Incrementality Experiments

Measure incrementality.
Invest with confidence.

Haus experiments help you understand the true impact of your media. Turn causal science into clear, actionable answers that Marketing, Analytics, and Finance can all stand behind.

Why Incrementality Experiments

Understand what’s really driving impact

Incrementality experiments identify the marketing activities causing business outcomes by comparing impacts from groups exposed to your marketing against groups who were not.

Use incrementality experiments to reveal the true causal impact of every dollar, cut wasted spend, and invest with confidence in the channels that actually drive incremental growth.

Why Haus

Your measurement partner for insights and action

Understand performance drivers and gaps

Haus measures incremental impact across DTC, Amazon/marketplaces, and offline/retail, and can support use cases from digital to upper‑funnel channels.

Run experiments you can trust in minutes

Our platform uses cutting edge methodology powered by Causal Intelligence, allowing you to get statistically sound experiments — fast.

Translate results into ROI with expert guidance

Growth marketing experts and PhD scientists help you interpret results, pressure-test conclusions, and recommend what to do next — every step of the way.

Measure the impact of any marketing campaign with experiments

Types of experiments

DMPA map of the United States colored dark blue for Treatment areas and light blue for Holdout areas.
01
How Geo Tests work

Haus uses random stratified sampling to assign test and control groups across a country or region, ensuring statistically robust results that are representative of the  market.

Map of the contiguous United States highlighting several counties: dark blue for treatment areas in parts of California and light blue for holdout areas in counties of Maryland, Texas, Florida, and Washington state.
02
How Fixed Geo Tests work

Haus uses advanced modeling techniques to create a robust Haus Holdout for comparison, giving you clear readouts on what’s truly driving lift.

Calendar for January with dates 3-23 highlighted in blue, overlaid on a blue map of the United States showing DMA boundaries.
03
How Time Tests work

Haus evaluates the performance of that period of time against a high-precision daily forecast of what would have happened otherwise — so you can see the true lift from your marquee launches and events.

Use cases

What insights can you get from incrementality experiments?

Know where your paid media dollars are best spent by testing:

Channel effectiveness

Is this channel driving incremental value or just taking credit?

Halo effects

Do ecomm ads boost retail and/or Amazon sales?

Efficiency testing

What is the right level of spend for each channel? What is your point of diminishing returns?

Upper funnel channels

How effective are no-click channels like out-of-home activations, billboards, YouTube, and CTV?

Long-term impact

What impact does your marketing have after your campaign ends?

Media mix testing

What’s the right overall mix of upper and lower funnel channels?

Secondary metrics

How does different marketing impact predicted-LTV or new customers, not just conversions?

Promotions and seasonality

How does the effectiveness of your marketing change at different times of year?

From question to experiment in minutes

Configure robust regional experiments on-demand with the statistical tools and controls to balance spend and precision.

See it in action

Interactive Case Study

How Mejuri Discovered What Was Really Driving Sales

See it in action

“Haus has opened our eyes to the true incrementality of our marketing channels.”

Maddie Gaasenbeek
Maddie Gaasenbeek
Marketing, Mejuri

How confident are you in what’s actually driving your growth?

Make better ad investment decisions with Haus.