Stop Guessing.
Invest Where It Wins.
RisingPlans' AI-powered Media Mixed Modeling reveals the true impact of every channel in your marketing mix — so every dollar you spend is backed by data, not hunches.
Get My Free Proposal →The Science Behind Smarter Marketing Budgets
Media Mixed Modeling (MMM) is an advanced statistical technique that analyses how each of your marketing channels — from paid search to TV to email — contributes to revenue. Unlike last-click attribution, MMM accounts for offline channels, seasonality, external factors, and long-term brand effects.
With AI layered on top, RisingPlans can run continuous simulations, predict future revenue by channel, and automatically surface budget reallocation opportunities before your competitors act on them.
- Paid Search
- Social Ads
- TV & Radio
- SEO
- Programmatic
- Print & OOH
- Events
Full-Service MMM — From Data to Decision
Every engagement includes a dedicated team and the full stack of tools required to turn raw marketing data into confident, profit-driving decisions.
Dedicated Account Team
You get an account manager, data scientists, AI engineers, and channel specialists — a full team focused on your MMM programme, not shared across dozens of clients.
Data Integration & Cleansing
We connect and validate every data source — ad platforms, CRM, offline sales, third-party signals — so your model inputs are clean, reliable, and ready.
AI Modelling & Analytics
Our team trains machine learning algorithms on your combined dataset, building a predictive model that quantifies the return from every channel, including offline.
Real-Time Optimisations
AI continuously monitors performance and surfaces actionable recommendations. No waiting for quarterly reviews — your team can act on insights immediately.
Forecasting & Budget Optimisation
See exactly where to shift spend to hit your revenue targets. Our omnichannel forecasting engine runs "what-if" scenarios so you can plan quarterly and annual budgets with confidence.
Measurement Unification
Online and offline in one clean dataset. Eliminate data silos and reporting conflicts — every channel measured by the same source of truth across your whole organisation.
How We Build Your MMM Programme
A structured, transparent process from kickoff to continuous optimisation.
Discovery & Data Audit
We map every marketing channel you run, identify available data sources, and diagnose gaps. You get a clear picture of your data health before we build anything.
Data Integration & Validation
Our engineers connect ad platforms, your CRM, offline transaction data, and third-party sources. Every input is cleaned and validated — garbage in never reaches the model.
Model Build & Calibration
We train your custom AI model, incorporating seasonality, competitive signals, and external economic factors. The model is calibrated against historical results before it goes live.
Insight Delivery & Action Planning
Results are presented in plain language your whole team can act on — from the C-suite to channel managers. No jargon. No black boxes. Just clear budget recommendations with projected ROI.
Continuous Optimisation
MMM is not a one-time project. We run ongoing updates as new data arrives, retrain the model with fresh performance signals, and keep your budget allocation ahead of market shifts.
Built for Businesses That Need Real Results
We combine proprietary AI technology with human marketing expertise — so your MMM programme is grounded in strategy, not just statistics.
AI + Human Strategy
Our models are built by data scientists but guided by marketers who understand how channels actually work in the real world.
No Black Boxes
Every recommendation comes with a plain-language explanation. Your team understands why a shift in budget is being recommended.
Offline + Online Unified
TV, radio, trade shows, print — we model every channel so you never under-value a channel just because it's harder to track digitally.
Proprietary Revenue Platform
MMM insights connect directly into the RisingPlans Revenue Platform, tying model outputs to campaign execution and live ROI tracking.
97% Client Retention
Our clients stay because the results are real. We've generated over $2.4B in revenue for growing businesses across industries.
Transparent Reporting
No hiding behind vanity metrics. You see the model outputs, the budget recommendations, and the projected revenue impact — every month.
"RisingPlans' media mixed modeling completely changed how we allocate our $3M annual marketing budget. We moved spend to the channels the model flagged, and saw a 41% increase in revenue in the following quarter."— Director of Growth, B2B SaaS Company · RisingPlans Client
Media Mixed Modeling FAQs
How is MMM different from multi-touch attribution?
Multi-touch attribution only measures digital click paths. MMM uses statistical regression to model the contribution of every channel — including TV, print, and offline sales — over time. It also accounts for external factors like seasonality and economic conditions that attribution tools ignore entirely.
How much data do I need to get started?
Typically, 18–24 months of historical data across your marketing channels produces the most reliable models. If you have less data, we can still build a foundation and improve the model over time as more data accumulates.
How long does it take to see results?
Initial model build and first insights typically take 6–10 weeks, depending on data complexity. After that, updated recommendations are delivered on a monthly basis as new performance data is ingested into the model.
Is MMM only for large enterprise budgets?
No. While MMM was historically an enterprise tool, RisingPlans has engineered solutions suitable for businesses spending $500K–$50M+ annually across marketing channels. The ROI case is often strongest for mid-market companies who've outgrown simple attribution.