The analytics questions that involve money
Most analytics writing stops at traffic. These pages pick up where that leaves off — how to measure what a visitor is actually worth, which channel earned the sale, and what a customer pays you over their whole life. Each one answers a single question, and each is tool-agnostic enough to be useful before you pick one.
How to track revenue per visitor
Revenue per visitor turns traffic into money per head, so a small high-intent channel can out-rank a big one. How to calculate it, why the site-wide number misleads, and how to track it per source.
How to attribute revenue to marketing channels
Traffic reports rank channels by visitors, which is the wrong ranking. How to credit each payment back to the channel that earned it, and why the answer changes once you do.
How to measure paying conversion rate
Paying conversion is the share of visitors who become paying customers — not sign-ups, not trials. How to measure it, how it differs from a goal conversion rate, and how to read it per source.
How to track customer lifetime value
Lifetime value is what a customer has paid you in total, across every device and every purchase. How to track it without a data warehouse, and how to trace it back to the channel that acquired them.
First-touch vs last-touch attribution
The two models answer different questions and disagree most on exactly the channels you are deciding about. What each one credits, when each is right, and why picking one and freezing it beats switching.
How to track Stripe revenue in your analytics
Stripe knows what was paid; your analytics knows who visited. How to join them so each charge lands next to the campaign, landing page and source that produced it — including refunds.
Already installed Statlark? The docs cover how to make it do each of these. Reading with an agent? There’s an llms.txt index of every page here.
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