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New Introducing Experiments, in GrowthOS. Learn more

Geo Experiments

Turn every big bet into proof

Hit your growth target by testing the big budget moves first. Build evidence Marketing and Finance both trust and act on.

GrowthOS is trusted by marketing and finance teams at

  • Optus
  • Samsung
  • Hershey's
  • ING
  • Seek
  • Lion
  • Youi
  • BOQ
  • Asahi
  • KIA
  • Turo
  • New Zealand Tourism

Why Incrementality Experiments

Your geo experiments and MMM, working as one

Incrementality experiments show what a marketing move actually caused, by changing spend in some regions and holding it in others. But one test is one answer, in one channel, at one point in time. Your MMM sees the whole business.

In GrowthOS they work as one: every test is designed from your model, read independently, and fed back in automatically. One source of truth for Marketing and Finance to make a decision on confidently, instead of two numbers reconciled by hand.

Why Mutinex

One shared evidence engine behind every big decision

Stop calibrating your MMM by hand

Test results feed straight into your MMM, so your next plan already reflects what your last test found. Precise results move the model more than noisy ones.

Act on decisions with your CFO

Every experiment result is read with a standard method that does not rely on your MMM. If the result and your model agree, Finance gets one number backed by two pieces of independent evidence.

Run experiments built from your own model

Your MMM shows which moves are worth testing and which markets to test them in. When results come back, you can see whether they match what the model predicted.

How it works

Every test tightens your model automatically

  • Tests enter the joint estimation directly, at the region, product and customer segment they ran on.
  • When a result lands, you see why the model moved, and by how much.
  • Uncertainty travels with every number: Finance sees the range, not a point estimate.

Your MMM · Meta incremental ROI

Test result
Test 1 Test 2

The range narrows with every test

Shared numbers

One set of numbers for Finance and Marketing to agree on

Incremental orders, revenue, CAC and iROAS all come from one granular data foundation, backed by converging evidence, instead of fragmented figures from different tools.

Meta · incremental impact

Incremental orders
+12.4k
Range 10.9k – 13.8k
Incremental revenue
+$1.9M
Range $1.6M – $2.2M
CAC
$42
Range $37 – $48
iROAS
2.3x
Range 2.0x – 2.6x
  • Marketing
  • Finance

Illustrative figures

Hyper-granular regional models

Thousands of models, learning and improving

A national model gives you one average. GrowthOS models your business region by region, at a hyper-granular level, so you can see where spend is working and back the markets that respond. Thousands of models, each learning from the others and sharpening with every experiment you run.

FAQ

Who can use Experiments?

Experiments is available for Advanced and Enterprise customers in the US and Australia with regional modeling. In the US, that means 40 or more modeled geographies with revenue. This is an early version, and customer feedback will shape what comes next.

Does Mutinex buy or run the media?

No. You keep control of your media. Your team or agency runs the test in your ad platforms, using the region and spend plan, agency brief and geo targeting lists GrowthOS generates.

How long does an experiment run?

Between 4 and 12 weeks, depending on the design. Pilot runs for 4 weeks, Standard and Sensitive for 4 to 8 weeks, and Extended for 10 to 12 weeks.

What does my team need to do to run a test?

Confirm the platform supports clean exclusion by region and your contracts allow it, set up one campaign and one budget per group, and keep flights, pricing and strategy the same in both groups. One live week confirms that 2% or less of spend leaks into test regions and 5% or less into control regions.

What if the result is inconclusive?

Even an inconclusive result shows the direction of the effect. That helps you decide whether to act, run longer or test a bigger change.

How does a result change my MMM?

The result feeds into your MMM automatically, with no manual calibration. The experiment and your model share one estimate of the channel’s effect, and a precise test moves that estimate more than a noisy one.

Hit your growth targets by acting on the big bets

See how Experiments in GrowthOS helps marketing and finance build shared evidence before the budget moves.