George Chrysochou

Conversion tracking and attribution

Short answer

Source-segmented, cookieless, server-side conversion tracking across organic, paid, referral and AI-search traffic, with the data connected into Google Analytics 4 and Looker Studio, so you see what each channel, the AI assistants included, brings in. More than ten years of hands-on tracking work.

What the work covers

Tracking that runs on your server rather than in the visitor’s browser, so it keeps working as browsers restrict cookies. Traffic segmented by source, with AI-assistant referrals separated from search, paid and referral. Conversions and revenue attached to each source. The data connected into Google Analytics 4 and Looker Studio dashboards your team already reads. Where tracking exists already, I audit and repair it before anything is added.

How it is measured

Sessions, leads, sales and revenue by source, with AI-search traffic as its own line; assisted conversions where an AI answer was one step among several; and the spend efficiency of each channel once the attribution is clean.

Questions

Questions I get asked

Why server-side?

Because browser-side tracking loses visitors as cookies are blocked and sessions are shortened, and the gap grows every year. Server-side, cookieless tracking records the visit and the conversion on your side, segmented by source, so the numbers stay comparable over time.

Can you separate AI assistant traffic?

Yes. Referrals from ChatGPT, Perplexity, Gemini and Copilot are segmented as their own sources, so their sessions, leads and revenue sit next to search, paid and referral in the same report.

Does this replace Google Analytics?

It feeds it. The tracking connects into Google Analytics 4 and Looker Studio, so your team keeps the tools it knows and gets cleaner data in them.

Start with a conversation

Send me your domain and the questions your buyers ask before they buy. I will look at how your brand appears in AI answers today and tell you whether a program is worth running.

Message me on LinkedIn What to include in a first message