A link in bio with analytics you can actually act on

The seven numbers, and what each one is for

Visitors tells you how many people reached the page at all. Compared against your posting activity, it separates a reach problem from a page problem.

Clicks per button is the one you will use most. It ranks your buttons against each other, which is the only ranking that matters when you are deciding what sits at the top.

Referrer or source tells you which platform sent them, so you can tell a channel that produces views from a channel that produces clicks.

Device is almost entirely a design input. Country tells you where your audience actually is, which is frequently not where you assumed.

Hour of day shows when clicks arrive rather than when you posted, and those two are often hours apart.

Rescued clicks counts how many clicks were pushed out of an in-app browser into the phone's real browser, which tells you how much of your traffic is arriving through app feeds.

The rescued-click number, and how to read it

This is the number no other link page dashboard is going to show you, because it only exists if the tool does something about the problem in the first place.

When a visitor arrives from inside the Instagram or TikTok app, they are in a cut down browser with none of their saved passwords or logged in sessions. HeyBio pushes those clicks out to the real browser instead, and counts how often that happened.

Read it as a proportion rather than a total. If most of your clicks are being rescued, nearly all your traffic is coming through app feeds, on phones, from people who are two seconds away from closing the tab. That tells you to fight for the first button and the first line rather than building depth further down the page. If very few are, more of your audience is arriving from desktop or from links pasted elsewhere, and you have more room to explain things.

Reading source and country without fooling yourself

Referrer data is directional, not forensic. In-app browsers are inconsistent about what they report, some traffic arrives with nothing attached at all, and a link pasted into a private message carries no source with it by definition. Use the source breakdown to compare platforms against themselves over time. A channel that doubled its share of your clicks is a real signal. An exact split down to the percentage point is not.

Country data has an error rate too, which is not a flaw specific to us. It is why per-link geo filtering fails closed: if a visitor's country cannot be determined, a geo-restricted link is not shown to them. The same uncertainty is worth remembering when you read the country chart. Treat a country appearing consistently near the top as real. Treat a single surprising country with a handful of visits as noise until it repeats.

Two decisions you can make from this in a week

First, button order. Look at clicks per button, move the strongest to the top, and cut anything that has been on the page for a month without earning a click. A shorter page with three working buttons beats a long one where the good link sits fourth. Change it, note the date, and compare the following week against the one before.

Second, timing. Hour of day tells you when clicks actually land, and the gap between posting time and click time is usually wider than people expect. If your clicks arrive in a consistent evening window, that is when your next post wants to be live, and that is also the window worth watching after you make a change.

Both of these are safe to try because changes are versioned and rollback is one click. Experiment on the live page, keep what works, put back what does not.

What these analytics cannot tell you

They are page analytics. They start when someone arrives and they stop at the click. What happens after the visitor lands on the other platform, whether they subscribed, what they spent, whether they came back, is not visible from here, and any tool claiming to join those up across a platform it does not control is overstating what it has.

They do not identify people. The dashboard reports visitors, clicks, sources, devices, countries and hours. It does not hand you a named individual or a personal profile.

They cannot tell you why someone did not click. Only that they did not.

And small numbers lie. A button with nine clicks against another with seven has told you nothing at all. Wait for enough traffic before you rearrange the page around a difference that is really just noise.

Questions