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How to Track Link Clicks Like a Pro in 2026

UTM parameters are table stakes. Here's how to build a real analytics system for your link-in-bio page that actually tells you what's working.

February 14, 2026

You have links. People click them. But do you know which links, when, from where, on what device, and why?

Most creators track nothing. The ambitious ones check click counts. The smart ones build systems.

Here's how to be smart about it.

Why click tracking matters

Every click on your link page is a data point. It tells you what your audience cares about. Which content converts. What time of day your page gets traffic. Which platforms drive the most engaged visitors.

Without tracking, you're guessing. And guessing is expensive when your income depends on driving traffic to the right places.

Level 1: Basic click counts

The minimum viable tracking. How many times each link was clicked. Total. That's it.

This is what most link-in-bio tools give you. A number next to each link. It's better than nothing, but it's like measuring your business with a ruler — you get one dimension.

You know Link A got 500 clicks and Link B got 50. But you don't know if those 500 clicks came from mobile or desktop. You don't know if they came from Instagram or Twitter. You don't know if they came at 9am or midnight.

Basic counts tell you WHAT happened. They don't tell you WHY or HOW.

Level 2: Time-series data

This is where tracking gets useful. Instead of total counts, you track clicks over time. Now you can see:

  • -**Patterns.** Your links get the most clicks between 6-9pm. That's when you should post.
  • -**Spikes.** A sudden surge in clicks? Something you posted is driving traffic. Find it, replicate it.
  • -**Decay.** Click rates dropping over time? Your content is getting stale. Time to refresh.

hasl.ink gives you time-series charts with multiple granularity levels — from 5-minute intervals for real-time monitoring to daily aggregates for long-term trends. You pick the time range (30 minutes to 90 days) and the data adjusts.

Level 3: Device and browser analytics

Knowing that 70% of your clicks come from mobile changes everything. It means:

  • -Your destination pages MUST be mobile-optimized
  • -Your link titles need to be short (mobile screens are small)
  • -Your page layout should be vertical-first

Browser data matters too. If 60% of your audience uses Chrome on iOS, that's your testing priority. Make sure everything works perfectly there first.

hasl.ink breaks down your traffic by device type (desktop, mobile, tablet), browser (Chrome, Safari, Firefox), and operating system (iOS, Android, Windows, macOS, Linux). No extra setup required.

Level 4: Referrer tracking

Where do your visitors come from? This is critical for understanding your marketing funnel.

If 80% of your traffic comes from Instagram, that's where your link page marketing efforts should focus. If Twitter drives only 5% of clicks but those clicks have 3x the CTR on your link page, Twitter might be your highest-value channel.

Referrer data tells you which platforms send you the most engaged visitors — not just the most visitors.

Level 5: UTM parameters

UTM parameters let you track specific campaigns. Add them to the links you share:

hasl.ink/you?utm_source=instagram&utm_medium=bio&utm_campaign=spring2026

Now you can see exactly which campaign, which platform, and which medium drove each visit. Combine this with click tracking on your link page and you have a full picture:

Instagram bio link → your hasl.ink page → which links they clicked

That's a funnel. That's actionable data.

Level 6: Page view analytics

Click tracking tells you what people DO on your page. Page view tracking tells you WHO visits and what they LOOK at.

Track page views separately from clicks. A high view-to-click ratio means your page is engaging. A low ratio means people land and leave — your page design or link presentation needs work.

hasl.ink tracks page views with full metadata: device, browser, OS, referrer. You can compare page views to clicks to calculate your actual CTR across different segments.

Building your tracking system

Here's a practical framework:

Daily: Check your overview stats. Total clicks, page views, CTR. Look for anomalies.

Weekly: Review your time-series charts. Identify patterns in when your audience is most active. Adjust your posting schedule accordingly.

Monthly: Deep dive into device, browser, and referrer data. Are there segments you're underserving? Platforms you're over-investing in?

Quarterly: Review your top-performing links. What do they have in common? Double down on what works. Kill what doesn't.

The metrics that matter

Don't track everything. Track what's actionable:

  • -**CTR (Click-Through Rate):** Views ÷ Clicks. The single most important metric for your link page.
  • -**Top links:** Which links get the most clicks? These are your audience's priorities.
  • -**Peak hours:** When does your page get the most traffic? Post before those hours.
  • -**Device split:** Mobile vs desktop. Optimize for your majority.
  • -**Referrer quality:** Which source sends visitors who actually click?

Stop guessing

The difference between a creator who grows and one who plateaus is often just data. The growing creator knows which links work, when to post, and where their audience comes from. The plateauing creator is guessing.

You have the traffic. You have the audience. Now track what they do with it.

Data doesn't lie. Your gut does. Track everything. Decide based on numbers.


Related: hasl.ink includes full analytics for free — see all features. Compare analytics across platforms in our hasl.ink vs Linktree comparison. New to hasl.ink? Get started in 5 minutes.