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Do You Need Marketing Mix Modeling? A Measurement Ladder for Growing Businesses

By Rahul Bhole · · 3 min read

The short version

  • Marketing mix modeling estimates what each channel contributes, but it needs steady spend, several channels, and a long history.
  • Most small businesses get more value from clean lead tracking and simple tests first.
  • A two- to four-week pause test can answer “is this channel working?” for almost no cost.

Marketing mix modeling, or MMM, is having a moment. Google released its MMM software, Meridian, as free open source in early 2025, and in February 2026 added a no-code Scenario Planner for exploring budget options. It’s natural to wonder whether your business should be doing this.

For most businesses spending a few thousand dollars a month on ads, the honest answer is: not yet. But the question behind it, “which of my marketing is actually working?”, is the right one. There are cheaper ways to start answering it.

What MMM does, in plain terms

MMM looks at your sales over time next to your spending in each channel, plus things like seasonality and promotions. It then estimates how much each channel contributed and what might happen if you moved money around. It doesn’t need cookies or click tracking, which is a big part of its appeal now that tracking keeps getting harder.

The catch is that it needs a lot of history to work. You generally want a couple of years of weekly data, spend that varies enough to learn from, and several channels to compare. You also need someone who can check whether the model’s answers make sense. Free software doesn’t remove that work.

The measurement ladder

Think of measurement as a ladder. Each rung makes the next one more useful, and skipping rungs usually means building on bad data.

A measurement ladder for growing businesses

  1. 5

    Marketing mix modeling

    For businesses with several channels, steady spend, and a couple of years of clean weekly data.

  2. 4

    Simple experiments

    Pause tests and holdouts that show what happens when you turn something off.

  3. 3

    Outcome-based tracking

    Qualified leads and sales sent back to the ad platforms so they optimize toward real customers.

  4. 2

    One honest record of leads and sales

    Every lead and sale with its source, in a CRM or spreadsheet. This is the foundation everything else needs.

  5. 1

    Platform reports

    What Google and Meta say happened. Useful for day-to-day changes, but each platform grades its own homework.

Most businesses spending under roughly $10,000 a month get the biggest return from rungs 2 through 4.

The cheapest experiment you can run

You can learn a surprising amount by turning something off on purpose. Say you’re not sure your branded search ads (ads on searches for your own business name) bring in customers you wouldn’t get anyway:

  1. Pick a quiet, typical stretch. Avoid holidays and big promotions.
  2. Write down your baseline: leads and sales per week for the last four weeks.
  3. Pause only that one campaign for two to four weeks. Change nothing else.
  4. Compare total leads and sales, not just the paused channel’s numbers.
  5. If the total barely moves, that spend was mostly buying customers you already had.

When MMM starts to make sense

MMM earns its keep when you run several channels at once (search, social, direct mail, radio, sponsorships), spend steadily enough to model, and have the history to back it up. If that describes you, Meridian and its Scenario Planner are worth a serious look, ideally with someone who can sanity-check the results.

If it doesn’t describe you yet, that’s fine. A clean record of where customers come from, plus a couple of well-run experiments a year, will answer most of the questions that matter.

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