What the interviews show. Thirteen companies here evaluated or used both, but the direct outcomes do not favor either: one scored evaluation chose Haus, one company moved from a Haus test it did not pay for to Measured, one chose a third vendor while saying it probably should have gone with Haus, and others had not decided. Haus buyers concentrate their praise on tests finance teams can understand and, separately, on using results to change budgets; cost and contract structure are their most consistent complaint, and trust in results is contested. Measured buyers concentrate their praise on tangible budget recommendations across channels; their complaints center on gaps in scope, cost and, for some, an opaque method.
| Strongest contrast in these interviews | Commentary centres on incrementality tests, and on their cost and contract structure | Commentary centres on budget recommendations, with scope limits the recurring complaint |
|---|---|---|
| Buyer pattern in these interviews | Includes DTC and consumer brands running paid social and search | Includes consumer brands and multi-brand retailers, including accounts measuring offline media |
| Most-discussed job | Incrementality and geo-lift testing | Incrementality testing and mix modeling |
| Also does | A mix-modeling add-on some buyers use or weigh | A combined read with multi-touch data, for some buyers |
| Praised most | Tests finance teams can understand; results used to change budgets | Tangible recommendations on where to move budget |
| Top complaint | Cost and contract structure; contested trust in results; data and onboarding work | Gaps in scope; cost and contract length; an opaque method for some buyers |
| Relative cost | Cost is its most consistent complaint, on contracts that bill through months without tests | Called expensive by several buyers, one locked into a multi-year contract |
| Where buyers say it fits | Regular incrementality testing, with several buyers describing results changing budgets | Budget recommendations across channels, including offline media in one account |
What buyers say about each platform
Every buyer interview spends its minutes somewhere — praising the thing that won the deal, or flagging the thing that still stings. Map where those minutes go for Haus and Measured, and the two sort less by what they do than by where buyers' praise and complaints concentrate:
Relative share of buyer commentary by theme in Alium's verified interviews, praise vs. complaint, through October 2026. Widths compare themes within this pair — they are relative, not counts.
In their own words
The phrases buyers reach for, verbatim, when they describe each platform:
Haus
“the finance team definitely understands the incrementality data” finance
“very strong correlation with the actual revenue figures” accuracy
“They do so much training” support
“It's still just a black box.” transparency
“we can't turn off Haus and save on the dollars” contract
“a lot of back-end work that the media teams need to do” onboarding
Measured
“has affected how we spend media” budget
“very tangible recommendations around take budget from this” actionability
“a really smart group of people” support
“wouldn't show us what was underneath the hood” transparency
“Measured's not de-duplicating things” scope
“That's very expensive, so I had to cut it.” cost
Where Haus buyers concentrate their praise
Haus buyers concentrate their praise on incrementality tests finance teams can understand, and separately on using results to change budgets. One says “the finance team definitely understands the incrementality data,” and another reports “very strong correlation with the actual revenue figures.” Several describe turning test results into budget changes, and some praise account teams that help design tests. The complaints are consistent: cost is the most frequent, with buyers describing pricing built around a monthly testing cadence and annual contracts that bill through months without tests. Trust in results is contested — one buyer calls it “still just a black box,” another says it projects more confidence than mid-size brands can support. Others describe back-end data work, difficulty bringing in retail data, and a platform more self-serve than they expected.
Where Measured buyers concentrate their praise
Measured buyers concentrate their praise on tangible recommendations about where to move budget. One says it “has affected how we spend media,” and another describes “very tangible recommendations around take budget from this and put it here.” Some praise the client team, one its interface, and one buyer running offline media describes it covering TV, radio and out-of-home. The complaints center on scope: buyers describe weak multi-touch de-duplication, trouble with international data, and a tool that is not built for day-to-day reads. Cost and long contracts recur, a few describe a method they could not see into, and account-team quality varies by rep for some.
On cost, the interviews do not compare the two directly. Both are called expensive. Haus's cost complaints are more frequent and more often about structure — paying through months without tests — while Measured's center on value for smaller brands and on contract length.
What buyers wish they'd known
Before picking Haus
Cost is the most consistent complaint, and buyers describe pricing tied to a monthly testing cadence on annual contracts that keep billing in months without tests, with the tests' own media on top. Trust in results is contested for some, and one mid-size brand questions the confidence its size can support. Buyers also describe back-end data work, difficulty with retail data, and a more self-serve model than they expected.
Before picking Measured
Buyers describe gaps in scope — weak multi-touch de-duplication, trouble with international data, and a tool not built for day-to-day reads. Some found its method hard to see into, several call it expensive for smaller performance-marketing brands, one is locked into a multi-year contract, and account-team quality varies by rep for some.
Four questions the interviews raise
Buyers here discuss it primarily around recurring incrementality tests.
Buyer commentary extends further into ongoing budget recommendations across channels.
One buyer describes finance understanding its test data, and several describe results changing budgets; one questions its confidence at mid-size scale.
Buyers praise tangible recommendations; one found it only confirmed what it already knew.
Buyers describe back-end work and in-house data support to onboard it.
Buyers describe needing a lot of data, and expert support to run tests.
Cost is its most consistent complaint, with contracts that bill through months without tests.
Called expensive by several buyers, one locked into a multi-year contract.
How the operating conditions differ
Recurring situations in the corpus, and where the evidence concentrates in each:
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Get the read for your brand →Pressures visible in these interviews
The complaints these interviews carry sit on both sides: Haus's are cost and contract structure, contested trust in results, data and onboarding work, and coverage of retail and some channels; Measured's are gaps in scope, cost and contract length, a method some could not see into, and account-team variability. The clearest distinction in these interviews is where buyer emphasis falls: Haus buyers talk more about the test itself — confidence, finance comprehension, testing cadence, media and data work, contract economics — while Measured buyers talk more about the measurement output across the portfolio: where budget should move, channel coverage, testing and mix modeling together, and where scope falls short. Separately, several smaller brands question whether the cost of Haus or Measured makes economic sense at their media-spend level. For the category as a whole, see what MMM buyers wish they'd known and what buyers actually pay for attribution and measurement tools; for Haus against a multi-touch attribution tool, Haus vs. Northbeam.
Common questions
Haus vs. Measured: which is better?
The interviews do not establish one as better. Thirteen companies here evaluated or used both, and the direct outcomes are mixed: one scored evaluation chose Haus, one company moved from a sponsored Haus test to Measured, and one chose a third vendor while saying it probably should have gone with Haus. Haus buyers talk more about the test itself — confidence, finance comprehension, testing cadence and contract economics. Measured buyers talk more about the output across the portfolio — where budget should move, channel coverage, and where scope falls short.
What's the difference between Haus and Measured?
In these interviews, buyers discuss Haus mostly around incrementality and geo-lift testing, with a mix-modeling add-on some use or weigh, and its accounts here are concentrated among venture-backed DTC and consumer brands. Measured is discussed across incrementality testing, mix modeling and a combined read with multi-touch data, among a broader set of buyers that includes enterprise multi-brand retailers and brands running offline media.
Is Haus more expensive than Measured?
The interviews do not compare their prices directly. Both are called expensive. Cost is the most consistent complaint about Haus, with buyers describing pricing built around a monthly testing cadence and annual contracts that bill through months without tests. Measured buyers also call it expensive, especially for smaller performance-marketing brands, and one describes a multi-year contract it cannot exit.
Do companies switch from Measured to Haus?
Not in these interviews. Several companies left Measured, for another vendor, an in-house approach or no replacement yet, and several left Haus, mostly on cost. One company moved from a Haus test it did not pay for to Measured.
Is Haus or Measured better for marketing mix modeling?
The interviews do not settle it. Measured buyers discuss mix modeling more, and some describe it combined with testing into one read, though one says its mix model is not yet a full one. Haus offers a mix-modeling add-on; one buyer says adding it would double the price, and another describes it as a significant data ask.
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