



Most marketing problems are data problems. The purchase event fires twice. Klaviyo doesn't know what a customer bought on subscription. Meta, Google and Shopify each report a different number for the same week. AI assistants describe your brand from a page you wrote three years ago. We fix the plumbing: tracking, data flow, feeds, lifecycle triggers, and how search and AI engines read you. Your team and partners keep running the campaigns. The numbers they act on are finally right.
Clean data first, then everything that runs on it. Each step depends on the one before.
We trace a customer from the first click to the order, the email and back to the ad platform. You get a map of what fires, what's missing, what's counted twice, and what each tool thinks a customer is.
Tracking, consent and conversion APIs come first. Every report and every bid depends on them, so nothing else gets built on bad data.
Customer and order data flows to Klaviyo, the ad platforms, your feeds and your reporting. Flows trigger on real events. Feeds carry the same titles, prices and stock as your store.
Platforms change their rules every quarter. We watch tracking health, feed errors and how AI engines describe you, and we fix drift before it costs you a month of data.


Most stores we look at have the same handful of problems. None of them show up in a dashboard. All of them change what the dashboard says.
Aperchur is our own build. It connects Shopify, the ad platforms, Klaviyo, subscriptions, shipping and the P&L into one view of true margin and a plan for this week. We built it for a client whose numbers never agreed. The tracking work on this page is what it runs on.
In private beta with Shopify brands doing $1M to $50M.