Why Email Link Triggers Tag People Who Never Clicked
A link trigger tags people based on what they click. Someone clicks "join the waitlist" in your email, and Kit tags them, adds them to a sequence, or moves them into a new funnel, all without any work from you. That convenience is the reason link triggers became so popular.
The problem is that a growing share of those clicks are not coming from real subscribers. Your waitlist ends up holding people who never signed up. Your snooze tag lands on subscribers who still open every email. Someone gets pulled out of a promotion they wanted to see. The automation you set up to save time is now acting on data you cannot trust.
The clicks you're tagging on aren't all human
When someone opens your email from a school or corporate inbox, their security software often clicks every link in the message to scan it for anything harmful before the person ever sees it. Addresses ending in .edu, large companies, and government accounts all tend to run this kind of check. Your "join the waitlist" link gets clicked by that firewall, and the tag fires as if a person had done it.
Automated scanner bots behave the same way. They click links to check them, they tend to hit the first link quickly, and they often click every link in an email in sequence, which is something a real subscriber almost never does.
Your email platform usually cannot tell the two apart. Kit has confirmed that it does not filter bot clicks out of your metrics, so every firewall and scanner click is counted the same as a genuine one. A trigger you built to respond to a human decision ends up responding to machine traffic as well.
A link trigger fires on any click. It cannot tell the difference between a person choosing to click and a firewall scanning the email on its way through. Both fire the same automation.
This is why I no longer use link triggers for anything that carries real consequences. A wrong tag on a minor action does little harm. When the click controls a waitlist, a snooze, or whether someone stays in a launch, I want to be certain a real person made that choice.
How big senders catch the bots: the honeypot link
Large email senders solve part of this with a technique called a honeypot link. A honeypot is a decoy link placed in the email that no human can see. It is hidden with code so it renders at zero size, or it is placed in a part of the email the reader never views. A real subscriber never clicks it because they cannot find it. A scanner bot clicks everything, so the moment that hidden link is clicked, you know a bot was in the email.
Some email platforms build this into every send. One tool adds a small invisible link to every email and records any interaction with it as confirmed bot activity. Within the email deliverability field, this is a standard and accepted practice.
"A honeypot tells you a click came from a bot. It does not stop that bot from triggering your automation."
Dr. Destini CoppThe honeypot catches the bot but doesn't stop the trigger
This is the limitation that matters. The honeypot identifies the bot. It does not prevent your trigger from firing.
When a scanner clicks your real "join the waitlist" link and your hidden honeypot link in the same pass, Kit still runs the waitlist automation. The honeypot records that the activity came from a bot, but the tag has already been applied.
For that reason, large senders use the honeypot for cleaner reporting rather than for automation. They move all clicks flagged as bot activity into a separate group, sometimes called a clickbot jail, so those clicks no longer distort the numbers they report on. It corrects the data after the fact. It does not stop the automation in real time.
A honeypot identifies bot activity after the click has already happened. It does not prevent that click from triggering your automation.
Kit does not offer a built-in version of this. It will not detect the honeypot or adjust your reports around it, so you would have to add the hidden link yourself and review the flagged clicks manually. That can help you understand what happened on a single send, but it does not fix your triggers.
What actually fixes it
If the goal is to stop tagging the wrong people, the honeypot is not the answer, because it identifies the problem without solving it. Three changes do solve it.
Require a real person to act
Instead of tagging someone the moment they click a link in the email, send them to a short page where they confirm the choice and select a button. A firewall will not complete that step, and a bot will not submit it. Only a person will. This is the change that actually stops the false trigger, because the action now happens on a page rather than on the email click itself.
Pass the subscriber's email to the page
When you send people to that page, include their email address in the link so they do not have to type it. Many subscribers sign up with one address and read email at another, and asking them to enter it manually introduces errors. Carrying the email in the link lets the page tag the correct subscriber while still firing only on a genuine click.
Wait for a second signal
Because your email platform will not filter the bots for you, build that check into your own logic. Rather than acting on a single click, wait for a click combined with another signal: an open followed by a click, a click followed by a reply, or a click that holds for several minutes instead of firing seconds after you send. Bots act instantly and click everything at once, and real subscribers do not. That difference is what confirms the click is real.
Why the extra step is worth it
Link triggers are appealing because they run in the background. You set them once and rarely check them again, and that is exactly what makes them risky. An automation you never review can run on bad data for months before you notice.
A reliable automation is not the one that needs no attention. It is the one built on a signal you trust. A confirmation step costs your reader one additional click, and in return you act on a decision a real person actually made.
This sits in the Engage and Nurture stages of the Creator Growth Flywheel, the points where you respond to what a subscriber does, such as clicking, opting in, or asking for more. When the action you respond to is not real, everything you build on top of it becomes unreliable. Correct the signal first, and the rest of the process holds.
I have not abandoned link triggers permanently. If their reliability improves, I will use them again. For now they do not produce data I trust, and a confirmation step is the most dependable way to stay in control of it.
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Security software at schools, companies, and government inboxes often clicks every link in an email to check it for anything harmful before the person ever sees it. Automated scanner bots do the same. Your email tool reads those machine clicks as real ones and fires the tag or automation, so people who never touched the link get tagged anyway.
A honeypot link is a hidden decoy link you place in an email that no human can see. A real subscriber will never click it because they can't find it, but a scanner bot clicks everything. When that hidden link gets clicked, you know a bot was in the email. It's a detection tool, not a fix, because it flags the bot but doesn't stop your other triggers from firing.
No. Kit has confirmed it does not filter bot clicks out of your metrics. Every firewall and scanner click counts the same as a real one, which means link triggers can fire on machine traffic and your reporting includes clicks that were never people.
Send people to a confirmation page instead of firing a tag on the email click. When a real person has to land on a page and hit a button, firewalls and bots drop out because they don't fill out forms. You can also wait for a second signal, like an open plus a click or a click that holds for a few minutes, before you act on it.
They still work for low-stakes moves where a wrong tag doesn't cost you much. The risk shows up when the click controls something important, like adding someone to a waitlist, snoozing their emails, or pulling them out of a promo. For those, a confirmation step protects you from acting on clicks you can't trust.
