The analytics terms that matter
Clear, no-jargon definitions of the metrics and concepts behind privacy-first analytics and revenue attribution.
Bounce rate is the percentage of sessions where a visitor lands on a page and leaves without triggering any further interaction: no click, no scroll event (depending on your tool), no second page. A high number is not inherently bad; it depends entirely on what the page is supposed to do.
A conversion funnel is the ordered sequence of steps a visitor must complete to reach a goal: signing up, purchasing, or upgrading. Most drop-off happens silently at one specific step, and finding that step is the entire job of the analysis. Fix that one step and revenue goes up without acquiring a single new visitor.
Cookieless analytics measures traffic and user behavior without storing persistent identifiers (cookies) in the visitor's browser. Instead of assigning each visitor a cookie ID, it relies on aggregated fingerprints, server-side signals, or privacy-preserving hashing to count sessions, sources, and conversions, without requiring a consent banner in most jurisdictions.
A first-party cookie is a small text file that your own website sets on a visitor's browser, not a third party like an ad network. Because it comes from the domain the user is visiting, browsers treat it as legitimate, and it survives the privacy restrictions that killed third-party tracking. In analytics, it is how you recognize returning visitors and measure attribution.
GDPR-compliant analytics means collecting website data in a way that does not process personal data without a lawful basis, most commonly by avoiding persistent identifiers, cross-site tracking, and third-party cookies that require user consent. Done right, you can still understand traffic, conversions, and revenue without a consent banner or a legal team.
A website heatmap is a visual overlay on your actual web page that aggregates visitor behavior (clicks, scroll depth, mouse movement) into color-coded zones, where hot colors (red, orange) show high activity and cool colors (blue, green) show low activity. It turns anonymous traffic into a spatial picture of what people actually do on a page, not just whether they converted.
Marketing attribution is the practice of assigning credit for a conversion (a sale, signup, or lead) to the specific marketing touchpoints that influenced it. Get it right and you stop guessing which spend earns its keep; get it wrong and you fund the wrong channels while the real winners starve.
Revenue attribution is the practice of crediting a specific marketing source, channel, or touchpoint with the revenue it generated, not just the clicks or signups. It answers the one question pageviews and conversion rates cannot: which traffic actually makes money?
A visitor (also called a unique visitor or user) is a person who comes to your site. A session is a single continuous visit; one person can create multiple sessions. If 100 people each visit your site twice in a month, you have 100 visitors and 200 sessions. Neither number alone tells you much; the ratio between them tells you a lot.
UTM parameters are short tags you append to a URL that tell your analytics tool exactly where a visitor came from and which campaign sent them. Without them, traffic from your email, ads, and social posts collapses into one undifferentiated blob, and you have no idea what is actually working.
llms.txt is a proposed convention: a Markdown file at yoursite.com/llms.txt that lists your key pages so a language model can read a clean version of your site instead of crawling everything. Jeremy Howard proposed it in September 2024. It is real and documented, but as of 2026 no major AI crawler has committed to reading it, and Google says its Search systems do not.