Clean Conversion Data for Paid Ads
Keep Google Ads, GA4 and your reporting honest by separating suspicious clicks and fake leads from real customer signals.
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Your decisions are only as good as your data. Didva keeps conversion data clean by separating suspicious clicks and fake leads from genuine customer signals, so Google Ads, GA4 and your reports reflect real demand, and automated bidding learns from it.
When invalid traffic and fake conversions enter your data, every downstream number is off. Conversion rates look wrong, channel comparisons mislead, and Smart Bidding optimizes toward fraud. The damage isn't just wasted spend. It's wrong decisions made on dirty data.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Track
Capture every paid click and the conversion it produces.
- 2
Score
Flag suspicious clicks, bots and fake conversions in real time.
- 3
Separate
Split genuine customer signals from invalid activity.
- 4
Report
See clean, quality-adjusted performance by campaign and source.
- 5
Optimize
Feed only real conversions into bidding and reporting.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Traffic-quality scoring
Score every paid visit so quality, not just volume, is visible.
Fake-conversion detection
Identify junk leads and fake conversions before they pollute reports.
Trustworthy bidding
Let Smart Bidding learn from real conversions, not invalid traffic.
Clean reporting
See quality-adjusted performance across Google Ads, GA4 and your reports.
Signal separation
Keep invalid activity out of the conversions your tools rely on.
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
- Repeat activity, session frequency and timing
- Engagement, dwell time and navigation
- Conversions, lead quality and conversion patterns
- 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 does clean conversion data mean?
It means your reported conversions reflect genuine customer actions, with suspicious clicks and fake leads separated out so the data you optimize on is accurate.
Why does conversion data get dirty?
Bots, fake clicks and junk leads enter your campaigns and register as activity, distorting conversion rates, channel comparisons and the signals bidding learns from.
How does Didva keep data clean?
Didva scores every paid visit and conversion, separates invalid activity from genuine signals, and keeps fake conversions out of your reporting and bidding.
Does this affect Smart Bidding?
Yes, positively. Cleaner conversion data means automated bidding optimizes toward real prospects instead of being trained on fraud.
Does Didva replace GA4 or Google Ads reporting?
No. Didva complements them by improving the quality of the data they receive and report on.
See how much of your traffic is real
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Make decisions on data you can trust.
Didva keeps fake clicks and leads out of your conversion data so reporting and bidding stay honest.