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Where your clicks come from — reading location, device, and referrer

What the three axes of visit analytics — location, device, and referrer — each tell you, and what decisions you can make from those signals.

If the visit count tells you how many, then location, device, and referrer answer something closer to where, who, and how. The same 100 clicks can be two completely different stories once you look inside them. Because linkpado handles every short link with a temporary redirect (302), each click passes through the server, and the information carried in that request is recorded and surfaced as these three signals. Let's look at what each axis says and what you can change based on it.

Location — where the click happened

A link's analytics show the visitor's approximate country and region. This value is estimated by matching the visitor's IP address against a GeoIP database. It is not precise coordinates or a specific person's whereabouts — it's closer to "this IP is generally used in this country, this region."

Even that estimate supports useful judgments. If a campaign is aimed at local customers but a large share of clicks arrives from an unexpected country, that's a reason to suspect the link was shared somewhere you didn't intend, or that automated traffic is mixed in. The reverse is also a signal: if clicks cluster in one region, that's a cue to consider follow-up content or ads tuned to it.

Keep the limits of estimation in mind. A VPN or corporate network can place a visitor far from where they actually are, and some IPs are hard to narrow down, so they resolve only to a country. Location is best read not as a way to trace individual clicks but as a broad view of how your traffic is distributed across regions.

Device, browser, and OS — the environment they viewed it in

The analytics also show whether a visitor clicked from mobile or desktop, and which browser and operating system they used. These come from parsing the User-Agent string carried in the visit request — the string a browser sends to introduce itself, containing device type, browser, and OS.

This is the axis that's easiest to act on. If most clicks come from mobile, the first thing to check is whether the destination page actually works on mobile. If text breaks or buttons don't respond on a small screen, the clicks you worked to earn fall away right there. If desktop weighs heavily instead, you have room to lean into content that suits a wide screen, like tables or large images.

Device mix also reveals the character of a channel. People who arrive via a QR code on a printed poster are almost all on mobile, while readers of a work newsletter skew desktop. Because the same link can produce a different device mix depending on how it was distributed, making a separate link per channel makes these comparisons far sharper.

Referrer — the path they came through

The referrer shows which page a visitor clicked the link from. If they came from a particular social post, a blog article, or another website, that source is recorded. When you've spread the same link across several places, this is what helps you tell which one actually produced the clicks.

Referrers are often empty, though. Messenger apps, email clients, QR code scans, and typing the address directly all pass no source information. So a lot of "direct" or blank values isn't a measurement failure — it's the natural result of those paths. If you want cleaner separation by source, making a distinct short link for each channel is more reliable than depending on the referrer alone.

These are inferred signals, not identification

All three are values aggregated and inferred from clues that ride along with a request. Location is a country and region guessed from an IP; device information is the browser's own self-description, parsed. None of them points to who a visitor is, and none is meant to identify an individual. linkpado's visit analytics are not used to single out individual users; they're built to read the broad shape of your traffic. How data is handled overall is published in the privacy policy.

You can see this analysis on each link's analytics view after you log in. If you want to make a link and watch where the clicks come from yourself, you can try it from the home page.