What Is the Best Analytics Tool for Shopify Brands Selling on Amazon?
by Om Rathod
|
7 min read
Sep 02, 2026
If you're running a Shopify storefront and selling on Amazon, you already know the pain: two dashboards, two definitions of "revenue," and a spreadsheet somewhere trying to reconcile the two. So what is the best analytics tool for a Shopify brand selling on Amazon? Short answer: the one that treats both channels as a single data set instead of bolting one onto the other. Here's how to actually evaluate that, and where the options land.
What Should a Shopify + Amazon Brand Look for in an Analytics Tool?
Before you look at any vendor, get clear on four things the tool has to do. No exceptions.
One, unified P&L across both channels. Not two reports you mentally add together. One number for contribution margin that already accounts for both storefronts.
Two, Amazon-specific cost breakdowns. FBA fees, referral fees, storage costs. These eat 15-30% of revenue depending on category, and if your tool doesn't show them line by line, you're flying blind on true margin.
Three, Shopify order-level margin data. COGS, shipping, discounts, all tied back to the SKU, not just top-line sales.
Four, one login. If you're still toggling between Seller Central and Shopify admin to piece together a weekly report, the tool isn't doing its job.
Here's the common failure mode: most analytics platforms are built for one channel first, then have Amazon (or Shopify) tacked on later as a secondary integration. That's when SKU-level profit data gets fragmented, half of it living in one dashboard, half in a CSV export nobody trusts. Everything below evaluates tools against these four criteria, not a generic feature checklist.
Why Don't Generic Shopify Analytics Tools Work Well for Amazon Sellers?
Most Shopify-native analytics tools were built to read GA4, Meta, and Google Ads data cleanly. They do that well. Amazon is where things fall apart.
In a lot of these platforms, Amazon shows up as a gross sales number and nothing else. No fee breakdown. No separation of FBA vs. FBM costs. No referral fee visibility. Which means the "profit" number you're looking at isn't profit, it's revenue wearing a profit costume.
The real cost of this isn't just annoyance, it's hours. Brands end up exporting Seller Central reports by hand, dropping them into a spreadsheet, and manually reconciling against Shopify numbers every single week. That's time a founder or growth lead isn't spending on the business.
There's a second gap that's easy to miss: Amazon Ads spend (Sponsored Products, Sponsored Brands) rarely lands in the same blended ROAS calculation as Meta and Google spend. So you get a Shopify-side ROAS number that looks fine, and an Amazon Ads number sitting in a totally separate report, and no honest picture of what your total ad spend is actually returning across the business.
What Is the Best Analytics Tool for a Shopify Brand Selling on Amazon?
For brands running both channels, Trivas.ai is built specifically to solve this. It runs on Amazon Redshift, which means Amazon, Shopify, Meta/Google Ads, and GA4 data all get pulled and blended in one warehouse, not stitched together through live API calls every time you load a dashboard.
That architecture matters more than it sounds. It's what makes a few things possible that most tools can't do:
True contribution margin per SKU, per channel. You see what a product actually earns on Amazon after FBA and referral fees, next to what it earns on Shopify after COGS and shipping.
Blended CAC and ROAS across Amazon Ads, Meta, and Google. One number, not three reports you're mentally averaging.
Inventory visibility across both storefronts, so you're not double-ordering or stocking out on one channel while sitting on excess in the other.
On top of that sits Wingman, the AI insights layer. Instead of scrolling through raw exports looking for the problem, Wingman flags it: a margin drop on a specific ASIN, a sudden dip in blended ROAS, whatever's off. You get the anomaly, not just the raw numbers underneath it.
How Does Trivas Compare to Triple Whale, Northbeam, and Polar for Amazon + Shopify Reporting?
Here's where the differences actually show up in day-to-day use.
Multi-channel data model
Trivas: Built on a Redshift warehouse designed from the start to blend Amazon and Shopify data natively.
Triple Whale, Northbeam, Polar: Built Shopify-first, with Amazon added on as a secondary integration layered in later.
Amazon-specific cost depth
Trivas: Fee-level breakdowns (referral, FBA, storage) sit in the same dashboard as Shopify COGS and shipping.
Others: Amazon fee detail often requires a separate export or lives outside the main margin view.
AI insights layer
Trivas: Wingman automatically flags margin and ROAS anomalies as they happen.
Others: Dashboards present the data, but spotting the trend or the drop is still on you.
Forecasting
Trivas: Built-in AI-driven forecasting across both channels.
Others: Generally reporting-only, stopping at historical performance rather than projecting forward.
If you want the full breakdown with feature-by-feature and pricing detail, that's covered in the Triple Whale vs. Polar vs. Trivas comparison rather than repeating every line item here.
How Long Does It Take to Set Up Amazon and Shopify Reporting in Trivas?
This is usually the part people brace for and it's genuinely not the hard part.
Install the Trivas AI app on Shopify, connect your Amazon Seller Central credentials, and link your ad accounts (Meta, Google, Amazon Ads). Once those are connected, everything syncs automatically into the same warehouse. No manual mapping, no separate spreadsheet templates to fill in.
Realistically, dashboards populate within the first sync cycle. This isn't a multi-week implementation project with a dedicated onboarding call every other day. You connect accounts, data flows in, and you're looking at blended numbers.
The practical payoff: reporting that used to take three hours of manual export and reconciliation work drops to a single dashboard view. Not "faster," but functionally gone as a task on your weekly to-do list. For more on what the integration covers, the Shopify integration overview walks through the specifics.
What Metrics Should You Track Across Shopify and Amazon in One Dashboard?
A handful of numbers actually matter here, and most founders aren't checking all of them in one place:
Contribution margin per SKU, per channel. Not blended into one average. You need to see the same product's margin on Amazon and on Shopify side by side.
Blended ROAS/CAC across Amazon Ads, Meta, and Google. One efficiency number for total ad spend, not three separate ones you're eyeballing.
True net revenue after Amazon fees. Gross sales minus referral fees, FBA fees, and storage, not just the top-line number Seller Central shows you.
Inventory and sell-through by channel. So you know which storefront is actually moving product.
Blended CAC matters more than most people give it credit for. A SKU can look genuinely profitable on Shopify alone, then turn negative once you factor in Amazon's referral fee and FBA cost on the same product sold through that channel. Without a blended view, you'd never catch it.
Check these weekly, minimum. Amazon fee structures and ad costs shift faster than most founders have time to track by hand, and a monthly check-in means you're always a few weeks behind the actual problem.
Is Trivas Worth It If You're Doing Both Shopify and Amazon at Scale?
Worth it once you're managing real ad spend and SKU volume across both channels, and manual reconciliation is eating hours every week that could go toward actually running the business. That's the honest threshold.
If you're only selling on one channel, single-channel Shopify or Amazon-only, this isn't necessary. The entire value of Trivas is in the blended view. If there's nothing to blend, you're paying for a capability you won't use.
See Your Shopify and Amazon Numbers in One Dashboard
If you're still exporting Seller Central reports into a spreadsheet every Monday, start a trial and connect both channels to see blended margin data on day one.
The core takeaway here doesn't change no matter how you slice it: the best analytics tool for a Shopify brand selling on Amazon is whichever one treats both channels as one data set, not two separate reports you're stitching together by hand.
And if your setup goes beyond just Shopify and Amazon, Walmart, TikTok Shop, or other channels in the mix, it's worth a conversation rather than guessing whether the standard setup covers you. Talk to a founder about the more complex version of this problem. Or if you'd rather browse first, subscribe to our resources for more breakdowns like this one.
Revenue growth leader and co-founder driving Trivas's commercial strategy. Om has led the product vision and execution from scratch. With a strong background in SaaS sales and GTM strategy, Om bridges product innovation with real-world customer needs.
Continue Reading
explore more insights
Why Does My Meta ROAS Not Match My Shopify Revenue?
3 min read
G2 Reviews of Ecommerce Analytics Software: 5 Patterns
3 min read
What Are the Best AI Tools for Shopify Growth Teams in 2025?
.d53b12e5.png&w=3840&q=75 "Trivas.ai")
by Om Rathod
