Tell what moved revenue
from what moved opinions.

Funnel events fired cleanly, consent handled properly, and the platform's numbers reconciled against Shopify's. So a change gets judged on what it did.

What gets measured
  • The funnel, view to purchase, fired once
  • Ad platform events matched to real orders
  • Consent handled before anything non-essential
  • Totals reconciled against Shopify
Reconciled withShopify's own numbers
CoversView through to purchase

Trusted by businesses of all sizes

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Two numbers, one problem

Most stores measure twice and trust neither

The ad platform reports one revenue number, Shopify reports another, and the gap gets explained by whoever's in the room. Meanwhile the events fire twice on some pages and not at all on mobile.

We fire each funnel event once, at the right moment, with consent handled first. Then we reconcile what the platforms claim against what Shopify recorded, and explain the gap instead of picking the flattering number.

Two numbers that disagree aren't two data points. They're one problem.

The instrumentation

What's in the setup

Four pieces. Together they're the difference between reporting and knowing.

The funnel, instrumented

Product view, add to cart, checkout start and purchase, each fired once, on mobile as well as desktop.

Ad platforms matched to orders

Platform events tied back to real Shopify orders, so attribution gets checked instead of accepted.

A monthly reconciliation

Platform totals against Shopify totals, gap explained, so a tracking break shows up in weeks.

Fixing the tracking

How tracking gets fixed

Audit what's firing

Every existing tag checked on real devices, which is where the duplicates and gaps turn up.

Rebuild the events

One clean implementation of the funnel, consent-gated, with nothing left over from a previous agency.

Reconcile and report

Platform numbers against Shopify each month, so decisions run on figures someone verified.

Platforms and privacy

Frequently asked questions

Which platforms, whether server-side is worth it, and how this differs from a dashboard.

Google, Meta, TikTok, Klaviyo and anything else with a standard tag or a server endpoint. Shopify's own analytics stays the reference the others are checked against.
Where it is worth the added complexity, yes. On most campaigns a well-built client-side setup with proper consent handling is enough, and we will say so rather than sell you the bigger version.
No. This is making the underlying numbers correct. A dashboard on top of unreliable events just distributes the error faster and to more people.

The rest of the build

Everything else in ecommerce stores

A build is rarely one of these on its own. Here is the rest of what ships alongside it.

Shopify theme development

Custom OS 2.0 themes and sections your team can rearrange and reorder without calling a developer.

View details

Custom and headless storefronts

Next.js storefronts on the Storefront API, for when a theme genuinely cannot do what the brand needs.

View details

Product page conversion

Imagery, variants, sizing, reviews and stock signals arranged to answer objections in the order they arise.

View details

Checkout and post-purchase

Fewer steps to pay, plus the upsell, thank-you and email touchpoints that lift average order value.

View details

Speed on real devices

Stores tuned for Core Web Vitals on the mid-range phones your customers are actually shopping on.

View details

Ecommerce stores

The whole offering, and how these pieces fit together.

View the service

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Founder

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