Implemented a complete Meta Pixel + Conversion API tracking system for a Shopify ecommerce store to improve attribution accuracy, event tracking reliability, and campaign optimization.
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The client now has a more accurate and scalable tracking infrastructure that supports better campaign optimization, audience building, and ROAS measurement across Meta Ads.
Your next Shopify storefront could start here. ๐
Iโve released a 100% open-source Next.js + Shopify template with a retro look and the essentials to start building: product collections, variant selection, a shopping cart, and responsive layouts.
Run it with the included demo catalog, make it your own, then connect your Shopify store for live commerce.
Built with Next.js, React, TypeScript, and Tailwind CSS. Free under the MIT license and ready to download and customize.
What makes an A/B test readout useful to a product team?
My preferred first page answers four questions:
What changed, and by how much?
How uncertain is the estimate?
Did an important guardrail get worse?
What decision does the evidence support, and what remains unresolved?
A result can be statistically significant and still too small to matter. An inconclusive result can still leave a meaningful gain or loss plausible. The decision needs more than a green badge.
This is a strong framing of experiment readouts: separating signal, uncertainty, guardrails, and the actual decision keeps the team honest. The reminder that significance is not the same as usefulness is especially important.