Bot traffic on your landing page: how much budget walks away
Automated traffic does not just burn budget — it poisons the data you optimise on. How to tell how much of yours is not human.
The loss that never shows up in the report
Everyone understands that bots burn budget. What almost nobody calculates is the second loss, which is usually bigger: dirty data.
When part of your traffic never had any intention of buying, your conversion rate reads lower than it really is. You look at that number and make decisions on it — swap the creative, rewrite the page, kill a campaign that was working.
You are not optimising the campaign. You are optimising against visitors who were never going to buy.
Who these visitors are
- Crawlers sweeping pages continuously, with no relation to your ad.
- Spy tools competitors use to find and copy offers that are working.
- Automated checkers that open the page to confirm it exists and is online.
- Archivers storing a copy of the page.
None of them will buy. All of them count in your denominator.
How to suspect it is happening to you
- Visits that arrive and leave in under two seconds, in volume.
- Hits from countries your campaign does not even target.
- Traffic spikes at hours with no ad activity at all.
- Lots of visits and almost no events afterwards — no scroll, no click, no video start.
- A large gap between what the ad platform counts as clicks and what your page records as visits.
The last one is the most telling: if the platform says 1,000 clicks and your page saw 1,400 visits, the extra 400 did not come from the ad.
What changes when you separate them
Your numbers mean something again
Conversion rate goes back to measuring your offer, not the proportion of robots that came along.
Your offer stops circulating
Spy tools exist to find what is working. The better your campaign performs, the more of that attention it attracts.
Budget goes to people who can buy
Less spent on those who never had intent, more on those who do.
The anti-bot filter is part of the same app that builds the page — not an add-on you plug in. And what each visitor receives is decided by an AI that updates in real time.
Start by measuring
Before hiring anything, look at the five signals above in your own numbers. If the gap between paid clicks and recorded visits is large, you already know the size of the problem — and the maths of whether it is worth solving becomes easy.
When you want to see how it looks with the separation done, the plans are at vellarfunnels.com.
Six years on the battlefield, now decided by AI
Vellar brings six years in the cloaking market into a single app — cloaker, anti-bot filter and page editor together, with an AI deciding in real time.
See VellarPricing →Keep reading
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