employs ridge regression to mitigate multicollinearity in complex models, performs time-series decomposition to differentiate between trends and seasonal patterns, and incorporates a multi-objective evolutionary algorithm for optimization. This innovative approach allows businesses to gain deeper insights into their marketing effectiveness and make more informed decisions based on robust analysis.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Facebook
Facebook Ads
Instagram Ads
Meta Ads
Meta Pixel
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MixModeler
Founded
2025
Country
United Kingdom
Website
mixmodeler.com
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
facebookexperimental.github.io/Robyn/
Product Features
Marketing Analytics
A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics