Haus

500 marketing and finance leaders from US-based enterprises. One uncomfortable truth: Only half say they’re measuring how marketing drives business outcomes. • 40% say their measurement tools make it much easier to take decisive action • 35% suspect more than a fifth of their budget is misallocated, but can't confirm it • 71% believe AI-powered marketing tools prioritize short-term performance over long-term brand growth The organizations that can clearly connect paid media to incremental business outcomes make faster, more defensible decisions. Over time, this compounds into durable growth advantages. Haus’ 2026 Decision Confidence Index is live. Link in comments. 🔽

@RamP Find the full list here: ramp.com/vendors/catego…

Haus just claimed the top spot in the new Marketing Measurement category on @Ramp Rate, which is the company’s public vendor adoption index for SaaS buyers and analysts. Based on real SaaS spend data from 50K+ companies, Ramp Rate highlights how quickly teams are adopting Haus to measure causal marketing impact. We’re proud that more teams trust us to solve their biggest measurement and decision-making challenges. The growth numbers are exciting, but even better are the hard-earned wins, creative solutions, and real partnerships our team and customers are building every day. Check out the full category and data at the link in the replies.

Next week, we’re going live for a jam-packed Open Haus all about operationalizing MMM. This is causality-driven MMM in theory and in practice, featuring real stories from leading brands like @StockX and @OluKai. When: Wednesday, February 25 @ 3pm ET / 12pm PT. Where: Live on Zoom. RSVP at the link in the comments.

RSVP here: hausanalytics.zoom.us/webinar/regist…

Our next Open Haus is all about turning your MMM results into real business impact. In this live, hour-long episode, @oliviaakory will speak with growth marketers from leading brands like @StockX and @OluKai to learn how they’ve operationalized Causal MMM and translated it into improved efficiency and growth. Leaders from the Haus team will also be there to walk through what operationalizing MMM looks like in practice. In an hour, you’ll walk away understanding why an MMM grounded in experiments is different — and how you can use it to guide real budget decisions. 📅 Wednesday, February 25 @ 3pm ET / 12pm PT 🔗 RSVP link below.

@HausAnalytics @9operators @AaronOrendorff Had to rep it today to finish out Jan strong 🚀

Holy s***, you guys. @HausAnalytics’ interactive case studies are f****** cool. You can play around with your own versions of the test. Damn. h/t @DerekLauermann whose (non-sponsored) main piece in today’s @9operators newsletter is why I stumbled upon them 😋 SO TASTY

"The best teams think of incrementality testing as a journey," says @oliviaakory on our latest Open Haus. "They're using experiments to make their numbers better over time." One of Olivia's favorite examples of continuous testing is the journey @codyplof and the @jonesroadbeauty team undertook on Meta last year. Across a series of tests, the JRB team steadily improved their baseline results, eventually driving a 31% improvement in new customer iROAS and a 21% decrease in cost per thousand accounts reached. Here's exactly how they did it ⬇️ Check out the full episode at the link in the comments.

Full episode: youtube.com/watch?v=KI7OqZ…

"I went through the seven stages of grief when we uncovered this learning," says @oliviaakory on our latest Open Haus. See what she picked as the most controversial marketing learning on 2025 ⤵️

Watch on YouTube: youtube.com/watch?v=ZwDabi… Listen on Apple: podcasts.apple.com/us/podcast/mea… Listen on Spotify: open.spotify.com/episode/1eP7MS…

Not all marketing experiments are created equal. Applied Scientist Morgan Stockham recently joined @oliviaakory on Open Haus to explain why your experiment design matters and why some tests deserve more trust than others. While our recently-launched Time Tests product is a great option for teams, it's also important to be aware of the trade-offs. Ranked by statistical power: GeoLift Time Testing Pre-Post Analyses Key takeaway: Time Tests are your solution when GeoLift is not possible. A Haus GeoLift test delivers 5.5x better model confidence vs. a time test, which matters when you're betting millions on the outcome. It comes down to a popular idea on the Haus Science team: identification. You can have the best model in the world, but without identification, it is still correlation. For more on Time Tests, check out the full episode, linked in the replies.

@oliviaakory from @HausAnalytics on Marketecture Live: 640 incrementality tests show Meta lifts fast, but Advantage+ vs. manual setup is inconsistent and can skew toward low funnel. Don’t trust platform reports alone. Test incrementality by brand. Link below 👇

Read it here: haus.io/tiktok

It’s here: The TikTok Report. We analyzed hundreds of Haus incrementality experiments over the past 2.5 years across verticals like media, consumer mobile apps, gaming, ecommerce, retail, health and wellness, and more. Not every brand tests TikTok frequently. But across brands who have run 3+ Haus incrementality experiments on TikTok, they have on average scaled TikTok by an additional 13% beyond their first-test baseline spend, relative to other digital channels in search and social. A few soundbites from the report: - There’s more variation in week-over-week spend on TikTok than on similarly scaled search and social channels, suggesting brands see opportunity in TikTok and are actively trying to find the sweet spot. - TikTok is a strong funnel-builder ahead of promotional periods. Brands observed an additional 68% lift to their primary KPI during an experiment’s post-treatment window, during which delayed effects from advertising are measured. -TikTok is an effective driver of halo effects on Amazon and retail. Data shows TikTok delivers nearly twice as much value – 1.9x – when brands look at omnichannel impact rather than measuring DTC lift alone. The report is free and available to read or download on the Haus blog. We’ll share the link in the comments. Enjoy!

BFCM is in full swing, and these brands are leading the way. What do more than half of them have in common? You guessed it: Haus.

Learn more here: haus.io/blog/causal-in…

AI is *so* much more than automating tasks. At Haus, we call our AI backbone “Causal Intelligence” – or cAI for short. cAI unleashes scientific rigor, reduces manual errors, and makes complex analytics accessible and actionable for every marketer – responsibly and quantifiably.

Sign up here: haus.io/tiktok

In the world of growth marketing, there are a handful of TikTok-related questions we hear every so often. For example: / Do I need TikTok to succeed? / Can TikTok scale? / How much omnichannel impact does TikTok drive? / Is TikTok a strong investment during promotional periods? / Is TikTok a strong new customer acquisition channel? / What kinds of advertisers thrive on TikTok? And so we decided to do something about it. Our next big research report covers our third-most tested ad platform: TikTok. Sign up at the link in the comments to get notified when it publishes.