Northbeam vs Measured

What each one actually is

Northbeam is a marketing measurement platform for scaled direct-to-consumer ecommerce. It sits over your whole paid-media mix and answers one question: across Meta, Google, TikTok, YouTube, email and the rest, which channels and creatives are actually driving new revenue, and which are taking credit for sales that would have happened anyway. Three parts do the work. Multi-touch attribution stitches every touchpoint into one first-party view, with lookback windows long enough to credit an ad that pays off weeks later. Media-mix modeling forecasts revenue by budget scenario and values the spend clicks alone cannot see. And Northbeam Apex feeds that first-party conversion data straight back into the Meta and AppLovin ad algorithms, a step past a standard conversions API.

Measured is a media-effectiveness platform for mid-market and enterprise brands, and it reaches a similar goal by a stricter method. It fires no pixel and follows no individual user. What sets it apart is that it runs live geo holdout experiments, turning spend off in some regions and leaving it on in others, to measure the causal lift a channel produces, then calibrates a media-mix model against those real tests. On top sit a Media Plan Optimizer that recommends where and how much to spend, saturation curves that show where added budget stops paying off, and peer benchmarks. The vendor calls it triangulated measurement: it combines causal experiments with media mix modeling to turn complex media portfolios into clear, accountable growth programs. Where Northbeam follows the click and models on top, Measured tries to prove the mix with experiments first.

Click-aware attribution versus causal experiments

This is the split under everything else. Northbeam is click-aware. It uses its own first-party tracking to follow real touchpoints, then layers modeling on top, so it can tell you not just that Meta deserves more credit than Meta claims, but which campaign and creative inside Meta earned it. That granularity is why a paid-media operator pays for it: the read goes down to the ad, not just the channel, and you can cut or scale a specific creative this afternoon.

Measured earns its credibility a different way. It runs actual incrementality experiments, geo-based holdouts that measure what a channel contributes by removing it and watching what happens to sales, then uses those results to calibrate its media-mix model rather than trusting a modeled number on its own. AdExchanger covered the revamped platform as one that blends automation, incrementality and MMM, and that blend is the point. It is the closest thing this category offers to proof, and it is why a brand with a finance team challenging every ROAS number pays for it. The cost is time and money. Experiments take weeks to stand up, and the read is at the channel level, not the individual creative, so it will not tell you which of thirty Meta ads to kill today.

Neither method is better in the abstract. Click-aware attribution is right when you need to act on individual campaigns and creatives and want a feedback loop into the platforms. Causal experiments are right when the stakes on a budget decision are high enough that a modeled estimate is not enough and you need to prove lift before you move the money.

What each one can see

The channel maps are where the difference shows. Northbeam is built around a direct-to-consumer brand's own store and its digital paid mix: Meta, Google, TikTok, YouTube, email and the rest, read down to the creative. That is the footprint of most performance ecommerce budgets, and Northbeam reads it in fine detail. Below the Professional tier it is mostly a Shopify story.

Measured casts a wider net across media types. Its causal read extends to connected TV, podcasts, offline and upper-funnel media, the channels where a click never happens and a pixel has nothing to catch. For a brand whose spend has grown past paid social and search into brand, streaming and offline budgets, that breadth is what a click-anchored platform structurally cannot give. The trade is that this reach is aimed at a bigger, broader advertiser, and it does not read down to the individual creative the way Northbeam does. If your budget is mostly Meta and Google performance spend, Northbeam sees it in more detail; if a growing slice sits in connected TV and offline, Measured is the one that can measure it at all.

The feedback loop: Apex versus nothing

Here the two stop mirroring each other. Northbeam's Apex is the part with no equivalent on Measured: it pipes first-party conversions back into the Meta and AppLovin algorithms, so the platforms optimize on a cleaner signal than the browser pixel gives them. If closing that loop is central to how you buy, it is a real reason to lean Northbeam.

Measured sends nothing back to the ad platforms. It is a measurement layer, not a conversion-API pipe: it tells you where to put the next budget dollar, but it does not feed the platforms to help them spend it. A click tracker like RedTrack posts the closed sale back to Meta, Google and TikTok; Measured does not. Scope that limit, though: Measured's job is proving lift, not optimizing bids, and for a brand that sets budgets from causal tests on a monthly or quarterly cycle, the missing pixel-feed matters far less than it does to a buyer optimizing daily. A brand that needs both the causal read and the feedback loop runs Measured alongside a tracker that feeds the platforms.

Why your numbers will not match Meta or Shopify

Expect either tool to report fewer conversions than Meta or Google, sometimes far fewer, and to differ from Shopify too. That is not a bug in either one. The ad platforms each count a sale if someone clicked in a window or merely viewed an ad and later bought, so they all claim the same order. Northbeam and Measured each apply one independent read across every channel, and the gap between that and the platforms is the over-attribution you are paying to see. The difference is what you reconcile against. Northbeam's numbers are click-anchored, so they line up more naturally with your ad accounts and can be checked campaign by campaign, though its docs require its tracking parameters on every ad. Measured's numbers are modeled estimates with confidence intervals from live experiments, so they will not match Meta, GA4 or Shopify to the cent, and that is the point. Whichever you buy, set a standing rule for which source wins when they disagree, and reconcile weekly against backend Shopify revenue rather than treating either as a single source of truth.

Who each one is for

Northbeam is the fit when your core pain is attribution you can act on at the campaign and creative level, and you want the platform to feed the ad algorithms too. If you are spending six or seven figures a month across Meta, Google, TikTok and more, and the question that costs you money is which creative actually drove new revenue and where the next dollar should go, its multi-touch model, media-mix modeling and Apex feedback earn their quote. It also gives you a published starting price to plan against. Its ceiling is reach and method: below the Professional tier it is mostly Shopify, it does not measure connected TV or offline the way Measured does, and its attribution is click-anchored rather than proven with live experiments. See the full Northbeam review, how it reads against a pixel-free modeling platform in Northbeam vs Fospha, or the alternatives to Northbeam.

Measured is the fit when you spend across a wide channel mix that reaches into connected TV, podcasts and offline, and a finance team is challenging marketing's numbers. Its geo holdout experiments give you a defensible, causal read that a click-based model alone cannot, and the serviced onboarding means a lean team is not left to run tests by itself. Its ceiling is cost, commitment and speed: no public price, an annual contract that scales with spend, heavy front-loaded data work, and no feedback loop back to the platforms. See the full Measured review, how it reads against an accessible click tracker in RedTrack vs Measured, or the alternatives to Measured. One caveat covers both. Below roughly $100,000 a month of spend, both are overkill, and clean server-side events with blended MER and new-customer CAC do most of the job for far less. Neither fixes a weak offer, a broken pixel setup or a low conversion rate. They make the numbers clearer. They do not make the funnel better. For the full field, see the best ad tracking and attribution software.

Changelog. 28 September 2026: first published, with pricing verified against each vendor's own pages and Measured's causal-experiment positioning confirmed on measured.com.