You track link in bio clicks by measuring four things together: page views, clicks per block, click-through rate per block, and where each click came from, broken down by source, device and country. A single click total only tells you that traffic exists somewhere. Those four measures together tell you which block, which platform and which specific post actually earned it.
Most creators check one number, total clicks this week, and stop there. That number can climb while the block that matters most, your shop or your latest drop, stays flat, because a spike in profile views from an unrelated viral post inflated the total without moving the block you care about.
This guide covers what to measure on a link in bio page, how to read a click-through rate per block, and how post-level attribution tells you which piece of content actually drove the traffic in the first place.
Key Takeaways
- Page views and clicks are different numbers. A view means someone landed on your page; a click means they acted on something in it.
- CTR per block tells you what’s working, not just whether traffic exists. A block with 500 views and 5 clicks has a different problem than one with 50 views and 20 clicks.
- Source, device and country breakdowns show where your traffic actually comes from, which often doesn’t match where you assume it does.
- Post attribution ties clicks back to the specific post that drove them, so you know which content is converting, not just which platform.
- Check trends over weeks, not single days. One post going unusually viral can distort a daily snapshot without changing your baseline.
Start with page views vs. clicks
A page view happens the moment someone lands on your bio link page. A click happens when they tap a specific block, your shop, a social icon, a booking link. These are separate metrics because a high-view, low-click page has a different problem than a low-view page: the traffic is arriving but not finding a reason to act once it’s there.
If views are climbing but clicks aren’t, the issue usually sits with the page itself: an unclear header, blocks in the wrong order, or a top block that doesn’t match what brought people to the page in the first place. If both are low, the problem is earlier in the funnel, on the platform sending traffic, not on the page.
Read click-through rate per block
Click-through rate per block divides clicks on a specific block by the views that block was shown for, giving you a percentage that’s comparable across blocks even when their raw click counts differ.
| Block | Views | Clicks | CTR |
|---|---|---|---|
| Shop | 1,200 | 180 | 15% |
| Latest video | 1,200 | 340 | 28% |
| Newsletter | 1,200 | 40 | 3% |
| Socials | 1,200 | 90 | 8% |
In an example like this, the newsletter block isn’t underperforming because nobody wants it, it’s underperforming relative to the other blocks on the same page, seen by the same audience. That’s a signal to move it higher, change its label, or reconsider whether it belongs above the fold at all. A raw click count alone wouldn’t have surfaced that comparison.
Break traffic down by source, device and country
Total clicks hide where they actually came from. Source, device and country breakdowns answer three different questions:
- Source shows which platform, Instagram, YouTube, Pinterest, X, Threads, is sending clicks, so you know where to invest more effort.
- Device shows whether your audience is mostly on mobile or desktop, which affects how your page should be designed and tested.
- Country shows where your audience actually is, which matters for anything time-sensitive, a livestream, a drop, an event, since posting at “peak time” means something different depending on where your audience lives.
A creator who assumes most traffic comes from Instagram because that’s their primary platform sometimes finds Pinterest or YouTube quietly outperforming it once they actually check the breakdown. Assumptions about traffic sources are worth checking against real numbers at least monthly.
One source needs handling on its own, since AI assistants send both bot fetches and real people, and telling AI referral traffic apart from AI crawler reads covers how to keep the two out of the same row.
Use post attribution to find what’s actually working
Source breakdowns tell you which platform sent traffic. Post attribution goes one step further and ties clicks back to the specific post that drove them, so instead of “Instagram sent 400 clicks this week,” you see “Tuesday’s Reel sent 310 of those 400 clicks, and Thursday’s carousel sent the rest.”
That distinction changes what you do next. Without post-level attribution, you might conclude “post more on Instagram.” With it, you learn “post more Reels like Tuesday’s,” which is a more useful, and more specific, answer.
More.You puts the two views on the same screen: per-block click analytics and post-level attribution read from the same page, so you never have to reconcile two dashboards that disagree.
Watch trends, not single days
A single viral post can distort a day’s numbers without reflecting your actual baseline. Look at click patterns over two to four weeks rather than reacting to one unusually good or bad day. A block’s CTR that holds steady at 15% for a month tells you more than a one-day spike to 40% that never repeats.
If you’re still setting up your page and want the fundamentals of what makes a block worth clicking in the first place, see get more clicks on your link in bio. If you’re specifically trying to understand which metrics matter most week to week, link in bio analytics that matter goes deeper on prioritizing what to check first. And if the traffic itself needs work before the page can convert it, how to drive traffic from Instagram covers the channel side of the equation.
A total click count tells you traffic exists. Views, clicks, CTR per block, source, device and country breakdowns, and post attribution tell you why. Create your More.You page and see all of it in one place, instead of guessing which post actually worked.
FAQ
What’s the difference between page views and clicks on a link in bio page?
A page view counts each time someone lands on your page. A click counts each time they tap a specific block on it. A page can have high views and low clicks if the content is arriving but not converting once someone’s there.
What is click-through rate per block?
It’s the percentage of page views that resulted in a click on a specific block, calculated separately for each block. It lets you compare how a shop block is performing against a newsletter block or a socials block, even if their raw click counts are very different.
Why does source, device and country data matter for a bio link page?
Source shows which platform is actually sending traffic, which is sometimes different from the platform you post on most. Device shows whether your audience is mostly mobile, which affects page design. Country matters for timing anything live or time-sensitive.
What is post attribution and why does it matter more than a source breakdown?
Post attribution ties clicks back to the specific post that drove them, not just the platform. Knowing that one particular Reel or video drove most of a week’s clicks is more useful than knowing “Instagram” sent them, because it tells you what to make more of.
How often should I check my link in bio analytics?
Check trends over two to four weeks rather than reacting to single days, since one unusually popular post can distort a daily snapshot without reflecting your actual baseline performance.
Sources
- More.You product brief, section 2 (analytics: page views, clicks, CTR per block, source/device/country breakdowns, post-level attribution)
Analytics described from the More.You product brief as of September 2026. Individual results vary.
