The Full Trivas.ai Integrations List: Every Platform You Can Connect
by Trivas.ai
|
6 min read
Sep 25, 2026
What Trivas.ai Connects To (Quick Overview)
This page is the full, categorized rundown of every integration Trivas.ai supports. If you're checking before signing up, or you're already onboarded and want to confirm a specific tool is covered, this is the list.
Every connected platform feeds into the same Redshift-backed warehouse. That's the part people miss when comparing tools on a features page. It's not just that Trivas "connects to" Amazon and Shopify and Meta, it's that once connected, all of it lands in one place. No jumping between marketplace tabs and ad platform tabs to reconcile a number. One dashboard, one source of truth.
People generally land on the Trivas.ai integrations list for one of two reasons. Either they're evaluating Trivas against Triple Whale, Northbeam, or Polar and want to know if their stack is supported before they commit to a trial, or they're an existing customer trying to figure out if a newer tool in their stack, say a regional marketplace or a fulfillment platform, is on the list yet. Both groups get the same answer below.
Ecommerce Platforms and Marketplaces
Start with the storefronts: Shopify and WooCommerce are both fully supported, pulling orders, SKU-level revenue, and inventory status directly into your dashboards.
Then the marketplaces. Trivas connects to Amazon, Walmart, Target, Best Buy, eBay, Etsy, Rakuten, and Home Depot. For each of these, the integration pulls in order data, SKU-level revenue, marketplace fees, and inventory status, plus ad spend where the platform has its own ad product (Amazon and Walmart both qualify here).
Amazon gets more attention than the rest, and for good reason. Trivas has an Amazon-specific solution built around deeper reconciliation: matching payouts against orders, tracking fees at the SKU level, and catching discrepancies that are easy to miss when you're pulling reports manually from Seller Central. If Amazon is your primary channel, this is also reflected in Amazon-specific pricing, separate from the standard plans, because the depth of reconciliation work involved is genuinely different from a standard marketplace connection.
Shopify sellers get their own dedicated integration path too, with setup details covered in the Shopify integration guide. If you run your store on Shopify and want to connect Trivas directly from your admin, the Trivas AI app on the Shopify App Store is the fastest route in.
International and Regional Marketplaces
If you're selling into Europe, the marketplace list gets more specific: Zalando, Allegro, Cdiscount, ManoMano, ePrice, Otto, and Kaufland are all connected integrations.
This matters more than it sounds like on paper. Brands expanding into the EU usually end up with revenue scattered across four or five regional marketplaces, each reporting in a different currency, on a different timezone, with its own fee structure. Reconciling that by hand every week is a real time sink. Connecting all of it into Trivas means those numbers show up next to your Shopify and Amazon data, already normalized, without someone manually converting currencies in a spreadsheet.
This list keeps growing. If you're selling on a regional marketplace that isn't listed yet, the integration request process is how that gets flagged for the roadmap.
Advertising and Marketing Channels
Ad spend and marketing data connect on their own track. Trivas integrates with Meta, Google Ads, Amazon Ads, TikTok, and Reddit Ads, covering the ad platforms most DTC and marketplace brands are actually spending on.
GA4 rounds out the picture on the analytics side, adding session-to-purchase attribution that sits alongside ad spend data, so you can see not just what you spent but how that spend actually moved someone through the funnel.
On email and CRM, Mailchimp and Klaviyo both connect, pulling campaign revenue and list performance and tying it back to actual orders. That's the piece a lot of teams still track separately from paid media, which doesn't make much sense given how much revenue flows through email for most ecommerce brands.
The practical payoff of all this: blended ROAS and CAC across every channel in one dashboard. Instead of exporting Meta's numbers, exporting Google's numbers, exporting Klaviyo's numbers, and building a spreadsheet to make them talk to each other, it's already unified. That's the actual point of the data integrations setup, not the individual connections themselves.
Operations, Payments, and Fulfillment Tools
Marketing data gets most of the attention, but the ops side of the Trivas.ai integrations list matters just as much for anyone reconciling margins, not just tracking ROAS.
Stripe connects for payout reconciliation, matching what actually hit your bank account against the orders that generated it. ShipStation and Easyship cover fulfillment, bringing in shipping costs and delivery data so you can see true margin per order, not just revenue minus COGS. Akeneo connects on the product information side, keeping product data consistent across every catalog you sell into.
This group of integrations tends to matter most to operations managers, not performance marketers. A marketer wants to know what a channel returned. An ops lead wants to know what actually landed after fees, shipping, and payment processing ate into it. Both views live in the same Trivas dashboard, but they're solving different problems.
How Trivas Integrations Actually Work
Setup is meant to be fast, not a multi-week onboarding project. Most connections happen through OAuth or an API key, depending on the platform, and the initial sync usually populates your first dashboards within a day.
Order volume, revenue by channel, and ad spend are typically the first things to show up, since those are the highest-priority metrics for most teams checking in during week one. Deeper reconciliation views, like Amazon payout matching or blended CAC across channels, fill in as more historical data syncs.
For teams that want more than the standard dashboards, there's API and developer support for custom data pulls or building your own tools on top of the Trivas warehouse. If you're doing your own QA on the data or need field-level definitions for how a metric is calculated, the developer docs and the data integration resources cover the technical specifics.
Don't See Your Platform Listed?
The list above isn't static. It's actively maintained and grows based on what customers actually ask for, not a fixed roadmap set a year in advance.
If there's a marketplace, ad platform, or ops tool you rely on that isn't here yet, the integration request page is where to flag it. Worth being upfront about expectations: submitting a request isn't a guarantee it gets built. But it does directly inform what gets prioritized next, and a lot of the regional marketplaces on this list started exactly this way.
Get Every Channel in One Dashboard
The point was never the length of the list. It's what happens once everything on it is actually connected: marketplaces, ad platforms, and ops tools all reporting into one place instead of a dozen open tabs and a spreadsheet trying to hold it all together.
If you want to see how your specific stack looks once it's connected, starting a trial takes minutes, not a sales call. And if you're not sure which integrations you actually need versus which ones just sound useful, talking to a founder directly is a faster way to figure that out than guessing from a features page.
Content author and contributor at Trivas.ai, sharing insights on e-commerce analytics, business intelligence, and data-driven strategies to help businesses grow.
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