Haus incrementality alternatives for Amazon brands
By Harry Burman · Updated October 25, 2026
Haus incrementality is geo testing with holdouts, and the plans don't list a price. A Haus alternative fits when you want Meta ads and Amazon orders from one holdout, which is the incrementality software vs Haus choice. Spillmark runs geo holdout tests for Meta ads and measures Amazon orders by ship-to state.
Get startedFrom $19/mo. Cancel anytime. Read-only, and nothing changes without your approval.
Quick comparison
| Product | Best for | Starting price | Key difference |
|---|---|---|---|
| Spillmark | Amazon brands testing what Meta ads cause | Dashboard $19/mo. Tests from $49/mo. | One geo holdout. Amazon orders by ship-to state. |
| Haus | Brands that want a vendor to run geo tests | Not published. Each plan links to a demo. | Experiments, causal MMM, attribution, an agent. |
| Recast | Teams building a media mix model | Not published on the pages cited here. | Bayesian MMM, GeoLift, forecasts, Operators. |
| Measured | Enterprise brands across stores and Amazon | Not published on the pages cited here. | Geo-matched tests, MMM, an analytics expert. |
| Triple Whale | Ecommerce teams that want attribution | Free plan. Paid plans priced by annual GMV. | Pixel attribution. Compass adds MMM and GeoLift. |
| Northbeam | Brands that want first-party attribution | Not published. Starter is for under $1.5M a year in ads. | Attribution, MMM+, incrementality on higher plans. |
| GeoLift | Teams that will run the test in R | Free. Open source. | You design the test. It isn't a hosted product. |
Haus describes itself as an AI-powered incrementality platform. Its core product is experiments: GeoLift tests that randomly assign test and control regions across a country, Fixed Geo Tests where you pick the regions, and Time Tests for one-off moments such as a TV flight. Haus says it builds synthetic controls rather than plain matched markets, and its platform runs power analyses so you can trade precision against speed. It also sells a causal media mix model and causal attribution. As of October 2026, its Basics plan is self-serve and aimed at DTC brands selling through Shopify and Amazon, with US geo tests on Meta, Google and TikTok. Higher plans add a measurement strategist, international tests and MMM. If you'd rather run tests yourself, the open-source GeoLift package or a hand-built matched-market test can measure the same thing, with more of your own time.
If you only need the holdout
Spillmark runs geo holdout tests for Meta ads and measures Amazon orders by ship-to state. It plans the test from your own Amazon order history, picks a group of US states whose past sales track the rest, runs a placebo check, tells you how long the test needs and shows the expected cost before you pause anything.
$19 a month gets the dashboard. Holdout tests start on Starter at $49 a month. Cancel anytime. Read-only, and nothing changes without your approval. Use the Get started button under the introduction.
Against Haus, you give up synthetic controls across channels, a causal media mix model, attribution and a measurement team. You keep one holdout on Meta ads and Amazon orders, at the price above. Haus's own description of the wider suite is in the sections after this one.
The method is on how lift is calculated. Size a test with the holdout test calculator before you pause ads.
What Haus says it does
Haus's homepage, as of October 2026, calls it the AI-powered incrementality platform that leading enterprises use, and lists four products:
- Incrementality experiments. Tests that compare groups exposed to your marketing with groups that weren't, configured with Haus's expert team.
- Causal MMM. A media mix model updated every week, which the pricing page says is built on your experiments.
- Causal Attribution. Attribution down to the ad, which Haus describes as evidence-backed.
- Architect. An AI agent that uses Haus's causal data to spot risks and opportunities and run what-if analyses.
The science page says every Haus product rests on econometrics and causal inference rather than black-box deep learning, and that its models and outputs are meant to be transparent and interpretable. Haus also stresses people: growth marketers and PhD scientists who help you read results and decide what to do next.
How Haus runs a geo test
A geo test changes ads in some regions and not others, then compares sales. Haus describes three kinds:
| Test type | How Haus says it works | What it's for |
|---|---|---|
| GeoLift | Random stratified sampling assigns test and control regions across a country | Any channel where spend can vary by region: Meta, Google, YouTube, TikTok, CTV |
| Fixed Geo Test | You pick the test regions, and Haus models a comparison group | Billboards, retail activations, events, regional radio, direct mail |
| Time Test | Compares a period with a daily forecast of what would have happened otherwise | Sponsorships, TV flights, influencer pushes, product drops |
For the comparison group, Haus says it builds synthetic controls instead of plain matched markets: a stand-in for each test region made from a weighted blend of others. Its example is Seattle compared with 60% San Francisco, 30% Denver and 10% San Diego. The platform also runs power analyses on demand, which show how small an effect a test could detect for a given length.
Haus's FAQ gives the basic arithmetic for a holdout test, where most of the country sees a campaign and the rest doesn't:
lift = (treatment conversion rate − holdout conversion rate) ÷ holdout conversion rate
In its example, a treatment group converting at 0.05 and a holdout at 0.02 gives a lift of 1.5, or 150%. A real geo test also compares each group with its own past, which geo testing and matched market testing walk through.
Who Haus is built for
Haus's pricing page shows four plans, with a demo link instead of a price on each. Who each one is for, in Haus's words:
| Plan | Best for | What it adds |
|---|---|---|
| Basics (for Shopify) | Self-starter DTC brands selling via Shopify and Amazon | Self-serve US geo tests on major ad platforms; incremental revenue and orders on Shopify and Amazon |
| Core | Mid-size brands on several ad platforms and sales channels | Custom metrics such as LTV, international tests, a dedicated measurement strategist |
| Plus | Companies investing in brand and growth marketing | Influencer, podcast, out-of-home and TV tests; Causal MMM |
| Enterprise | Large, complex organizations | Tests across brands and regions, a dedicated data scientist |
So Haus isn't only for enterprises. A brand on Shopify and Amazon can start on Basics. The plan is labelled "for Shopify," so if you sell only on Amazon, ask Haus whether Basics works without a Shopify store.
Haus and Amazon sales
Haus measures Amazon sales directly. Its Amazon and retail page says it ingests Amazon and retail data to report total lift across all sales channels for every experiment you run, and the pricing page lists Shopify and Amazon integrations on every plan. Among its use cases, the experiments page asks whether ecommerce ads boost retail or Amazon sales. For a brand whose Meta ads drive Amazon orders, that's the right question, and Haus is built to answer it.
Who should choose which
Stay with Haus if you want a vendor to run experiments, a causal media mix model and attribution, and a demo is an acceptable way to see the price. Basics is the self-serve plan, labelled for Shopify and Amazon.
Use GeoLift if someone on your team will run the test in R. Its site calls it a research tool, not a Meta product. A spreadsheet can run a matched-market test from orders by ship-to state. The holdout test calculator sizes it, and geo testing walks through the design.
The other rows in the shortlist have their own pages: Recast, Measured and Triple Whale.
Frequently asked questions
What is Haus incrementality?
Haus is a platform for incrementality testing: experiments that compare regions exposed to your marketing with regions that weren't, to measure what the marketing caused. It also sells a causal media mix model and causal attribution built on those tests.
Does Haus measure Amazon sales?
Yes, according to its site as of October 2026. Haus says it ingests Amazon and retail data and reports total lift across sales channels for each experiment, and its pricing page lists Shopify and Amazon integrations on every plan.
Is Haus only for large brands?
No. Its Basics plan is self-serve and described as best for self-starter DTC brands selling via Shopify and Amazon. Higher plans add strategists, international tests and MMM for larger companies.
What's the difference between Haus and GeoLift?
GeoLift is open-source R code for designing and analyzing geo experiments yourself. Haus is a commercial platform with its own methods, a team that helps design and read tests, and products beyond testing.
Can I run a geo test without a vendor?
Yes. Pick two groups of regions that have sold in step, pause ads in one using location targeting, and compare how each group's sales moved against its own history. The hard parts are choosing the groups and making the test big enough to see a realistic lift.
How much do Haus alternatives cost?
Haus doesn't publish a price. Each plan links to a demo, as of October 2026. GeoLift is free open-source code. The dashboard on this site is $19 a month, and holdout tests start on Starter at $49 a month.