Northbeam vs Triple Whale

What each one actually is

Northbeam is a marketing measurement platform for scaled direct-to-consumer ecommerce. It sits over your entire 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 things do that 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 Plus forecasts revenue by budget scenario and measures the spend clicks alone cannot see. And Northbeam Apex feeds that first-party conversion data straight into the Meta and AppLovin ad algorithms, a step past a standard conversions API.

Triple Whale is an analytics and attribution app for the same kind of brand, most of them on Shopify. It connects your store, ad accounts, email and SMS, and turns the lot into one real-time view: blended MER and ROAS, CAC, LTV, contribution margin, and profit once you enter your costs. Two things sit under that. Its own pixel, marketed as Sonar, collects first-party and server-side signal so attribution keeps working where browser tracking breaks. And Moby, the AI layer the company now leads with, reads your live data and answers questions in plain language, up to automating repeatable reporting on the paid tiers. Where Northbeam leads with attribution depth and modeling, Triple Whale leads with a broad command center and an AI operator, with a free tier to start.

What they measure, and where they part

They overlap more than most pairs on this site. Both read across your whole marketing stack rather than routing clicks, both apply their own model instead of trusting each platform's self-reported ROAS, and both send conversions back server-side to the ad platforms. The split is depth versus breadth and reach. Northbeam puts its weight into the attribution itself: view-through revenue, long windows, incrementality and media-mix modeling, plus Apex closing the loop back to the algorithms. That is the deeper read of which dollar of spend created which sale, and it is why a brand at real scale pays $1,500 a month and up for it. Triple Whale puts its weight into breadth and adoption: one app where profit, attribution, creative and an AI assistant live together, used by far more brands and reachable on a free plan. It is the popular Shopify default, not the deepest attribution engine.

The trade shows up at the edges. Long-time Triple Whale users say the app drifted from simple and clear to, in one operator's words, "confusing af and essentially just as convoluted as Google Analytics." That breadth is the reason it is a command center and the reason it carries a learning curve. Northbeam runs the other way: it is a measurement platform, not a general dashboard with an AI operator attached, so a team that mainly wants one profit view everyone trusts, plus AI to summarize it, is buying more attribution machinery than it needs and losing the free-to-start path Triple Whale offers.

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 Triple Whale each apply one independent model across every channel, and the gap between that and the platforms is the over-attribution you are paying to see. Triple Whale makes the gap vivid: one operator saw Meta report a 4-plus ROAS while Triple Whale measured 1.8, with 58% of orders overlapping between Google and Meta. The catch with Triple Whale is that the gap unsettles people, who cannot always tell which number to trust. Both also need discipline to be accurate: Northbeam's own docs require its tracking parameters on every ad, surviving any advertorial or off-domain hop before the pixel fires, and Triple Whale depends on clean UTMs and a correctly installed Sonar pixel. Treat whichever you buy as the cross-channel decision layer, reconciled weekly against backend Shopify revenue, not a single source of truth.

Who each one is for

Northbeam is the fit when your core pain is attribution at scale. 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 channel actually drove new revenue and where the next budget dollar should go, its multi-touch model, media-mix modeling and Apex feedback earn their quote. Below that spend the standard advice holds: fix tracking first with clean UTMs, server-side events and blended metrics like MER and new-customer CAC, and the tool is more than the decision warrants. See the full Northbeam review, how it reads against a lighter reporting platform in Northbeam vs Polar Analytics, or the alternatives to Northbeam.

Triple Whale is the fit when you want the widely used Shopify command center with an AI operator, and a free way to start. A Shopify brand that has outgrown native reports and a spreadsheet, wants profit, attribution and creative in one app, and wants to point Moby at its own data before paying anything, is exactly who it is built for. Its ceiling is attribution depth: it runs several models but does not do media-mix modeling or feed the ad algorithms the way Northbeam's Apex does, and past roughly $50k a month its pixel-based read is a cross-check, not a settled truth. A four-year user was blunt that below about $10 million a year it is "a waste of money." See the full Triple Whale review or the alternatives to Triple Whale. Both share a third rival worth a look, Polar Analytics, the Shopify-native BI platform that sits between them on price and depth. One caveat applies to both here. Neither tool fixes a weak offer, a broken pixel setup or low Event Match Quality. They make the numbers clearer. They do not make the funnel better.

Northbeam does not publish a self-serve price. Its plans start at $1,500 a month (Starter, for brands under $1.5m a year in ad spend) and $3,500 a month (Professional, up to $500k a month in spend), with custom Growth and Enterprise tiers, all quoted after a demo and tied to your spend. Media Mix Modeling and incrementality are optional add-ons. Buyers report the real annual cost lands near $30,000 to $50,000, and there is no free trial to test it first.

Triple Whale starts at the opposite end: a genuine free plan with no credit card, which includes Moby AI and one trusted view of your data. Past that, the paid Foundation, Automate and Enterprise tiers are quoted after a walkthrough and scale with your store revenue, so there is no public price to plan against. Operators at Shopify Plus scale have reported quotes around $30,000 a year.

On the way in, this is not a close call: Triple Whale is free to start and Northbeam is a four-figure monthly commitment quoted after a demo. At the top end the two converge, because both scale with the size of the brand. The number to weigh is not $0 against $1,500. It is whether you are paying for the deeper attribution and media-mix modeling Northbeam leads with, or the breadth, adoption and AI that Triple Whale leads with. Price the plan you would actually run against the pain you are actually solving.

Prices read from each vendor's own pricing page, current as of 24 September 2026.