Why Marketbridge for MMM or MTA: Principles of our open-source approach

Andy Hasselwander
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We’re pleased to share that Forrester recognized Marketbridge in its report, “The Marketing Measurement and Optimization Services Landscape, Q3 2025.” The three extended business scenarios that we selected as top focus areas for the report are attribution modeling, data quality diagnostics, and owned/earned media measurement.

Our inclusion in the overview report is exciting because it validates our efforts to deliver excellence for our clients through custom, white box MMM and MTA solutions, which we’ve been doing for years. In fact, we wrote the original Measuring Marketing’s Effectiveness whitepaper way back in 2021 based on our learnings from client projects.

From all the model iterations and readouts we’ve conducted, we’ve learned a great deal and refined our approach over time. We’ve also had countless conversations with customers dissatisfied with others’ solutions that failed to account for difficult-to-measure channels, didn’t include long-run brand effects, or took three months to get to results—and built our solution to solve these problems.

Our unique approach

Marketbridge takes a consultative approach to building MMMs, MTAs, and “UMMs”—which integrate the functionality of both. We start with our extensive econometric, inference, and optimization libraries, and then build a bespoke solution for each client. But across projects, our core marketing effectiveness principles remain the same: the open-source measurement consultancy, complex measurement specialists, and actionable brand measurement.

The Open-Source Measurement Consultancy

  • Built in your infrastructure:
    We build inside your domain, keeping data first-party and your measurement code in your version control. This also means that data engineering pipelines are native. API calls come from your environment direct to platform, publisher, and Martech sources.

  • Radically whitebox:
    Both custom elements and Marketbridge libraries are viewable and modifiable at the source code level in Github, ensuring auditability and reproducibility.

  • Near real-time data connectivity:
    Direct APIs wherever possible allow rapid updating of source data and re-estimation of model coefficients on a daily basis.

Complex measurement specialists

  • Bespoke complex builds:
    Over and above simple business use cases, we model the most complex go-to-market activities across considered purchases, financial services and subscription businesses.

  • B2C to B2B flexibility:
    Our methods handle small-n, long transaction cycle businesses as well as high-n consumer brands.

  • Right-size performance marketing:
    We use systems of equations to avoid over-attributing value to branded paid search and affiliate “capture” channels, and then redistribute value to driving channels.

Actionable brand measurement

  • Quantify your brand’s long-run impact:
    We model advertising’s impact on brand strength, and brand strength’s corresponding impact on sales—insuring accurate ROAS up- and down-funnel. The common question “should I be optimizing on ROAS because it doesn’t take brand into account” is now obsolete.

  • Considers both paid and earned media:
    With our strong heritage in PR, we weigh investments in syndication, influencer marketing, and media relations. This will be increasingly important in the era of LLM discoverability.

  • Measures the right brand attributes:
    Identify the upper-funnel KPI that does matter to drive true long-run growth.

Learn more

We’d love to meet with you to share some case studies, learn about your organization’s current stage on its measurement journey, and discuss potential pitfalls for MMM and MTA. Contact us to get in touch.


Footnote: Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here .

 

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