Conversion Fraud Detection for Paid Ads
Detect fake conversions and suspicious conversion patterns before they train your bidding to chase more fraud.
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Conversion fraud is the most damaging kind of invalid traffic because it corrupts the signal your campaigns optimize on. Didva detects fake conversions, low-quality leads and suspicious conversion patterns, then keeps them out of the data automated bidding learns from.
Modern campaigns optimize toward conversions, so a fake conversion is worse than a fake click. It actively teaches Smart Bidding to find more traffic like the fraud. Bot form-fills, junk sign-ups and spammed conversions quietly steer budget toward low-quality sources.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Track
Capture every conversion alongside the click and session behind it.
- 2
Score
Flag fake conversions and suspicious conversion patterns in real time.
- 3
Separate
Keep junk conversions out of the signals bidding optimizes on.
- 4
Report
See which sources produce real conversions versus fraud.
- 5
Optimize
Let automation learn only from genuine outcomes.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Fake-conversion detection
Identify bot form-fills, junk sign-ups and spammed conversions.
Pattern scoring
Flag suspicious conversion patterns: bursts, duplicates and odd timing.
Signal protection
Keep fraudulent conversions out of the data Smart Bidding learns from.
Conversion alerts
Get notified when fake conversions spike on a campaign or source.
Source evidence
See which sources generate real conversions versus fraud, with detail.
Protected bidding
Help automated bidding optimize toward genuine outcomes.
See Didva in action
Real-time monitoring, risk scoring and one-click evidence — in a single dashboard.
What Didva tracks on every paid visit
Each click is scored against dozens of signals, then tied back to the campaign, keyword and conversion it belongs to.
- Campaign, ad group, keyword and source
- IP address, ISP/ASN, geo and device
- Browser, user agent and automation fingerprints
- Click-to-conversion timing and session behavior
- Conversion type, frequency and duplication
- Lead and account quality signals
- Risk reason, confidence level and recommended action
What advertisers say
Real feedback from teams protecting their paid traffic with Didva.
Caught a click-farm pattern our previous tool missed and cut wasted spend within the first month.
Setup was a single snippet. The evidence export made our Google Ads refund request painless.
Clear per-IP reasons and a review queue so we are not blocking real customers. Exactly what we needed.
Datacenter and repeat-click detection paid for itself fast. Reporting is clear enough to share with clients.
We manage campaigns across several clients and the dashboard quickly highlighted traffic patterns we would have otherwise missed.
Simple setup, useful alerts, and enough detail to investigate suspicious visitors without involving developers.
The product delivered value quickly. I would like a few more filtering options, but the core detection features work well.
The manual review queue helped us avoid blocking legitimate visitors while still dealing with suspicious traffic.
The IP-level evidence makes client conversations much easier. Instead of assumptions, we can show actual data.
One of the cleaner interfaces we have used in the ad fraud space. Reports are easy to understand.
Within the first week we found a source of repeated clicks that had been consuming budget for months.
Useful notifications, clear reasoning, and very little noise. Most flagged visits deserved attention.
We mainly wanted better visibility into traffic quality. The platform delivered exactly that.
I like that every flag includes supporting details. It builds confidence in the decisions being made.
We tested several tools and this was the easiest one to explain to both clients and team members.
Good balance between automation and transparency. Nothing feels hidden behind a black box.
The repeat-click reports helped us identify unusual traffic spikes during a competitor campaign launch.
Client reporting became much easier once we started including the exported traffic quality reports.
Strong product overall. A few advanced reporting features would be nice, but detection accuracy has been solid.
The value was obvious after the first couple of weeks. We now review suspicious traffic as part of our regular workflow.
Ready to see which clicks are real? Start protecting your paid traffic in minutes.
Start Protecting Your AdsFrequently asked questions
What is conversion fraud?
Conversion fraud is the generation of fake conversions (bot form-fills, junk sign-ups or spammed actions) that register as goals and corrupt the data your campaigns optimize on.
Why is conversion fraud worse than click fraud?
Because campaigns optimize toward conversions. A fake conversion actively trains automated bidding to chase more traffic like the fraud, compounding the damage.
How does Didva detect fake conversions?
Didva ties each conversion to the click and session behind it and scores patterns like bursts, duplicates, odd timing and bot fingerprints to flag fraud.
Can fake conversions be kept out of Smart Bidding?
Yes. Didva separates suspicious conversions from genuine ones so the data feeding automated bidding stays clean.
How is this different from fake lead prevention?
Conversion fraud detection focuses on identifying fraudulent conversions and protecting bidding signals; fake lead prevention focuses on stopping junk leads from reaching your CRM and sales team.
See how much of your traffic is real
Tell us your site and we'll show you where invalid clicks are draining your budget.
Related solutions
Stop training your bidding on fraud.
Didva detects fake conversions and keeps them out of the signals automation learns from.