Optimise every dollar

Marketing Mix Modelling (MMM) helps you understand the true performance of your marketing channels by isolating their impact on sales, ROI, or a metric of your choosing.

Building MMMs

Any Marketing Mix Model software should allow you to validate the model with experiments, test predictions with unseen data, and export the data allowing you to easily improve and confirm any of your models assumptions.

We manage or assist your data scientists through each of the 16 steps in our MMM process.

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01
Planning

Each business requires different data, assumptions, experiments for validation, test data, and has different implications on what you can scale next.

02
Good data

Collect and prepare data to form a solid foundation combining internal and external data sources.

03
Channel Definitions

Group channels intelligently to ensure accurate insights.

04
Standardise, normalise and validate

Align all datasets for consistent comparisons and reliable modelling.

05
Update with live data

Automate data feeds for ongoing and actionable MMM insights that can be rapidly actioned.

06
Overfitting

Avoid excessive inputs to ensure accurate, predictive MMM performance.

07
Multicollinearity

Combine highly correlated channels to prevent distorted MMM results.

08
Credible model

Use validated data and transparent assumptions for reliable modelling outcomes.

09
Analyst bias

Transparent methods ensure trustworthy results for strategic decision-making.

10
Iterate to get buy-in

Build trust through iterative testing and learning over time. Your model is not perfect!

11
Model outputs and expectations

Analyse ROI, ad stock decay, and budget optimisation recommendations.

12
Diminishing return curve

Understand spend limits for optimal marketing ROI and strategy.

13
Ad stock decay

Measure long-term effects of advertising efforts on consumer behaviour.

14
Budget optimisation

Reallocate resources effectively for higher ROI and strategic improvements.

15
Updating the model

Keep MMM accurate by integrating fresh data regularly.

16
Incrementality tests

Validate and refine MMM with targeted experiments and ground-truth insights.

Brands growing faster with Bimodal

E-comm
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Financial
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HEALTH
HEALTH
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Marketing science:  delivering value

20%
uplift in Meta ROAS
15%
MMM ROAS estimates
500m
Under analysis
As marketing science matures, we refine the value chain and better understand how different components interact. In 2021, Deloitte combined MMM and the Conversion Lift Experiment (CLE), proposing a method that used CLE to calibrate MMM when significant differences between the models emerged. The results were impressive, including a more than 20% uplift in Facebook ROAS1. In 2023, the Harvard Business Review noted that “calibration via ad experiments pays off. In their case studies, calibration on average corrected MMM based return-on-ad-spend estimates by 15%

MMM is updated automatically

Frequently asked questions

How does your platform prove iROI and justify marketing spend?

Our platform integrates multi-channel data, uses advanced modeling to isolate true incremental impact, providing clear ROI insights to optimise spending and justify budget decisions.

How does incrementality testing work and what results can we expect?

We plan geo-lift experiments with synthetic controls to measure causal effects, delivering statistically significant uplift estimates and actionable insights for channel, offer, market, or budget optimisation.

How quickly can we see actionable insights from MMM and incrementality tests?

Our streamlined setup and real-time dashboards often yield preliminary insights within weeks, with comprehensive marketing effectiveness reports following each model refresh or incrementality tests completion.

What level of support and training do you offer?

We provide hands-on guidance from dedicated data scientists, extensive onboarding, training sessions, and continuous support to upskill teams and optimize model usage.

What proven success have you delivered?

We’ve driven 10–20% ROI improvements across finance, retail, and consumer goods, using advanced modeling and incrementality testing to optimise multi-channel marketing strategies.

Prove your impact.
Grow your budget.

Bimodal's involvement with Eucalyptus has helped to level up our approach to media buying. Bimodal graphs are now a key feature of our planning meetings to justify marketing decisions. Fast, reliable insights allowed us to agree and move forward quickly, making our marketing processes more agile.

Matt
Eucalyptus
Thank you to Bimodal for an MMM that has quite literally saved us hundreds of thousands (if not millions) of wasted media spend.
David
Hnry

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