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February 23, 20265 min read

How Self Analytics Works

Self Analytics shows more than visits. It helps you understand whether recruiters are actually reading your CV, with scroll depth as one of the most useful signals.

Analytics dashboard mockup with growth arrows, charts, and engagement metrics around a resume page.

Self Analytics is built to answer a simple question: is your page only attracting clicks, or is it actually holding a recruiter's attention?

At a glance, the dashboard brings together five core signals: total views, unique viewers, sessions, average time on page, and average scroll depth. Together, they show both reach and engagement quality.

You also get the context behind the numbers. The traffic chart shows changes over time, while breakdowns by source, device, and country help you see which channels are bringing the right audience.

Scroll depth is especially valuable for a CV page. Your page tells a story, and if people stop early, they may never reach the projects, achievements, or final call to action that make the strongest impression.

That is why Self gives scroll depth special visibility through a dedicated funnel and drop-off analysis across stages (25%, 50%, 75%, and 100%). Few CV builders surface this as clearly, and it gives you direct evidence of how far recruiters are getting.

When you notice a big drop-off, you can improve the page with purpose: tighten the opening summary, shorten dense sections, strengthen headings, and move your strongest proof earlier. Small structural changes can make a meaningful difference.

The goal is straightforward: replace guesswork with learning. With clear analytics, your CV page becomes something you can refine over time based on real behavior.

Self | How Self Analytics Works