The machine-learning measurement engine that tells DTC brands what their ad spend actually drives - in a world where the cookies have crumbled.
A growth marketer at a kitchenware brand has three tabs open: Meta Ads Manager swears it drove the weekend's sales, TikTok claims the same conversions, and Google quietly takes credit too. Add it up and the ads delivered 240% of the revenue that actually landed. Everyone is winning. The bank account disagrees.
This is the daily comedy of modern marketing - every platform grades its own homework, and they all give themselves an A. Then the marketer opens a fourth tab. It is Northbeam, and it does the one rude thing none of the others will: it tells the truth.
Northbeam is a marketing measurement platform built for direct-to-consumer and ecommerce brands. Founded in San Francisco in 2019 by Austin Harrison and Dan Huang, it does what no single ad platform is willing to do - look across all of them at once and connect ad views and clicks to the revenue that genuinely showed up.
Most attribution tools pick a lane. Northbeam refuses. It runs multi-touch attribution (bottom-up, click-by-click), media mix modeling (top-down, channel-by-channel), and incrementality testing (the lift you'd lose if you turned the ads off) - and then asks all three to agree. When they do, you have something rare in marketing: a number you can defend in a board meeting.
Maps every touch in the journey and assigns revenue credit to clicks and views against real first-party transactions.
Statistical, top-down view of channel impact and budget allocation - the cookieless complement to MTA.
Measures true lift, reportedly without geo holdouts - separating ads that cause sales from ads that just stand near them.
Finds the ads that work, flags creative fatigue, and drills down to ad- and product-level performance.
First-party data optimization that sends cleaner conversion signals back to the ad platforms.
The pitch is not complicated. Platforms overcount because over-counting sells more ad space. The chart below is the problem Northbeam exists to fix - illustrative of the double-counting marketers face when each channel takes full credit.
Austin Harrison didn't arrive from a typical ad-tech background. He'd built random-sampling audience panels for NetRatings - the work that eventually folded into Nielsen - and, in an earlier chapter, co-founded an animation studio Hasbro hired to help develop a Transformers series. Measuring audiences, it turns out, is a habit that travels.
Then he met Dan Huang, who'd written his Stanford master's thesis on machine learning under Andrew Ng and built the data engine at an online tailoring company. Together, in 2019, they shipped the first version of Northbeam. One founder knew how hard honest measurement is. The other knew how to teach a machine to do it anyway.
For a growth team, Northbeam turns a morning of arguing with dashboards into a decision. You can see which channel is genuinely incremental and which is taking a victory lap on sales it never influenced. You can catch a creative going stale before the cost-per-acquisition tells you the expensive way. You can forecast a scenario - "what if we shift 20% from prospecting to retargeting?" - and get a modeled answer instead of a hunch.
And because so much of it runs on a first-party device graph rather than third-party cookies, it keeps working as the privacy walls go up. That's the quiet bet Northbeam made early: the cookie was always going to die, and the brands who'd already moved to first-party measurement would be the ones still able to see.
Tip: search "Northbeam demo" on YouTube for the latest product walkthroughs.
The marketer at the kitchenware brand still has the same $40,000 to spend. But now there's only one number on the screen, and it doesn't add up to 240%. It adds up to 100% - because Northbeam went and asked the bank account, not the ad platforms.
Meta no longer gets to grade its own homework. TikTok stops double-dipping. The weekend's real winner gets the next dollar, and the channel that was bluffing gets cut. The spend goes out the door a little smaller and a lot smarter. That's the whole job: not more dashboards, just one that's willing to be honest. The tabs are closed. The decision is made. And for once, everybody isn't winning - which is exactly how you know the number is real.