by Trivas.aiEvery attribution tool's homepage looks the same. Dashboards, "true ROAS," multi-touch modeling, some AI buzzword bolted on. What actually separates them is quieter: which platforms they connect to natively, and which ones need a CSV upload and a prayer.
Northbeam is built primarily around ad platform and DTC ecommerce data. That's its home turf, and it shows in how the product is architected. But "supports an integration" can mean a lot of things. Sometimes it's a real-time API pull. Sometimes it's a once-a-day batch sync. Sometimes it's not really supported at all, just technically possible if you export data yourself and drop it in.
This post answers two questions plainly: what's actually on the Northbeam integrations supported list, and what's missing that matters if you're not a pure single-channel Shopify brand anymore. If you're comparing options, the gaps matter as much as the connections.
Ad platforms
Northbeam's strongest coverage is here. Meta, Google Ads, TikTok, Snapchat, and Pinterest are the primary paid media connections, and this is where the tool was clearly designed to live. Makes sense, since attribution modeling only works if you're pulling spend and conversion data straight from the source.
Ecommerce platforms
Shopify is the primary storefront integration, and it's a deep one. Support for other cart platforms is thinner, which matters if your brand runs on BigCommerce, Magento, or a custom stack.
Analytics and tracking layer
GA4 and server-side pixel tracking round things out here, used to reconcile what ad platforms report against what actually converted. This is the layer that makes Northbeam's attribution numbers credible instead of just repeating whatever Meta says.
Email, SMS, and retention tools
Klaviyo and similar platforms let you attribute revenue back to owned channels, not just paid ones. Useful if a chunk of your revenue comes from flows and campaigns rather than ad clicks.
Payments and subscriptions
Stripe and Recharge style connections handle recurring revenue attribution, which matters more every quarter as subscription models spread across DTC.
Taken together, it's a tight, coherent list for a brand that sells almost entirely through its own Shopify store and spends on the big five ad platforms. If that's your business, the Northbeam integrations supported list covers your core stack well.
Here's where it gets less flattering.
Marketplace coverage
There's no meaningful native support for Amazon, Walmart, Target, eBay, or Etsy. Not a small oversight, either. It's a direct consequence of how Northbeam is built: DTC ad attribution first, marketplace performance data not really on the roadmap.
International marketplace gaps
If you sell on Zalando, Allegro, Cdiscount, or other EU marketplaces, you get nothing native. Zero. Any brand expanding into Europe through marketplaces instead of (or alongside) a Shopify storefront is on its own here.
B2B and wholesale channels
Brands running a blended DTC-plus-wholesale model won't find much support either. That revenue just sits outside the tool's view.
Why this actually matters
If Amazon is 5% of revenue, fine, ignore it. But plenty of growing brands are pushing 20-40% of revenue through Amazon and other marketplaces, and that number keeps climbing as brands diversify off Meta and Google spend. When that's true, you end up stitching marketplace numbers together manually, outside the tool you're paying for, in a spreadsheet nobody trusts by month three. For a full look at how marketplace data can (and should) plug into the same reporting layer as your DTC numbers, see how Amazon integrations fit into ecommerce analytics.
This is the part where the gap becomes concrete.
Marketplace coverage
Trivas connects Amazon, Walmart, Target, eBay, Etsy, Best Buy, and Home Depot, plus EU marketplaces including Zalando, Allegro, Cdiscount, ManoMano, and Kaufland. Northbeam's list, as covered above, has none of these. If your brand sells across more than just its own storefront, this is the single biggest practical difference between the two tools.
Ad platform coverage
Trivas covers Meta, Google Ads, TikTok, and Reddit Ads, alongside Amazon Ads specifically. That last one matters more than it sounds. Brands running marketplace-native ad spend (Sponsored Products, Sponsored Brands) need that data sitting next to their off-Amazon ad spend, not in a separate silo somewhere.
Data warehouse flexibility
Trivas dashboards run on Amazon Redshift. Practically, that means your data lives in a queryable warehouse layer, not locked inside fixed dashboard views. Anyone who's tried to answer a slightly nonstandard question in a dashboard-only tool knows the frustration of hitting a wall because the report builder just doesn't do that specific breakdown.
Ecommerce platform breadth
Shopify and WooCommerce are both supported side by side. Northbeam's setup is Shopify-centric, so brands running WooCommerce alongside or instead of Shopify have a real gap to work around. For Shopify-specific setup details, see how the Shopify integration works, or check out Trivas AI on the Shopify App Store directly.
Setup and support
Onboarding and API/developer support options exist for teams that need custom data pipelines instead of relying purely on fixed connectors. That flexibility matters more once your data needs get past "plug in the standard five platforms and call it done."
Don't take "we support X" at face value, from anyone. A few questions worth asking directly:
Is it raw data or summary metrics?
An integration that pulls raw, line-item level data lets you build custom breakdowns later. One that only hands you pre-aggregated totals locks you into whatever reports the vendor decided to build. Ask which one you're actually getting.
How often does it actually refresh?
"Real-time" gets thrown around loosely. Ask for the actual refresh interval, per integration, not per marketing page. A daily batch sync on your Amazon data isn't real-time, no matter what the sales deck says.
Is marketplace and international data really native?
Or does it require exporting a CSV from Seller Central and importing it by hand every week? That workaround gets old fast, and it's exactly the kind of manual process a good data integration setup is supposed to eliminate.
Can you get your data out?
If you outgrow the vendor's native dashboards, can you export the underlying data into your own warehouse or BI tool? Or are you stuck with whatever views they've built? This one question tends to separate tools built for long-term flexibility from ones built to keep you inside their walls.
Northbeam's core list is genuinely strong if you're a pure DTC brand running Shopify plus the major ad platforms. It's a focused, well-built tool for that specific setup. Where it thins out is marketplaces and global channels, and that gap isn't a rounding error for brands with real Amazon, Walmart, or EU marketplace revenue sitting alongside their storefront.
If that's your situation, weigh the gap seriously before you commit. A brand doing a third of its revenue through marketplaces shouldn't have to build a second reporting system just to see the whole picture. For a fuller side-by-side, the comparison of Northbeam, Polar, and Trivas breaks down more of the differences in one place.
If you're currently evaluating your stack and want to talk through exactly which channels and platforms you need covered, it's worth working through the specifics before you switch anything. And if you just want to keep tabs on how these tools evolve, subscribing to updates is a low-effort way to stay ahead of it.
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