First-party data tracking and attribution for ecommerce brands

You’ll know exactly which ads are driving your orders. We set up first-party data tracking and attribution, with a live dashboard checked against your Shopify sales, and then run your ads off it every day.

Who is this for?

Ecommerce brands, usually on Shopify, running paid ads on Meta, Google or TikTok, where any of this sounds familiar:

• Ads Manager and Shopify tell two different stories, and you don’t know which to believe.
• Results swing, and nobody can say whether the ads got worse or the tracking did.
• Customers already on your email list come back and get treated like strangers.

We set up the full first-party infrastructure, with server-side tracking, for every brand we work with.

Why does tracking need fixing before you scale?

Every ad platform puts its own pixel in your customer’s browser, and the browser no longer trusts them. iOS privacy settings block them, ad blockers kill them and Safari wipes their cookies. Often 20 to 30% of your conversions never make it back to the platforms, and every sale Meta doesn’t see is a sale it can’t learn from.

We’ve written the whole problem up in why ad platforms miss your sales, and how first-party tracking fixes it. This page is about what we set up and what you get from it.

What do we set up?

1. One first-party tracking setup. It runs on a subdomain of your website, something like track.yourbrand.com, replaces the separate platform pixels, collects the data once and sends it to Meta, Google, TikTok and Klaviyo.
2. Server-side events. Your server sends each sale straight to the platforms, so they go from seeing maybe 70% of your sales to close to all of them.
3. A customer record tied to your own domain. Who’s who is kept server-side instead of in a browser cookie, so returning customers get recognised, even on a different browser once they enter their email, and your abandoned cart and browse flows reach the right people.
4. Attribution across the full journey. First click, last click and the touches in between, across different time windows, split by new and returning customers, down to the actual Shopify orders behind a number.
5. A live dashboard and profit calculator. Spend, revenue and orders checked against your Shopify sales, with targets worked out from your margins.

The setup is fairly technical: records on your domain, and your store, ad accounts and email platform connected. We work directly with the tracking platforms and have agency deals with them.

How do we use the data to run your ads?

We read performance in three layers, because each one answers a different question:

Layer	What it tells us
The ad platform’s own reporting	What the algorithm is learning from. An optimisation signal, not a verdict.
Shopify last-click UTMs	Which campaign closed each sale.
First-party attribution	The full journey, including the ads that brought people in.

How do we read the customer journey?

Most customers click more than one ad before they buy, often across several days and more than one channel. We match each order back to every paid click that led to it: the first click that brought them in, the last one before they bought, and the ones in between. The same customer is recognised across browsers and devices once they log in or enter their email, and we pick up orders the platforms miss, like a purchase made after tapping an ad inside the Instagram app.

That’s how we tell an ad that opens (brings new people in, converts later through another ad) from one that closes. Cut an opener because it looks weak on last click, and you’ve switched off the tap that fills the funnel.

Every campaign is measured on profit, against your real margins rather than the platform’s own ROAS. We also check what each platform claims against your actual revenue, platform by platform, so when results drop we can tell whether the business fell or the tracking did. Each week you see what changed, why, and what it did to the results.

What results have brands seen?

First-party data and attribution sit underneath the work on these accounts, alongside the ads, creative and testing:

• EHPlabs: first-party data infrastructure across all 4 online stores, with server-side tracking and attribution. Monthly Meta spend grew 28x.
• Slickhair: first-party data infrastructure with server-side tracking and attribution. Revenue +92% and return on ad spend +38%, year on year.
• Bunjie: set up in 2023, the year online revenue reached 2.5x the year before. 5x annual online revenue growth.
• IMBER: first-party data tracking and attribution with a live dashboard and profit calculator from the start. 4x revenue growth.

How is working with Nuver different?

We don’t install tracking and walk away. We run your ads off it every day, so the data drives real budget and creative decisions. More of your sales data goes back to Meta, Google, TikTok and Klaviyo, and the data stays yours.

Tracking is the foundation, not the whole game. It pays off when it feeds well-run Meta ads and Google ads, and when you can test landing pages and see which one actually wins.