If your texting report shows a click-through rate that seems too good to be true, part of it may be. Automated link scanners and security bots click the links in your messages before any human does, inflating your click numbers and, worse, sometimes triggering automations meant for real engaged voters. It's worth understanding so you don't make decisions on phantom data.
Where the phantom clicks come from
When you send a text with a link, the carriers, security systems, and messaging apps in the delivery path may automatically fetch or scan that link to check it's safe, before the recipient ever opens the message. To your link-tracking system, that scan can look identical to a human click. The result is a click count padded with visits that no voter made.
Why it matters
Two problems. First, it flatters your metrics: a click-through rate inflated by scanners tells you your message performed better than it did, and if you're comparing messages or reporting results, that noise leads you astray. Second, and more damaging, if you've built automations that fire when someone "clicks", a follow-up sequence, a tag, a hand-off, phantom clicks can trigger them for people who never engaged, wasting messages and corrupting your data.
How to keep your numbers honest
Don't treat raw click counts as gospel. Look at the pattern: a cluster of "clicks" in the same instant a message was delivered, before humans could plausibly have read it, is a tell. Favor downstream measures that are harder to fake, actual donations, replies, sign-ups, ballots or actions completed, over raw clicks, because those require a real person. And build automations on real engagement signals, not a single click that a scanner can trip.
The takeaway
Ghost clicks don't mean your tracking is worthless; they mean raw click-through rate is a soft number. Anchor your evaluation on the outcomes that require a human, and treat clicks as directional rather than exact. A campaign that knows its numbers are a little inflated makes better decisions than one that believes every click was a voter.
Frequently asked questions
What are ghost clicks?
Automated visits to the links in your texts, made by carrier and security scanners checking the link is safe, before any human opens the message. They look like real clicks and inflate your click-through rate.
Why are ghost clicks a problem?
They flatter your metrics, making messages look better than they performed, and can misfire automations that trigger on a "click," firing follow-ups and tags for people who never actually engaged.
How do I keep my metrics honest?
Treat raw clicks as directional, watch for click clusters that arrive the instant a message is delivered, and anchor evaluation on outcomes that require a real person, donations, replies, sign-ups, actions completed.
Clicks are soft; outcomes are hard. See measuring texting ROI. This is one thread in keeping data honest.
Keep reading: What is link tracking in texts and political texting benchmarks.