A bio page that reports 4,000 visits and nothing else is a counter, not a report. You can see that people arrive. You cannot see which profile sent them, what they were holding when they got there, or whether the change you made last Tuesday helped.
The data behind that number is already being recorded. This guide covers what link in bio analytics log on every visit, how to read each part of it, and which decisions the numbers should change.
What link in bio analytics record
Every visit goes through the page's short code before anything renders. That pass takes a few milliseconds, and it is the moment the visit gets logged.
What gets stored is narrow and mostly technical:
- The time of the visit, which builds the daily chart.
- The referrer, meaning the site or app the visitor came from.
- The country, based on the network.
- The device type and brand, the browser, and the operating system.
- Whether the visit arrived as a link click or a QR scan.
- Any UTM tags that were sitting on the URL.
None of it identifies a person. No name, no email, nothing that follows anyone around the web. It is server-log data: useful in aggregate, silent about any one visitor.
In the dashboard you filter this by link and by date range, so a link in bio page keeps its own numbers instead of blending into the totals of your short links.
The referrer line is the one to read first
Referrer answers the question most creators are really asking, which is not "how many" but "from where".
Instagram sends its traffic through the in-app browser, so those visits arrive tagged with an Instagram domain rather than instagram.com itself. TikTok behaves the same way with its own. Visits marked as direct are the ones that carried no referrer at all: someone typed the address, scanned a code, or came through an app that strips the field before the request leaves.
That split matters because the same page URL usually sits in three or four profiles at once. The visit count cannot separate them. The referrer can. For an Instagram-first account this is the number that tells you whether the profile is carrying the page or quietly doing nothing while YouTube does the work.
One caveat worth knowing: direct traffic is always larger than it looks. Some of it is genuinely people typing your address, and some of it is a platform that refuses to pass the field. Treat direct as a floor, not as an audience you have identified.
Country and device change real decisions
Device data reads as a formality until you use it. Almost every bio visit comes from a phone, which is why the page is designed for a narrow screen in the first place. What the breakdown adds is the shape of that phone traffic: the split between iOS and Android, and the device brands underneath it.
If a large share of your visits come from mid-range Android handsets, heavy card images are costing you visits you never see, because the page is judged in the second before it finishes loading. If your traffic leans iOS in a wealthy market, a product card with a price on it has a better chance than a newsletter signup.
Country does similar work on the content side. It tells you which language your page should open in, which currency makes sense on product cards, and when your audience is actually awake. A page in English pulling most of its visits from Brazil is a translation problem dressed up as a conversion problem.
Clicks and QR scans land in the same place
Every link in Linxly, including a bio page, gets a QR code automatically. If you have printed that code on packaging, a menu, or a business card, those scans arrive at the same page as your social traffic.
The analytics keeps them apart. Link clicks and QR scans are counted separately, so 1,200 visits can be read as 900 taps from social and 300 scans from something physical you paid to print. That second number is the only honest answer to whether the print run did anything. The mechanics behind it are covered in how to track QR code scans.
UTM tags separate what the referrer cannot
Referrer tells you the platform. It does not tell you which post, which story, or which of the two profiles you run on the same network.
UTM tags fix that, and they go on the bio page URL itself, not on the links inside it. Put linx.ly/yourname?utm_source=instagram&utm_medium=bio in the website field behind your Instagram bio link and ?utm_source=tiktok&utm_medium=bio in the next profile, and the UTM breakdown splits the traffic cleanly even when the referrer arrives empty. The visitor sees the same page.
This is also how you measure a campaign that runs across several places at once. Tag the URL you put in a story differently from the one in your profile, and the two stop being one number. The tag syntax and the mistakes that quietly ruin the data are in what are UTM parameters.
Give each destination its own report
Page-level data tells you how many people arrived and where from. For the destinations themselves, build the page so each one reports on its own.
Create a short link for the destination first, then point the card at that short link instead of the raw URL. The destination now has its own click report: its own daily chart, its own country and device breakdown, its own referrer list. Ten cards built this way give you ten separate reports instead of one blended total, and you can compare them directly.
There is a second reason to do it. A short link stays editable after the fact. When a product sells out or a video gets replaced, you repoint the link and the card keeps working without touching the page. The counting side of this is explained in link click tracking.
Use a readable slug for each one, like linx.ly/spring-guide rather than a random string. Six months later you will still know which report belongs to which offer.
Read it weekly, not daily
Daily numbers on a bio page are mostly noise. One post lands, traffic spikes for two days, then it settles. Reading that chart every morning produces anxiety and no decisions.
A weekly comparison is different. Set the date filter to the last seven days, look at the same range from the week before, and ask three questions: did total visits move, did the referrer split change, and did anything you changed on the page line up with either. Export the range to a spreadsheet if you want to keep a running record.
What you do with the answer is usually small. Move the card that gets the traffic to the top. Drop the one nobody opens. Change a thumbnail and check the same range next week. A page that gets edited on the basis of last week's numbers beats one that gets redesigned twice a year on instinct. If you are still deciding which tool to build that page on, how to choose a link in bio tool covers what to check before you commit.
Frequently Asked Questions
What do link in bio analytics include?
Visits to your bio page, with the time, referrer, country, device type and brand, browser, operating system, and whether the visit came from a link click or a QR scan. UTM tags on the page URL appear as their own breakdown.
Why does so much of my traffic show as direct?
Because some apps strip the referrer before the request leaves, and because scans and typed addresses carry no referrer by design. Direct is a mix of those, so read it as a floor rather than a single source.
How do I tell Instagram traffic apart from TikTok traffic?
The referrer breakdown separates them on its own. If you want the split to survive apps that strip the referrer, add a different UTM source to the page URL you place in each profile.
Can I see analytics for a single destination on my page?
Yes. Create a short link for that destination and point the card at it. The short link keeps its own click report with its own country, device and referrer data, and it stays editable after the page is live.
How far back does the data go?
You choose the range with the date filter, and you can export any range to a spreadsheet for a longer record.
Is analytics included in the trial?
Yes. The 7-day free trial includes the full analytics for bio pages, short links and QR codes. After that, plans start at $0.99 a month, billed monthly, cancel anytime.