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Marketing Mix Modeling

Know what's
actually
driving your revenue

Soltrex uses a proprietary Bayesian MMM framework to measure the true ROI of every media channel and tell you exactly how to reallocate your budget to maximise return.

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ROI by channel
Sample Brand Co. · Jan 2023 – Dec 2024
Google Search
Top performer0.51
TikTok
Top performer0.48
Programmatic
Solid0.41
Google Display
Solid0.35
Meta
Over-invested0.18
Median ROI · 90% credible intervals shown in full report
Projected uplift on same budget +$42K
The method

What is Marketing Mix
Modeling?

Marketing Mix Modeling (MMM) is a statistical technique that uses your historical media spend and sales data to calculate how much each channel — Meta, Google, TikTok, TV, OOH, and more — actually contributed to your revenue.

Unlike attribution models, MMM doesn't rely on cookies, pixels, or user tracking. It works on aggregated weekly data, making it privacy-safe and future-proof as third-party tracking continues to erode.

The output is a set of channel-level ROI estimates with confidence intervals, a revenue decomposition showing how much of your sales come from media vs. baseline, and a budget optimizer that tells you how to reallocate spend to maximize return.

🔒
Privacy-safe by design
Uses only aggregated spend and revenue data. No cookies, pixels, or user-level tracking required.
📊
Accounts for what media can't explain
Controls for distribution changes, promotions, seasonality, and other non-media factors that affect sales.
⏱
Measures long-term brand effects
Adstock modeling captures the carryover effect of brand-building media — the revenue that shows up weeks after exposure.
📈
Built on Bayesian inference
Returns a probability distribution for every ROI estimate — not a single number, but a credible range that reflects real uncertainty.
The process

How Soltrex works

01
You configure your model
Select your channels, define your KPI, and add external controls. The app generates a custom data template.
02
You fill in your data
Pull weekly spend and impressions from your ad platforms and paste them into the template. Takes 1–2 hours.
03
We run the model
Your cleaned data is passed through our Bayesian modeling engine. MCMC sampling produces posterior ROI distributions for each channel.
04
You get a full report
ROI by channel, revenue decomposition, response curves, and a budget optimizer — plus a Word report ready to present.
Why Soltrex

Built differently

B
Bayesian causal inference
Built on the same statistical foundations used by the world's leading measurement teams. Transparent methodology, fully auditable results.
AI
AI-assisted interpretation
Every model run produces a plain-language summary report that explains the findings in terms your CFO can act on.
⟳
Re-runnable as data grows
Every config is saved. Add new weeks of data and rerun the model in minutes — confidence improves over time.
$
Fraction of agency cost
Traditional MMM engagements cost $30–100K. Soltrex delivers the same rigor at a price accessible to mid-market brands.
↓
No lock-in
You own your data, your config, and your results. Download everything at any time. No proprietary black box.
⊞
All channels supported
Digital, CTV, Broadcast TV, OOH, Radio, Print — any channel with weekly spend data can be included in the model.
Sample output

What you'll receive

Marketing Mix Model Results Sample Brand Co.  ·  Jan 2023 – Dec 2024  ·  $2.1M spend
Sample data
R-squared
0.71
Strong model fit
MAPE
4.8%
Prediction error
Media contribution
18%
of total revenue
Total spend
$2.1M
104-week window
Over-invested
Meta
44% of budget at 0.18 ROI — the single largest drag on portfolio efficiency.
Solid performer
Programmatic
0.41 ROI at 8% of budget. Well-positioned and room to scale.
Top performer
Google Search
Highest ROI at 0.51 and only 21% of budget. Increase recommended.
ROI by channel
Google Search
0.51
TikTok
0.48
Programmatic
0.41
Google Display
0.35
Meta
0.18
Budget optimizer
Meta
$924K → $672K▼ $252K
Google Search
$441K → $578K▲ $137K
Google Display
$378K → $441K▲ $63K
TikTok
$189K → $235K▲ $46K
Programmatic
$168K → $174K▲ $6K
Projected uplift on same budget +$42,300
Interactive dashboard with spend sliders, response curves, and AI-generated summary included in every engagement  ·  All numbers are illustrative
Pricing

Simple, transparent engagements

$2,500 / model run
One-off model for a single client. Good for proving the concept before committing.
  • Up to 5 media channels
  • National-level model
  • ROI by channel + budget optimizer
  • PDF + Word summary report
  • One revision run
$6,000 / quarter
Quarterly model updates as new data comes in. ROI estimates improve with each run.
  • Up to 8 media channels
  • Geo-level modeling available
  • Quarterly rerun + delta report
  • Scenario planning (3 budget scenarios)
  • Slide deck for client presentation
  • Async Q&A support
Custom
Multiple clients, ongoing retainer, or white-label delivery under your agency brand.
  • Unlimited channels
  • Monthly cadence
  • White-label reports
  • Multi-brand / portfolio modeling
  • Dedicated support
  • Custom integrations
Insights

From the blog

Measurement
Is MMM right for you?
MMM is powerful but it is not right for every brand or every question. Here is how to know if you are ready.
March 2026  ·  6 min read
Measurement
When to run MMM vs a geo holdout test
Both methods measure media effectiveness but answer different questions. Here is how to know which one you need.
March 2026  ·  5 min read
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