The Ecomm Analyst

Haus is an incrementality platform built around geo experiments. Instead of trusting platform-reported ROAS or last-click attribution, it splits regions into test and control groups, runs holdouts using synthetic controls and stratified sampling, and tells you the true incremental lift of a channel or tactic. It is backed by serious funding and staffed with PhD scientists who help design and interpret tests, and it covers channels from Meta and Google to CTV, TV, and retail media. This is rigorous, causal measurement, and for brands that have made expensive budget calls on bad data it can pay for itself fast. Pricing is not published, which signals the tier it plays in.

Brands look around for a few reasons. Geo incrementality is powerful but demanding. You need enough spend and enough geographic spread to run a clean test, and you need the patience to wait for results, which rules out a lot of smaller brands. The expert-led model is part of the value and part of the cost. And incrementality answers a specific question, did this spend cause incremental revenue, which is not the same as the everyday question of where today’s sales came from. Some teams discover they wanted ongoing attribution, not periodic experiments, and the two are different tools.

Here are five alternatives, ranging from heavier experimentation to the simple attribution baseline I run by default.

Measured

Measured is the most direct peer, pairing geo-based incrementality testing with marketing mix modeling for enterprise brands. The methodology is sound and the client list is blue-chip, with contracts that generally start above two thousand a month. If you want incrementality plus a modeled view of the whole budget and you have the scale to support it, Measured and Haus belong on the same shortlist.

Recast

Recast approaches the same problem from the modeling side, with Bayesian MMM that can be calibrated against incrementality tests rather than running those tests as the primary method. For a brand that wants always-on measurement of the full mix and is willing to feed and trust a model, Recast is a strong alternative to a pure experimentation tool. It suits eight-figure spenders with a data team to engage.

Lifesight

Lifesight folds incrementality testing into a broader platform alongside MMM and multi-touch attribution. The appeal is getting experiment-style measurement without committing to a single-purpose experimentation vendor, inside a tool that also handles your day-to-day attribution. It is a reasonable choice for a brand that wants to grow into incrementality gradually rather than start with a rigorous geo program on day one.

ThoughtMetric

ThoughtMetric is the attribution tool I use across client stores, so take the bias as given. It is not an incrementality platform and will not run geo holdouts, so this is not a like-for-like swap. I name it because many brands investigating Haus are trying to answer a question that attribution handles for a fraction of the cost and effort, namely which channels and campaigns are actually driving revenue. At $99 a month with multiple models, post-purchase surveys, and server-side tracking, it is the sensible baseline to have in place before, and arguably instead of, an expensive experimentation program. Use incrementality to validate the big bets, use attribution to run the business.

INCRMNTAL

INCRMNTAL takes an always-on, AI-modeled approach to incrementality rather than discrete geo experiments, aiming to measure causal impact continuously without you designing and waiting on individual tests. That continuous model is the main philosophical difference from Haus, and whether it suits you depends on whether you prefer rigorous periodic experiments or a steady modeled read. For teams that want incrementality signal without running a formal testing roadmap, it is the alternative worth a look.

Picking between these

• If you want incrementality plus full-budget MMM at enterprise scale, Measured is the closest peer.
• If you prefer a transparent model calibrated by experiments over experiments themselves, Recast fits.
• If you want incrementality bundled with everyday attribution, Lifesight is the all-in-one.
• If you mainly need to know which channels drive revenue right now, ThoughtMetric does that far more cheaply.
• If you want continuous modeled incrementality instead of discrete tests, INCRMNTAL is the philosophy match.

Haus is excellent at the job it does, which is proving cause and effect for brands big enough to test properly. The mistake is buying experimentation when what you needed was reliable day-to-day attribution. Get clear on whether you are validating big bets or running the business, because that distinction decides which half of this list you belong in.