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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
Stella is a platform designed for marketing measurement, providing marketers with robust, scientifically validated insights into which advertisements, campaigns, and media channels effectively contribute to increased revenue. The platform is equipped with three primary tools: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). Through Incrementality Testing, Stella conducts geo-holdout studies, also known as inverse holdouts, to evaluate performance differences between test and control areas, effectively isolating the causal effects of advertisements as opposed to relying solely on attribution methods. This tool simplifies complex statistical processes, including causal inference and confidence intervals, allowing users to understand the potential outcomes without a specific campaign, thus uncovering the genuine “lift” attributed to each advertisement. Furthermore, its Media Mix Modeling feature employs a unique Bayesian approach to dissect historical marketing expenditures and various external influences, such as seasonality and promotional events, to assess the contribution of each channel to overall sales effectively. By leveraging these advanced methodologies, Stella empowers marketers to make informed decisions based on accurate data analysis.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon
Google Cloud Platform
Meta AI
Shopify
Snowflake
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$2,000 per month
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
Stella
Country
United States
Website
www.stellaheystella.com
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