Jonathan Cairo

Jonathan Cairo

LinkedIn Profile

Jonathan Cairo is a measurement engineer who works at the intersection of analytics, attribution, and signal infrastructure. His focus is how brands track users, credit marketing channels correctly, and keep their ad platforms fed with high-quality signal as privacy changes, device fragmentation, and AI-driven discovery keep breaking the conventional tracking stack.

About Jonathan Cairo

About Jonathan Cairo

Jonathan Cairo is a measurement engineer with a computer science background who has spent the last decade inside the attribution problem from multiple angles: as an operator running D2C e-commerce, as a solutions engineer implementing server-side tracking for brands at scale, and as a builder of new measurement capabilities where none existed before.

His work sits where analytics meets ad-platform signal quality. When a conversion happens off-site, across devices, or inside an AI chat interface, the standard tracking stack typically loses the thread. He builds the infrastructure that recovers it.

What I Work On

  • Attribution Infrastructure Tracking conversions accurately across D2C sites, marketplaces, and offline purchase channels, with a focus on moving signal server-side where it belongs.
  • Identity Resolution Stitching user sessions together across devices, browsers, in-app web views, and anonymous first touches, so the journey from discovery to conversion can actually be measured.
  • Ad Platform Signal Quality Improving Event Match Quality and parameter accuracy in Meta CAPI, Google Ads, and similar destinations. Not just volume but verified, actionable signal.
  • Offline Conversion Tracking Getting sales from Amazon, Target, retail, and other non-D2C channels into the ad platforms that drove them, closing the loop on purchases that legacy tracking treats as invisible.
  • AI Channel Measurement Understanding what ChatGPT, Gemini, Claude, and other LLMs do to a tracking pipeline, where signal breaks, what still works, and how to measure influence when the user never lands with a referrer.

Background

Computer Science at the University of Alberta. Built and exited two D2C e-commerce brands before moving into analytics engineering. Years deep in server-side tracking and solutions engineering across hundreds of brand implementations. Speaker, podcaster, and writer on conversion tracking, signal quality, and the hidden side of marketing analytics.

Articles by Jonathan Cairo

Technical insights on AI visibility, web crawling, and search optimization.

LLM Traffic Is a Blind Spot in Your Analytics. Here's Why.

Hands-on testing shows ChatGPT, Gemini, and Claude mobile apps break UTM and referrer tracking, hiding 2.5x to 5x your real LLM traffic from GA4 …