by Trivas.aiDELIVER Amsterdam 2025 pulls in the usual crowd: DTC founders looking for their next channel, growth leads trying to justify Q4 budget, agencies running client stacks across Shopify and Amazon. Different goals, same recurring gripe in every hallway conversation. Data lives in five places and none of them agree with each other.
Walk any aisle and you'll hear it. Shopify says one revenue number, the ad platforms report their own inflated ROAS, GA4 shows a session count nobody trusts. Ecommerce analytics DELIVER Amsterdam 2025 sessions keep circling back to this same fragmentation problem because it hasn't actually gotten solved industry-wide, it's just gotten more annoying as brands add channels.
This page is meant as a pre-conference resource: something to read on the train in before you start booking meetings, so you know which vendor conversations are worth your 20 minutes on the floor. Trivas will be at DELIVER this year, and the rest of this piece covers what we think you should be asking any analytics vendor you talk to, us included.
Here's the setup most people walk into DELIVER with, whether they say it out loud or not. A spreadsheet stitched together from weekly Shopify exports. Native dashboards in Meta and Google Ads that each claim credit for the same sale. A GA4 property that technically works but that nobody on the team fully believes anymore.
That setup costs real time. Teams we talk to are spending 3+ hours a week just reconciling numbers across platforms before they can even start making a decision. That's before anyone's actually analyzed anything, it's just the tax of getting the numbers to agree. The result is slow calls on ad spend, and a blended ROAS figure that's really more of an educated guess than a metric.
It gets worse once a brand scales past a single channel. Add Amazon, add retail media, and now you need a blended P&L that spans platforms with completely different reporting logic. Most teams end up paying an engineer or an agency to build that view manually, and it breaks the next time a platform changes its API.
None of this is a case for buying one more tool to stack on top of the pile. It's a case for figuring out, before you sign anything else, what actually closes this gap versus what just adds another login. That's what the next section is for.
Before you commit to a demo slot, decide what you're actually testing for. A few questions worth asking every vendor booth you visit.
Data infrastructure. Ask if the platform runs on a real, queryable data warehouse, Redshift, BigQuery, Snowflake, or if it's a proprietary black box you can't get into. This matters more than it sounds like it should. If your data lives somewhere you can't query directly, you're stuck waiting on the vendor's roadmap every time you need something custom.
Attribution transparency. Don't accept "we do blended ROAS" as an answer. Ask the vendor to show you, on screen, how they reconcile platform-reported ROAS against a true blended number. If they can't walk you through the math, that's the answer.
Time to value. Ask for a real onboarding timeline, in days not weeks, and whether it needs a developer or an engineering ticket to get running. A lot of tools quote "easy setup" and then need three weeks of back and forth with your dev team before a single dashboard loads.
The AI layer. Separate genuine forecasting and insight generation from a chatbot bolted onto a static dashboard. Ask what the AI actually does when you ask it a specific question, not what it's marketed to do.
Support model. Dedicated account access versus a generic ticket queue, especially heading into Q4 when a slow support reply can cost you a day of ad spend decisions.
Trivas is built around performance dashboards for Amazon, Shopify, Meta and Google ads, and GA4 funnels, all sitting on top of Amazon Redshift. That's a real warehouse, not a walled-off proprietary store, which means your data is queryable and portable rather than locked to our UI.
On top of that sits Wingman, our AI layer. Instead of pulling a pivot table every time someone on your team asks "what did Meta actually contribute last week," Wingman surfaces that answer directly, and it handles ad hoc questions without someone manually rebuilding a report. We also run AI-driven forecasting, useful for planning ad spend and inventory ahead of a peak season instead of reacting to it after the fact.
Matched against the criteria from the last section: warehouse-backed infrastructure, attribution you can actually see the math on, onboarding measured in days for standard setups, an AI layer that does forecasting and insight work rather than just chat, and account access instead of a ticket queue. If you want the deeper mechanics of how the dashboards get built, our BI reporting product page covers that in more detail.
If you're going to be at DELIVER, come find the Trivas booth. We'll be running live dashboard walkthroughs, and if you bring export access to your own store data, we'll build the view using your actual numbers instead of a canned demo.
Booth lines at events like this eat your afternoon. Book a 15 minute slot ahead of time through our founder conversation page and skip the wait.
If you're a Shopify-first brand, this is a good chance to see the app running before you commit to installing anything.
The realistic timeline, for a typical Shopify plus one ad platform setup, looks like this: initial demo, data source connection same week, dashboards live within days once Shopify and your ad account are connected. No months-long implementation project, no dev sprint required for the standard setup.
Shopify stores don't even need to wait for a custom onboarding call to get started. You can go straight to Trivas AI on the Shopify App Store and install it directly, then layer on the rest of the Shopify integration setup from there.
The objection we hear most at events like this: "we already run Triple Whale, Northbeam, or Polar, why switch mid-year." Fair question, and not one to answer in a booth conversation with a slide deck. If you're actually weighing that decision, our comparison of Triple Whale, Polar, and Trivas breaks down the real differences rather than asking you to take our word for it.
Don't leave this for a follow-up email that gets buried the week after the show. If you're already going to be in the building, book the founder conversation now.
The one thing worth walking away from DELIVER with: a straight answer on whether your current stack can show you blended ROAS in under a minute. If it can't, that's worth fixing before Q4, not during it.
Book a slot on our talk-to-a-founder page, or if you're not ready for a call yet, keep an eye on our blog and insights hub for more on what's actually worth asking vendors this year.
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