Most creators check their link in bio analytics once, see a number, feel briefly good or bad about it, and never return. That is a reasonable response to most analytics dashboards, which are built to display data rather than to answer questions.
The useful framing is narrower: a metric is only worth watching if a change in it would change what you do next. By that test, most of what gets reported is noise, and a few numbers matter a great deal.
The one number that matters most
Per-link click counts. Not page views — per-link clicks.
Page views tell you how many people arrived. Per-link clicks tell you what they wanted once they got there, which is the only question your page can actually answer. If your store link is getting steady clicks and your newsletter signup is getting almost none, that is a decision about ordering and labelling waiting to be made.
It is also the number most often misread. A link near the bottom of a long page getting few clicks has not been rejected by your audience — most of them never scrolled to it. Position confounds interest, and you cannot separate the two without moving the link and looking again.
Click-through rate, and why it looks alarming
Your click-through rate is clicks divided by page views. It answers a specific question: of the people who landed here, how many did anything?
Two warnings, because this number surprises people.
It will look low. Bio pages absorb a lot of incidental traffic — people checking who you are, bots, previews generated when your link is shared. A rate in the single digits is normal, not a failure.
Compare it only to itself. Benchmarks from other sites are close to meaningless here, because they depend on audience size, platform mix and how much bot traffic a page attracts. What matters is the direction after you change something.
Reading device and referrer data
Device split is worth checking exactly once, and then only after something changes. Bio page traffic is overwhelmingly mobile, because it arrives from apps. The reason to look is to confirm nothing is broken for the minority on desktop.
Referrer data is more interesting, and more frequently misinterpreted. It tells you which platform sent someone — but in-app browsers often strip that information, so a large “Direct” bucket is normal rather than mysterious.
The useful reading is comparative. If one platform sends a large share of your visits, that is where your effort is currently paying. If a platform where you post constantly sends almost nothing, the problem is usually the call to action rather than the audience.
Time-of-day patterns
Genuinely useful, with one caveat that trips people up: the pattern reflects when you post, not when your audience is available. If you always publish in the evening, your traffic will peak in the evening, and the chart will confirm a decision you already made rather than revealing anything.
To learn something, you have to vary the input. Post at a different time for a fortnight and compare.
Turning numbers into changes
Four changes are worth making, in this order.
Move your best link to the top. The simplest and most reliable improvement available. Attention falls off sharply down the page.
Rewrite labels before deleting links. A link that is not getting clicks may be badly named rather than unwanted. “Watch the new video” tells someone what happens next; “YouTube” tells them a destination. Change the label, wait a fortnight, then decide.
Cut ruthlessly. A page of five links where each one earns its place outperforms fifteen where four do the work. Every link you add makes the others slightly harder to see.
Change one thing at a time. If you reorder the page, rewrite three labels and remove two links in one sitting, you will not know which change moved the number. This is the discipline most people skip, and it is the reason their analytics never teach them anything.
What to ignore
Day-to-day variation. A quiet Tuesday is not a trend. Look at a fortnight against the previous fortnight, never yesterday against today.
Totals that only go up. Lifetime view counts feel good and inform nothing. Rates and comparisons carry the information.
Any number you would not act on. If you cannot name the change you would make in response to a metric moving, you do not need to be looking at it.
What Olio shows you
The free plan shows per-link click counts and total page views — the two numbers most decisions actually come down to.
Premium adds device breakdown, referrer sources, hourly patterns, a traffic chart over time, and per-link performance ranking, with a date range so you can compare periods rather than staring at a lifetime total.
Start free and check back in a fortnight, not tomorrow.