by Trivas.aiRun a Shopify store across Mexico, Brazil, and Colombia, and you hit a wall fast. Most Shopify analytics for a Latin American ecommerce brand still defaults to USD, which means someone on your team is manually converting BRL, MXN, ARS, and COP into a single number every week and hoping the FX rate they used still makes sense by the time the report gets read.
It gets messier at the payment layer. Mercado Pago, Pix, and OXXO transactions don't map cleanly into standard Shopify order data. Installments, delayed settlement, different fee structures per gateway: none of that shows up the way a Stripe or Shopify Payments transaction does. So attribution breaks. You can see the order came in, but tying it back to the campaign that drove it gets fuzzy.
The workaround most LATAM ops teams land on is a spreadsheet. Export Shopify orders, export Meta and Google ad spend, drop them into a shared sheet, manually reconcile currencies and fees, repeat next Monday. It works, technically. But it costs hours every week, and by the time the numbers are clean, they're already a week old. You're making Tuesday's budget decisions on data from the Tuesday before.
Unifying this data isn't just "convert everything to USD and move on." A LATAM brand needs a few specific things sitting in one place: gross sales broken out by currency, net margin after local payment processing fees (which vary a lot between Mercado Pago and Pix), and ad spend viewed both in local currency and in the USD your Meta or Google account probably bills in.
Argentina makes the FX problem worse than most. With inflation running the way it does, a monthly average exchange rate is basically fiction. You need daily, near-real-time conversion, or your margin numbers are wrong before the month even ends.
Then there's tax. IVA in Mexico and Argentina, ICMS in Brazil, each with different rates and rules depending on the product category and state. Most teams keep this in a separate finance system, disconnected from the revenue dashboard. That's backwards. Tax needs to sit next to revenue, not off in a spreadsheet somebody checks once a quarter, because it directly changes what "profitable" actually means for a given SKU.
Last piece: GA4 funnel data and ad spend need to join at the SKU or campaign level, not just at the account level. Otherwise "ROAS" is a national average that hides the fact that your Mexico campaigns are printing money while your Colombia campaigns are barely breaking even. Real regional ROAS only shows up when GA4 funnel data and Meta ad performance get joined at that granular level, country by country.
Trivas runs this on a Redshift-based data warehouse that pulls in Shopify orders, GA4 funnels, and Meta/Google ad spend into one schema, regardless of what currency the store is set to. A Brazil store in BRL and a Mexico store in MXN land in the same structure, which is what makes side-by-side comparison possible in the first place.
The AI Wingman layer sits on top and does the part humans usually miss under deadline pressure: it flags when a ROAS drop is actually a currency swing, not a real performance problem. That distinction matters. Pulling budget from a campaign because the peso moved 4% overnight is a bad decision made with good intentions.
Forecasting works the same way. The AI-driven forecasting models account for currency volatility when projecting next quarter's revenue, instead of assuming FX rates hold steady, which they never do in this region for more than a few weeks at a time.
And because everything lives in one schema, dashboards filter by country or currency on demand. Want to see Mexico against Brazil against Colombia in the same view? That's a filter, not a new spreadsheet.
Setup is a straight line, not a project. Install from the Shopify App Store, authorize store access, connect your ad accounts and GA4. That's it.
Most stores have a first dashboard live the same day. Full historical backfill, meaning your past orders and ad spend get pulled in and reconciled, typically finishes within 24 to 48 hours.
For teams running day to day in Spanish or Portuguese, support is available in both, which matters more than it sounds like when you're troubleshooting a data mismatch and don't want to translate technical terms back and forth mid-conversation.
If your team wants the technical detail before committing to anything, the Shopify integration guide covers the connection flow in full, and the Shopify solutions page breaks down what's supported out of the box. You can also find the app directly on the Trivas AI on the Shopify App Store listing.
Multi-currency handling
Local payment gateway coverage
Pricing structure
What to ask any vendor before signing
The core of this is simple: one dashboard, every currency, real margin after local processing fees actually accounted for. Not a spreadsheet stitched together on Friday afternoon.
If you want to see it running against your own store, start a trial and connect a live Shopify account. Setup takes a day, not a quarter.
Running multiple LATAM storefronts, or need custom currency and tax mapping beyond the standard setup? Talk to a founder directly, and if you just want to keep learning before you commit to anything, our resources are worth a look before your next reporting cycle.
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