by Om RathodIf you're running a Shopify DTC store and also selling on Walmart Marketplace, you already know the drill. Two logins. Two reporting formats. Two definitions of what counts as a "sale." No single view that tells you what your business actually made last month.
Trivas fixes that by pulling both channels into one Redshift-backed dashboard, updated automatically. Nobody on your team is pasting numbers into a spreadsheet every Friday.
This is written for brands doing real volume on both channels, not just testing Walmart with a handful of SKUs. If you need one source of truth for revenue, fees, and ad spend across Shopify and Walmart, this is what ecommerce analytics for a brand selling Shopify and Walmart should actually look like.
Below: the specific reporting gaps this dual-channel setup creates, what a unified analytics stack looks like once it's built correctly, and how to get connected.
Walmart Seller Center and Shopify admin don't speak the same language. Walmart reports lean on gross merchandise value, Shopify reports on net sales after discounts and returns. Compare the two without adjusting for that difference and your numbers are wrong before you even open a spreadsheet. Walmart's reporting also tends to lag, so "today's numbers" in Seller Center often aren't today's numbers at all.
Then there's cost structure. Walmart referral fees, WFS (Walmart Fulfillment Services) costs, and co-op advertising spend live in one system. Shopify's payment processing fees, shipping costs, and COGS live in another. Almost nobody reconciles these into a single, comparable margin view. Which means most brands genuinely don't know which channel is more profitable per order.
Marketing makes this worse. Meta and Google ad spend drives Shopify traffic. Walmart sales come from a mix of organic marketplace search and Walmart Connect ads. Blending these into one CAC number, or even knowing the CAC for each channel separately, requires pulling ad platform data against the right sales data, something most teams don't have wired up.
The real cost isn't just bad numbers. It's the time. Finance or ops ends up exporting CSVs from Shopify and Walmart Seller Center every month, then manually stitching them into an Excel summary just to answer "how did we do." Hours spent building a report that's stale the moment it's finished.
A proper setup starts with one dashboard: Shopify orders, Walmart Marketplace orders, and combined net revenue, side by side, refreshed daily through Redshift pipelines rather than a weekly manual pull.
From there, margin gets broken out by channel. Shopify's payment processing and shipping costs sit next to Walmart's referral fees and WFS fulfillment costs, normalized so you're comparing apples to apples instead of guessing which channel actually makes more money per unit.
On the marketing side, Meta, Google, and Walmart Connect ad spend get pulled in against each platform's actual sales, giving you both blended CAC/ROAS and channel-specific numbers. That's the difference between "our CAC went up" and "our CAC went up specifically because Walmart Connect got more expensive while Meta held steady."
On top of that, the AI Wingman layer watches for anomalies automatically: a Walmart buy box loss, a sudden drop in Shopify conversion rate, that kind of thing, and flags them as they happen instead of someone noticing three days later when the sales report looks off. That's the practical difference between reactive reporting and something closer to real monitoring.
Trivas pulls order, product, and customer data directly from your Shopify admin through a native integration. No manual export step, no CSV to babysit.
Setup happens through the Trivas AI listing on the Shopify App Store, and for standard store configurations it's live in minutes.
Once connected, Shopify data sits alongside GA4 funnel data and Meta/Google ad spend already in Trivas, giving you full-funnel attribution on the DTC side of the business. If you want the details on exactly what data gets pulled and how the connection works, the Shopify integration guide walks through it. For a broader look at what Trivas does specifically for Shopify sellers, see the Shopify solutions page.
Walmart order, fee, and inventory data get pulled into the same reporting layer used for Shopify, so both channels show up on the same timeline instead of living in separate tools with separate calendars.
This surfaces the line items that usually get buried inside Seller Center reports: referral fees, WFS costs, and returns, broken out clearly instead of bundled into a single opaque deduction.
That visibility matters most for two things: staying on top of buy box competitiveness and tracking Walmart Connect ad spend without switching between tools to do it. The Walmart solutions page covers the specific data points pulled in and how they map against Shopify metrics.
Worth noting: this same approach works if you expand beyond Walmart later. Amazon, Target, eBay, and other marketplaces plug into the same reporting layer, so adding a third or fourth channel doesn't mean starting the reconciliation problem over from scratch.
The most common workaround is a Shopify-only analytics tool, built for DTC brands, with no Walmart connector at all. That forces you right back into manual exports for the marketplace side, which defeats the purpose of paying for analytics software in the first place.
The other common route is a generic BI tool. These can technically handle any data source, but only if your team builds and maintains the Walmart pipeline itself, including normalizing fee structures and reconciling metric definitions between platforms. That's a real engineering lift, not a weekend project.
Trivas is built specifically for brands running Shopify plus marketplaces like Walmart. Integrations, fee normalization, and combined reporting are pre-built, turning what used to be hours of manual report assembly into a few minutes of checking a dashboard. Honestly, the fee normalization piece is the part most competing tools skip entirely, and it's the one that actually matters when you're comparing channel profitability.
[VERIFY]: If comparing directly against named competitors' Walmart-specific capabilities, confirm current feature parity before publishing, since marketplace integrations change frequently across tools.
Setup follows a straightforward sequence. Connect Shopify through the app store listing, connect your Walmart Marketplace credentials, and dashboards populate shortly after both are authorized.
For teams that would rather not figure this out solo, Trivas offers guided onboarding and training rather than pure self-serve setup. Details on what that support looks like are on the onboarding and training page.
A common question up front: what about historical data. Both Shopify and Walmart connections support backfilling historical data on setup, so your first dashboard view isn't just "starting from today."
In the first week with both channels live, expect to see combined revenue trends, channel-level margin breakdowns, and ad spend data reconciled against actual sales. Enough to start spotting where the two channels genuinely differ instead of guessing.
Start a trial, connect both channels, and see what combined reporting actually looks like before committing to anything.
The core of it: stop reconciling Shopify and Walmart by hand every month. Get one dashboard that does it for you instead.
If you'd rather talk through your specific setup first, especially if you're running additional marketplaces or a more complex fee structure, talk to a founder directly.
Brands running both channels typically cut monthly reporting time from several hours down to under 30 minutes once Shopify and Walmart are both connected.
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