How to Track Link Clicks: A Beginner's Analytics Guide
Sharing links without tracking them is guessing with extra steps. The good news is that you do not need to be an analyst to get value out of link data — there are about three numbers that change decisions, and everything else is decoration.
This guide is the short version: what to look at, the one habit that makes the numbers mean anything, and how to stop when you have enough.
The three numbers that matter
Total clicks is raw demand. On its own it is close to useless, because you have nothing to compare it against. As a trend across weeks, it tells you whether your reach is growing or whether one good post is carrying everything.
Clicks over time is the shape of the curve, and it is the most under-read number in the list. A spike that dies in two hours and a slow trickle that lasts three weeks can produce the same total while calling for opposite strategies.
Clicks per link is the comparison that settles arguments. Which channel delivered? Which post? Which of the two subject lines? This number only exists if you set things up so it can — which brings us to the habit.
One link per placement
This is the single change that turns link data from trivia into evidence: create a separate short link for every place you post, even when the destination is identical.
Same landing page, different links for Instagram, the newsletter, the printed flyer and the WhatsApp broadcast. Now the dashboard answers “where did these people come from” directly, instead of showing one blended figure that averages your best channel with your worst.
Referrer data is not a substitute, and it is worth knowing why. Traffic from a messaging app usually arrives with no referrer at all, traffic from an app's in-built browser is frequently mislabelled, and anything printed obviously carries nothing. A distinct link per placement is the only method that survives all three cases, because the information is in the URL rather than in something the browser volunteers.
Reading the timing
Look at the curve before you look at the total.
If clicks spike for two hours and then flatline, your content has a short shelf life. The implication is frequency: post more often, and stop expecting a single post to keep working. If clicks trickle steadily for days or weeks, you have made something evergreen, and the implication is the opposite — resurface it, link it from somewhere permanent, and do not bury it under new posts.
If clicks arrive in a daily rhythm, you have learned when your audience is actually awake and holding a phone, which is worth more than most advice about optimal posting times, because it is about your audience rather than an average of everyone's.
UTM parameters, and when you need them
UTM parameters are labels appended to a URL — source, medium, campaign — that a web analytics tool reads on arrival. They answer a different question from the one link data answers: link data tells you the click happened, UTMs tell your site analytics what to attribute the resulting visit and any purchase to.
If you have a website with analytics installed and you care what happens after the click, use both: a distinct short link per placement, carrying UTMs for the site. If you do not have site analytics, or the destination is not yours, UTMs add nothing and one link per placement is the whole job. UTM tagging is available on the free tier, so the choice is about whether the data is useful to you, not about cost.
What you can see, and on which plan
Click and scan totals are visible on every plan, including free, for every link and every QR code. The full breakdown — by country, device, operating system, browser and referrer — is part of Pro at €9/month; the totals stay visible either way. You can see the plans side by side on the pricing page, and there is a public overview of aggregate activity on the stats page.
Worth saying plainly: for the habit described above, totals per link are enough. One link per placement plus a total each answers “which channel worked” completely. The breakdown answers a later question — who they were and what they were holding — which matters once you are choosing between audiences rather than between channels.
Turning numbers into decisions
The rule that keeps this useful: only track what would change what you do next.
Low clicks on an offer you believe in usually means the placement or the label is wrong, not the offer. Move the link higher, make the call to action say what happens after the tap, and measure again. Two placements with similar totals and very different curves mean you have one audience that acts immediately and one that acts eventually — treat them differently. A link nobody clicks, in a place you keep posting, is a slot you can reuse for something else.
And a caution: small numbers are noise. Eleven clicks against nine is not a finding, and acting on it will teach you the wrong lesson confidently. Wait until the gap is obvious, or run the comparison for longer.
Every link and every QR code on ShareCut counts clicks automatically, so the only work is the habit: one link per placement, and a look at the curve before the total.