Analytics · 8 min read · Updated August 23, 2026

How to Track Link Clicks: A Practical Guide to Link Analytics

You share a link in a newsletter, a social bio, a Slack channel, and a PDF, and a week later someone asks the reasonable question: how many people clicked it? Your website analytics cannot answer that. It sees sessions that arrived, not clicks that happened, and it sees nothing at all for clicks that bounced, got blocked, or went to a page you do not own.

Click tracking solves this by measuring at the only place every click passes through: the URL itself. This guide explains how that works, what a click event actually contains, why raw counts lie without bot filtering, the difference between total and unique clicks, and how link analytics and web analytics divide the work.

Why clicks have to be counted at the URL

A click is not a pageview. The click happens wherever the link lives: an email client, a chat app, a printed QR code, another site. The pageview happens later, on the destination, and only if the visitor arrives with JavaScript enabled, no blocker interfering, and a page you control on the other end. Every step between click and pageview loses data, which is why the click count in web analytics is really an arrival count.

A trackable short link removes the gap. The link points at a server you control, that server logs the request, then forwards the visitor to the destination with an HTTP redirect. The measurement happens before anything can be lost: no JavaScript required, no code installed on the destination, and it works even when the destination is someone else’s site, an app store page, or a PDF.

What a click event actually contains

Because tracking rides on an ordinary HTTP request, each click can reveal exactly what a request reveals. That is more useful than it sounds:

Two honest caveats. Location is derived from the network IP, so treat it as city-level and directional, never forensic. And the referrer is frequently empty: email clients, native apps, and anything going from HTTPS to HTTP send none, which is exactly the hole UTM parameters exist to fill.

Total clicks vs unique clicks

Total clicks counts every request. Unique clicks estimates people, usually by hashing the visitor’s IP address and user agent into an anonymous fingerprint and counting distinct fingerprints. ReSlug does exactly this, which keeps the estimate useful without storing anything that identifies a person.

The gap between the two numbers is information. A campaign with 500 total and 480 unique clicks reached 480 people once. One with 500 total and 90 unique found 90 people who kept coming back, which is a very different result from the same total. Just remember uniques are an estimate: office networks share IPs, and the same person on phone and laptop counts twice.

Bots, crawlers, and the unfurl problem

Paste a link into Slack, Teams, WhatsApp, or a social post and the platform immediately fetches it to build the little preview card. That fetch is a request to your link, and on an unfiltered tracker it counts as a click, sometimes several, from a datacenter you never targeted. Search crawlers and security scanners that follow links in email add more phantom traffic on top.

A serious link tracker filters this traffic instead of reporting it. ReSlug scores each request against known bot user agents, headless-browser fingerprints, and the header patterns automated clients get wrong, and it also discards browser prefetches, where an app quietly loads a link the user never taps. The clicks you see are the ones a human made.

Setting up click tracking in practice

1. Shorten the destination URL. The short link is the measuring point, so every placement you want counted must use it rather than the raw URL.
2. Tag the destination with UTM parameters first, so your web analytics can attribute the sessions too. A UTM builder keeps utm_source, utm_medium, and utm_campaign consistent, and ReSlug records those values on every click as well.
3. Create one link per placement, not one per campaign. Separate links for the newsletter, the bio, and the community post is what lets you compare placements later; a single shared link can only ever tell you the total. The same rule applies to QR codes in print.
4. Name slugs so future you can read them. A convention like launch-nl-aug beats a random hash in every report you will ever build; the same discipline as UTM naming.

Link analytics and web analytics do different jobs

The two tools measure opposite ends of the same journey. Link analytics counts clicks: it sees every placement, works on destinations you do not own, and needs nothing installed. Web analytics counts sessions: it sees what happened after arrival, conversions included, but only on your own site and only for visitors its script could observe.

So the numbers will never match, and that is expected rather than broken. Clicks exceed sessions because some visitors bounce before the analytics script loads, block it outright, or land somewhere it is not installed. Use the click count as the true measure of how well the link and placement performed, and the session data as the measure of what the traffic did next. When the gap is enormous, suspect a slow landing page or a broken redirect; a redirect checker settles the second theory in seconds.

What this looks like in ReSlug

Every ReSlug link gets per-link analytics on every plan: total and unique clicks, a timeline, country and city breakdowns, device, browser, and OS splits, referrer domains, and the UTM values carried on each click, with bot and prefetch filtering applied throughout. Clicks that arrive through a link’s QR code are flagged separately, so one link can tell print and digital apart. History is retained for 30 days on the free plan and 365 days on Pro, and everything is exportable when you need the raw rows.