Media Mix Modeling

Optimize Every Marketing Dollar with Statistical Precision.

In a world of incomplete attribution, media mix modeling is the gold standard for understanding the true business impact of your marketing investments. We build MMM models that reveal which channels are genuinely driving revenue — and exactly how to reallocate budget for maximum return.

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MMM Services

The Science of Marketing Budget Allocation

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Bayesian Media Mix Modeling
State-of-the-art Bayesian MMM using Google Meridian, Meta Robyn, or custom implementations — modelling the revenue contribution of every marketing channel statistically.
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Incrementality Testing
Geo-holdout and matched-market experiments that measure the true incremental lift of specific channels — validating MMM findings with causal evidence.
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Budget Optimization
Simulation-based budget allocation modelling that shows the optimal spend distribution across channels to maximize revenue at any given budget level.
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Adstock & Saturation Modelling
Carryover effect and diminishing returns modelling for each channel — understanding how long each channel's effect lasts and where spend becomes inefficient.
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Channel Contribution Analysis
Decomposing total revenue into base and incremental components — attributing the right portion of revenue to each marketing channel without last-click bias.
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Executive Reporting
Board-ready MMM reports translating complex statistical outputs into clear business decisions and budget recommendations for executive stakeholders.
23%
Average budget reallocation identified by MMM
18%
Average revenue increase from MMM-optimized budgets
4 weeks
Average time to first MMM model delivery
$50M+
In marketing spend optimized via Scale D2C MMM

Frequently Asked Questions

Media Mix Modelling is one of the highest-leverage paid acquisition channels for DTC brands at scale. Scale D2C manages Media Mix Modelling campaigns that combine creative strategy, audience targeting, and bid optimisation to achieve profitable customer acquisition — not just impressions or clicks.

ROAS benchmarks for Media Mix Modelling vary by vertical, average order value, and funnel stage. Scale D2C DTC clients average 3.5–5× ROAS on Media Mix Modelling after 90 days of optimisation. We set clear, unit economics-based ROAS targets before any spend begins.

Initial Media Mix Modelling performance data is visible within 2 weeks. Reliable ROAS benchmarks emerge after 4–6 weeks of structured testing. Full-funnel impact, including email list growth and LTV improvement, becomes measurable at 90 days.

Scale D2C combines media buying with in-house creative strategy. We produce the ads, run the campaigns, and optimise based on full-funnel revenue data — not just platform metrics. This integrated approach consistently outperforms media-only agencies on Media Mix Modelling.

Scale D2C connects Media Mix Modelling with your Klaviyo, Shopify, and attribution platform so every campaign touchpoint maps to actual revenue. We build custom audiences from your CRM and use them for Media Mix Modelling retargeting, suppression, and prospecting lookalikes simultaneously.

AI

Stop Guessing Your Marketing Budget Allocation

Last-click attribution is lying to you. MMM reveals the truth — and the truth is almost always that significant budget reallocation opportunity exists. Let's find yours.

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