Spot a fake lead, and stop paying for itSSppoott aa ffaakkee lleeaadd,, aanndd ssttoopp ppaayyiinngg ffoorr iitt

You pay for ads, the form fills up, you call back, and nobody answers. If that sounds familiar, you're not alone. Not all leads are equal, and some aren't even people.

The four fake leads

They come in four forms, easy to recognize once you know them.

The real cost

Lost time is easy to see. The other cost isn't: Google and Meta learn from what you report to them. Google's automated bidding relies on conversions, meaning the results you report. If every form submission counts as a success, the platform will send you more people who look like those fake leads.

Your ads learnfrom what you report to them

Do the math

Go back over your last thirty leads and note for each: reached or not, serious or not. It's the most useful math you'll do this month. If one lead in four is fake, each real lead actually costs you a third more than your account shows.

An illustration, not one of our accounts: thirty leads reported, eight fake, twenty-two left. The number that counts is the cost of those twenty-two.

What you can do right now

Ask one or two useful questions: the project, the timeline. They discourage window shoppers and prepare your callback. Also note where each lead comes from, to spot the campaign that sends the most bad ones.

Calling back fast, the best filter

A real customer has often contacted several businesses. Call back within the hour if you can: you're first to reply, and you know straight away whether the number exists. Keep one simple line that reminds them where they came from: "you wrote to us about a leak". It reassures the real customer and saves time on the fake one.

What we built for this

Leadsfluence puts three doors between the click and you. A silent check at each step stops bots. Your questions turn away window shoppers. A 6-digit code, sent by text or email, verifies the contact details.

If the same person returns on the same campaign, you get their inquiry only once. And only real inquiries are reported to your ad platforms.

The signs to look for when reading a form

You don't need a tool for a first sort. Some signs always come back, and you can read them in seconds.

That last line matters: not all bad leads come from bad intentions. Someone who lives two hours away may have seen a poorly targeted ad. In that case, it's the setting that needs to change.

Fake lead or bad lead

A fake lead never had a project. A bad lead has one, but it doesn't fit you: too far, too small, outside your trade. Both cost you, but they're not treated the same way. The first gets blocked. The second gets fixed in the ads and on the page, by saying clearly where you work and for whom.

Stating your area and your starting price on the page drives some visitors away. That's the point. Better ten requests you can serve than thirty you have to turn down on the phone.

A very simple log

Keep a table with one line per lead for a month. Four boxes are enough: the date, where it came from, reached or not, signed or not. A notebook will do. After a month, you'll know which campaign sends good customers, and so will your provider.

Give them that table. A platform only knows what it's told: without this feedback, it keeps sending you the leads it thinks are good.

What not to do

Don't turn your form into an interrogation. Ten required fields scare off real customers before fake ones. Two useful questions beat a long list, and a form in a few short steps is often easier to fill out on a phone than one big page.

And don't trust the monthly lead count alone. An account that reports fewer but signs more is a better account. It's the same logic as your monthly report.

It's all explained on the Leadsfluence page.