Google and Meta bidding is a feedback machine. Tell it a bot is a conversion and it will go find you more bots, brilliantly and expensively. The fix is to feed it the truth about which leads were real.
Native Google Ads and Meta integrations. No spreadsheets to export.
It is very good at its one job: find more people likely to do the thing you called a conversion. Which becomes a very expensive problem the day that thing includes junk.
You define it
You tell the platform a form fill counts. It takes you at your word. That is the whole contract, and it holds even when the form fill was a bot.
It learns
A bot submits, the pixel fires, the platform records a conversion. Then it studies that bot's profile and goes looking for traffic that behaves the same way.
It scales
You are now paying a world-class machine learning system to find you more of exactly what you did not want. The better it gets, the worse your pipeline gets.
So many advertisers live in this strange split: the marketing dashboard has never looked better, and the sales team has never complained more. Both are telling the truth.
Marketing sees
Conversions up. Cost per lead flat or falling. The campaign gets marked a winner and gets more budget, because on the surface everything looks healthy.
Sales sees
Numbers that never pick up, emails that bounce, demos that no-show. The floor swears the leads have never been worse, and they are telling the truth.
Both are right
The damage lives two steps downstream, in close rates, where nobody connects it back to the bidding signal. That gap is almost always fake leads.
Both platforms ship the fix and most advertisers never wire it up. Tell them which conversions were real, and the bidding model re-learns from a corrected signal instead of a padded one.
Step 01
Feedback only helps if the verdicts are right. Each lead gets checked the moment it lands: real, questionable, or fake, with the reasoning attached.
Step 02
Native Meta Conversions API and Google offline conversion imports carry each verdict back automatically, with retries, so the signal is complete instead of occasional.
Step 03
Once the platform knows which conversions were fake, it stops chasing the traffic that produced them. Reported CPL ticks up briefly, then real cost per qualified lead falls.
Most teams file lead validation under nice-to-have, first to cut. Wired into your ad platforms it becomes something else: the same budget buying more real customers. The spend does not change. What the algorithm learns from it does.
Close the loop on your adsUpload a sample of your converted leads and see how many were real. Then close the loop, and let the same budget go find you customers instead of form-fill bots.
Run the free audit