Analytics
The link-in-bio metrics that actually matter
Total clicks is a vanity metric. These six numbers tell you where visitors drop off, which links earn their place, and how much traffic never reaches a working browser.
Most link-in-bio tools report two numbers: page views and total clicks. Both go up when you post more, which makes them feel like progress and makes them nearly useless for deciding anything.
Here are six that change what you do next.
1. Click-through rate, not click count
Clicks divided by page views. This is the single number that describes whether the page itself works, and it is immune to the "we posted more this week" effect that makes raw counts meaningless.
A page where most visitors click something is doing its job. A page where most visitors look and leave has a clarity problem — too many options, unclear labels, or a mismatch between the post that sent them and what they found.
What to do when it is low: cut links. The fastest reliable fix for a low CTR page is removing options, not adding them.
2. Click distribution across links
Not "how many clicks" but "how are they spread". Sort your links by share of total clicks and the picture is usually blunt: one or two links carry almost everything, and the rest are decoration that dilutes attention.
What to do: delete or demote anything under a few percent. Every link you remove increases the odds of the ones you keep being clicked.
3. In-app vs. external sessions
The share of your visitors who arrived inside a restricted in-app browser, and the share who ended up in a real one. This is the metric almost nobody tracks and the one most likely to explain a conversion gap.
If your traffic comes from TikTok or Instagram bios, most of it starts in a webview where logins, wallet payments and downloads may quietly not work. Clicks look normal; conversions do not follow. Without this split you will diagnose it as a weak offer.
OpenOut records the breakout funnel as distinct events — the prompt being shown, an attempt being made, the link being copied, the external session being confirmed, and the prompt being dismissed — so you can see exactly where people fall out rather than inferring it. The in-app browser explainer covers why the losses are invisible otherwise.
4. Traffic source
Which platform sent each visitor. A page that converts well for newsletter traffic and badly for TikTok traffic is not one page with one problem — it is two audiences with different contexts, and averaging them hides both.
What to do: once you can see the split, stop optimising the average. Ask what the TikTok visitor specifically needs, and whether they should even land on the same page.
5. Device and OS mix
Overwhelmingly mobile, usually — but the iOS/Android split matters more than people expect, because the two platforms behave very differently when a link tries to leave an app. Android is more permissive; iOS is stricter, so guided fallbacks carry more weight there.
It also settles design arguments quickly. If 95% of your visitors are on a phone, the desktop layout is not where your attention belongs.
6. Time-to-first-click
How long visitors take to click something. Not every tool exposes this, but where you can approximate it, it is a good hierarchy check: fast clicks mean the primary action was obvious, slow clicks mean people had to read and decide.
A bio link page is not a place for deliberation. If the decision takes work, the page is doing too much.
What to ignore
- Total lifetime clicks. A number that only goes up cannot tell you whether something got better.
- Unique visitors, on its own. It measures your reach on the platform, not the quality of your page.
- Bounce rate. On a link-in-bio page, leaving is the success case — the visitor went to the destination. Standard bounce metrics invert the meaning here.
- Comparisons to other people's benchmarks. Traffic mix varies so much between accounts that an external "good CTR" number tells you nothing about yours. Compare against your own last month.
A workable review loop
- 1
Check CTR weekly
One number, one minute. If it moved, look for what changed on the page or in the traffic source.
- 2
Prune links monthly
Sort by click share, remove the bottom of the list. Resist the urge to add something to replace it.
- 3
Review the in-app split monthly
If a large share of visitors never reach a real browser, that is your biggest available conversion win — larger than any copy change.
- 4
Change one thing at a time
Bio link traffic is spiky and seasonal. Two simultaneous changes mean you learn nothing from either.
Frequently asked questions
What is a good link-in-bio click-through rate?
There is no meaningful universal benchmark — it depends far too much on traffic source, audience and how specific the post that sent them was. The useful comparison is your own page over time, and the useful lever is reducing the number of options.
Why do my clicks not turn into conversions?
The most commonly missed cause is that a large share of visitors are inside a social app's in-app browser, where logins, wallet payments and downloads often fail silently. Splitting conversion rate by in-app versus external sessions usually makes the gap obvious.
Can I see which platform each visitor came from?
Yes. OpenOut records the referring source alongside the device and OS for each session, so you can compare how TikTok, Instagram and other sources behave separately instead of only seeing the average.
How long is analytics data kept?
The Free plan includes basic analytics covering the last 7 days. Paid plans include advanced analytics with a longer history — see the pricing page for the current comparison.