When you sign with Paramark, you get the Paramark product including marketing mix models and incrementality experimentation program, and a dedicated Growth Advisor who connects all of our insights and experience into a coherent strategy for your business. Each piece has a distinct purpose, whether driving portfolio level insights, driving greater confidence and validating model findings, and/or helping guide you on how it all fits together.

This article explains what each capability is, what you can expect from it, and how they compound over time.

Marketing Mix Modeling

What is an MMM?

A Marketing Mix Model (MMM) is a statistical model built on your historical marketing spend, your target business metric — revenue, leads, orders, subscriptions — and a range of external factors like seasonality, pricing changes, and promotional events. It estimates the contribution of every channel to the metric you care about.

Where your ad platforms show you attribution (last click, view-through, last touch), your MMM shows you channel efficiency across your full mix: paid search, paid social, TV, OOH, email, organic, and everything else. It tells you which channels are actually driving growth, which are over-credited by platform reporting, and where your budget has headroom to grow or should be reallocated.

How does this work with Paramark?

Your first MMM is a draft. It is designed to generate questions, spark internal alignment, and point you toward the hypotheses most worth testing — not to hand you a finished answer. Over time, as the model refreshes monthly and experiments feed results back into it, it becomes more accurate and more decision-ready.

There is no perfect MMM. There is only an improving one.

Your MMM refreshes every month. Each refresh incorporates your latest spend data, any new channels you have added, and calibration from completed experiments. Your Growth Advisor walks you through the results and recommendations monthly and is available in Slack for questions between sessions.

For more on how to read and act on your MMM results, see marketing mix modeling articles.

Incrementality Testing & Experimentation

What is incrementality testing & experimentation?

An incrementality experiment answers the question your CFO eventually asks: "Is this marketing actually driving results we wouldn't have gotten anyway?" No platform can answer it. Your MMM can suggest an answer. Only a well-designed experiment can prove one.

Where platforms measure the credit they can assign to a touchpoint, experiments measure causality. They work by creating a controlled experiment via pausing a channel in specific geographies, varying spend across test and control markets, or randomizing an audience holdout, and measuring what actually changes as a result.

The key outcome of each experiment is understanding the true causality of a channel that allows us to improve your marketing mix model, and drive business decisions on channel spend mix and/or creative to drive your business decisions.

How does this work with Paramark?

Paramark designs all of your incrementality experiments. That includes the methodology, the geography or audience selection, the budget requirements, and a statistical power analysis to confirm the test will return a conclusive result before any spend is committed.

A few things worth knowing upfront.

• Roughly 30% of experiments show positive incremental lift. That is not a failure rate — it is the expected distribution for rigorous testing. A test that shows a channel is not incremental is just as valuable as one that confirms it is. You have just avoided continuing to spend money on something that was not working.

• Experiment metrics are agreed upon before launch and limited to two per test. They are not changed retroactively. The rigor of the result depends on the rigor of the setup.

• Every experiment includes a cooldown period after the test window closes — typically one to two weeks — before analysis begins. This accounts for delayed conversions that continue to arrive after ad exposure ends.

For the full strategic framework — hypothesis types, methodology comparisons, how to read results, and what to do when a test comes back negative or inconclusive — see How to Approach Experimentation: A Strategic Guide or our other experimentation resources experimentation articles

Growth Advisory

What is Growth Advisory?

Your Growth Advisor is the human expertise layer of the Paramark product. They translate your MMM and experiment results into decisions. They hold the rigor of your experiments. They act as a strategic partner alongside your marketing leadership.

They are not a marketing agency, a data engineering team, or an ad operations vendor. They are a dedicated measurement partner who knows your business and can help you use data to make better marketing decisions.

How does this work with Paramark?

The engagement has a clear rhythm.

Standard Slack questions receive a response within one business day during weekday hours. Experiment designs are delivered within two weeks of a complete brief. MMM analysis delivers on a monthly cadence.

For the full breakdown of commitments, SLAs, and how to get the most out of the relationship, see Your Paramark Relationship and Growth Advisor.

How the pieces work together

MMM, experimentation, and Growth Advisory are most powerful in combination. On their own, each does something useful. Together, they compound.

• Your MMM tells you where to look. It ranks your channels by efficiency and flags where you are over- or under-invested. That output becomes your experiment roadmap.

• Your experiments tell you what is actually true. The MMM is a statistical model built on historical patterns. It can sometimes conflate genuine incrementality with correlated noise. Experiments provide causal ground truth that confirms or challenges the model's conclusions.

• Experiment results sharpen the model. When results are fed back into the MMM as calibration inputs, the model becomes more accurate. Better experiments produce a smarter model, which produces better prioritization decisions next cycle.

• Your Growth Advisor connects the threads. They hold the roadmap, guide prioritization, translate results into decisions, and ensure the model and the experiments are asking the right questions for your specific business.

The customers who get the most out of Paramark are running 6 to 12 well-designed experiments per year, refreshing their model monthly, and building a measurement capability that becomes more accurate and more valuable over time. That is not where you start. It is where the compounding leads you.

What the first year looks like

The timeline above assumes data is flowing smoothly and your team has a clear owner. The biggest reason onboarding slips is data readiness. Your Growth Advisor will walk you through the specifics during kickoff.

Questions?

Your Growth Advisor is your first call at every stage. Your shared Slack channel is the right place for questions, blockers, or a quick read on something that has come up. We would rather hear a small concern early than catch a big one late.

Want to learn more about how Paramark works? Check out other general concepts articles.