For decades, marketers have believed that marketing mix modeling (MMM) is a luxury reserved for the world’s largest B2C companies with the biggest marketing budgets.
Recent advances in technology are making MMM more accessible and affordable, but there are still plenty of mid-market B2C and B2B companies that are yet to embrace the opportunities that MMM can offer.
If your organization fits either of these profiles, then I encourage you to stop relying on incomplete digital attribution models and start using measurement that links marketing investment to the financial outcomes your business really values.
Why the MMM Myth Persists
For most of its history, MMM has been acknowledged as the gold standard of marketing measurement. However, it was typically accessible only to the biggest brands with the deepest pockets and the organizational will to wait several months for results.
Models were built for B2C brands with high transaction volumes, short purchase cycles, and plenty of historical data. If you were a mid-market brand with a tight budget, or a B2B business with a two-year sales cycle and low transaction volumes, MMM was deemed “not for us.”
But in the last few years, tech has removed many of the barriers to entry. Open-source code, cloud-based SaaS platforms, and Agentic AI have helped to democratize modeling and automate statistical heavy lifting.
The B2B sector makes for a particularly interesting case study in how this newfound flexibility has turned access to MMM on its head. For example, AI enables B2B brands to track and structure sales conversations and complex touchpoints, such as whitepapers, webinars, podcasts, and LinkedIn engagement – a process that previously required substantial manual effort. By converting these unstructured interactions into model-ready data, AI enhances our ability to map and model the B2B buying journey.
How to Use MMM to Overcome Three B2B Pain Points
Despite these advances, some B2B marketers are still hesitating to embrace MMM. Below, I’ve picked three of the most common pain points B2B brands face to explain how MMM can help you to overcome them:
Pain Point 1: Your Marketing Signal Is Buried in Downstream Noise
The natural instinct of B2B marketers is to measure closed revenue. However, closed revenue sits too far downstream and is heavily influenced by non-marketing factors like sales capacity, competitive pricing, and contract timing. Trying to link an early-stage marketing campaign directly to a closed deal 18 months later often results in a signal that is too noisy to measure.
The MMM Solution: MMM can model pipeline, specifically marketing-influenced/-sourced opportunities, at a weekly or monthly level. Pipeline is closer to marketing activity, has enough volume to generate a stable statistical signal, and is credibly linked to revenue through consistent close rates that finance already trusts.
Pain Point 2: You Struggle to Separate Marketing Impact from Sales Activity
Outbound sales activity is often a major driver of B2B pipeline, so if your measurement program doesn’t control for this then you risk misattributing pipeline growth to marketing activity that is running at the same time.
The MMM Solution: MMM can integrate outbound sales data (e.g. calls, demos, proposals) as key variables. Controlling for sales effort helps distinguish its effect from that of concurrent marketing activity, reducing misattribution and providing a more credible estimate of marketing’s incremental contribution.
Pain Point 3: You Have a Brand Data Vacuum
Brand perception metrics are required to measure the long-term effect of brand investment, yet most B2B brands do not systematically collect relevant data at the required frequency. As a result, it can be tempting to leave these metrics out of your measurement program, but that risks undervaluing brand investment and causes brands to prioritize short-term demand generation.
The MMM Solution: In the absence of formal tracking, MMM can integrate proxy data as partial signals of brand momentum. Branded search volume, LinkedIn follower growth, and inbound traffic trends can help to represent brand effects in the model as they are more informative than assuming brand has no measurable impact. Over time, they can help to build the case for investing in formal brand measurement.
From Defending the Past to Collaborating on the Future
Resolving these pain points not only helps to measure your marketing’s impact more accurately, it also builds trust with other key stakeholders. When finance trusts your measurement program, you can move from defending past performance to working together collaboratively to answer the strategic questions that drive B2B growth: what is the optimal balance between long-term brand building and short-term demand generation? Where will our next dollar drive the most incremental pipeline?
Download our new report “When MMM Moves at the Pace of AI: Speed is Easy. Growth is Everything.” to learn more.
