AI-powered marketing mix modeling and media investment optimization for growth-focused marketers
Multinex (also known as Mutinex) is a marketing mix modeling platform built for brands and agencies that want continuous, AI-driven insight into how media spend is driving growth. Rather than running MMM as an annual or quarterly exercise, the platform is designed for ongoing optimization—giving teams a working model they can use for budget decisions in real time. Its GrowthOS product suite combines MMM with scenario planning, data integration, and an AI consultant called MAITE.
Key Features
AI-Powered MMM (MAITE)
- MAITE is the platform’s conversational AI consultant, built on top of the MMM model
- Interprets model outputs and provides strategic media recommendations
- WARC partnership integration into MAITE and GrowthOS (launched November 2025)
- Designed to make MMM results accessible to non-technical stakeholders
Predictive Analytics and Scenario Planning
- Forward-looking budget scenario modeling
- Channel-level contribution analysis and forecasting
- Cross-channel media optimization based on historical performance
- Campaign-varying MMM that updates as new data arrives
Data Integration (DataOS)
- Connects to multiple data sources including media platforms, CRM, and sales data
- Standardizes inputs for cleaner, more reliable model outputs
- Supports both first-party and third-party data integration
Market Mixer
- Accounts for external market factors (seasonality, economic signals, competitive spend)
- Improves model accuracy by separating media effects from market conditions
- Useful for brands operating in competitive or seasonally-driven categories
Business Impact
- Continuous optimization: MMM runs on an ongoing basis rather than as a periodic project
- Accessible insights: MAITE translates model outputs into plain-language recommendations
- Cross-channel visibility: Unified view of media contribution across all channels
- Faster decisions: Scenario planning tools support quicker budget reallocation
Pricing
Multinex does not publish pricing publicly. The platform is enterprise-only, and pricing is available through a sales consultation. Given the scope of the platform (continuous MMM, AI consultant, data integration), enterprise subscription pricing is expected. Contact Multinex directly for a quote.
Perfect For
- Marketers: Optimizing cross-channel media investments with data-backed models
- Media Strategists: Using predictive insights to inform channel mix decisions
- Cross-Channel Planners: Coordinating budget allocation across many media types
Frequently Asked Questions
Is Multinex free? No. Multinex is an enterprise platform with no free tier. Contact the sales team for pricing information.
How much does Multinex cost? Pricing is not publicly available. As an enterprise MMM platform, costs are likely significant and customized based on company size, data volume, and feature requirements.
What is the difference between Multinex and Mutinex? Multinex and Mutinex refer to the same company. “Mutinex” is the primary brand name used in Australia (where the company is headquartered), while “Multinex” is the name used in some international contexts and on the mediaplanningtool.com directory. The products and services are the same.
What is GrowthOS? GrowthOS is Mutinex’s product suite that brings together its MMM capabilities, the MAITE AI consultant, scenario planning tools, and data integration. It is positioned as an operating system for marketing investment decisions rather than a one-time analysis tool.
How does Multinex compare to Northbeam? Northbeam focuses on multi-touch attribution and media mix modeling for direct-to-consumer and e-commerce brands, with pricing starting at $1,500/month. Multinex targets larger enterprise brands with more complex channel mixes and offers a conversational AI layer (MAITE) on top of its MMM. The two tools serve different market segments and use different primary methodologies.
Does Multinex replace traditional MMM consulting? Multinex is designed to complement or replace traditional MMM consulting by making models continuous and self-service. However, the platform still requires setup, data integration, and interpretation—it is not fully plug-and-play. The MAITE AI consultant is designed to reduce reliance on analysts for routine interpretation.
Is there a WARC integration? Yes. In November 2025, Mutinex announced a partnership with WARC that integrates WARC’s marketing effectiveness data directly into MAITE and GrowthOS, giving the AI model richer industry context for its recommendations.
User Reviews & Social Proof
Multinex has very limited public review data. G2 shows a rating of 2.5/5 based on a single review, which is not statistically meaningful. No representative user quotes were available from public review platforms at the time of writing.
The platform is relatively early-stage in terms of public profile, but has attracted notable senior hires from Nielsen and Kantar (including Jon and Jess Betts and Andie Potter in 2025), signaling growth in its industry credibility.
Multinex vs Alternatives
Multinex vs Northbeam
Northbeam is a multi-touch attribution and MMM platform for DTC and e-commerce brands. It starts at $1,500/month with transparent self-serve pricing. Multinex targets larger enterprise advertisers with more complex cross-channel needs and offers a conversational AI consultant. Northbeam is more accessible for mid-market brands; Multinex is positioned for enterprise scale.
Multinex vs Measured
Measured is an incrementality-focused measurement platform that uses holdout testing to quantify media contribution. Multinex uses econometric MMM as its core methodology. Both answer “which media is working?” but through different approaches. Brands often compare both during vendor evaluations.
Multinex vs Recast
Recast is a Bayesian MMM platform with transparent methodology and self-serve options. It skews toward technically sophisticated teams. Multinex adds an AI consultant layer (MAITE) and enterprise data integration, making it more accessible for non-technical stakeholders but at likely higher cost.
Multinex vs Optimine
Optimine is a marketing mix modeling platform with a focus on speed and scenario planning. Both tools serve brands looking for continuous MMM rather than periodic projects. The platforms differ in methodology specifics and the depth of their AI layers.
Recent Updates (2025–2026)
- November 2025: WARC partnership announced, integrating WARC marketing effectiveness data into MAITE and GrowthOS—adding industry benchmarking context to AI recommendations.
- 2025: Senior leadership hires from Nielsen and Kantar (Jon and Jess Betts, Andie Potter), strengthening the platform’s media measurement expertise.
- 2025: Launch of open-source MMM testing suite, signaling engagement with the broader measurement community.
- 2025: Campaign-varying MMM update released, enabling models to update dynamically as new campaign data arrives.
Explore More Media Planning Tools
- Northbeam — Multi-touch attribution and MMM for DTC and e-commerce brands
- Measured — Incrementality measurement using holdout testing methodology
- Recast — Bayesian marketing mix modeling with transparent methodology
- Optimine — Marketing mix modeling with scenario planning
- Keen — Revenue optimization platform with MMM-based scenario planning
- GWI — Global consumer research platform for audience and market insights
- Halliard — Media planning tool built for modern agency workflows