Click Fraud Prevention Software
Prevent wasted ad spend with automated suspicious-click detection, IP exclusions, bot filtering and clean conversion signals, all working in the background.
✓ No credit card required · Setup in minutes · Cancel anytime
Detecting click fraud is only useful if it stops the bleeding. Didva is click fraud prevention software built around automation. It scores paid clicks as they arrive and pushes high-confidence threats straight into exclusion and blocking workflows, so invalid traffic stops spending your budget without manual effort.
Reviewing suspicious clicks by hand doesn't scale. By the time you spot a pattern and add an exclusion, the budget is already gone and the same sources are back tomorrow. Prevention has to be automatic and continuous, while still keeping you in control of borderline cases.
The first week: monitor before you block
The right way to turn on prevention is gradually. Start in monitoring mode: let scoring run for a full week (longer for low-volume accounts) without excluding anything. This builds a baseline of which campaigns, geos and sources concentrate invalid activity — and shows you what would have been blocked, before anything actually is.
That first week answers the question every advertiser should ask before automating: "would this tool have cost me any real customers?" Review the flagged list, spot-check the evidence behind the highest-risk clicks, and note any sources you know to be legitimate.
Turning on automatic exclusions
When the baseline looks right, enable auto-exclusion for high-confidence threats only. Datacenter IPs, known bot fingerprints and rapid repeat-clickers are the safe first tier — the signals are unambiguous and the traffic has effectively zero chance of converting.
Borderline traffic stays in the review queue, where a human decides. As you confirm the tool's judgment over a few cycles, you can widen the automatic tier. Exclusions update continuously, so a source blocked today doesn't quietly return next week — which is exactly the failure mode of managing IP exclusion lists by hand.
Keeping false positives out
Prevention that blocks real buyers is worse than no prevention. Three controls keep that risk low: the confidence threshold (only high-certainty threats are auto-excluded), the review queue (ambiguous cases wait for you), and the evidence trail (every exclusion shows the signals that justified it, so mistakes are visible and reversible).
Whitelisting handles the known edge cases — your own office IPs, agencies and testing tools — so routine internal clicks never enter the scoring pipeline at all.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Capture
Record every paid click and session as it arrives.
- 2
Rate
Score each visit for risk in real time across dozens of signals.
- 3
Auto-exclude
Cut high-confidence threats automatically; hold borderline traffic for review.
- 4
Filter
Keep bots and known-bad sources out with continuously updated exclusions.
- 5
Improve
Feed clean conversion signals back so bidding learns from real buyers.
One snippet. No code changes.
Paste the Didva tag on your paid landing pages — it starts scoring clicks immediately.
<script async src="https://app.didva.com/js/ct-click.js" data-site-key="YOUR_SITE_KEY"></script>
Replace YOUR_SITE_KEY
with the key from your dashboard. Add the conversion tag to thank-you pages to keep lead quality clean.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Auto IP exclusions
High-confidence sources are pushed into exclusion lists without manual work.
Automated suspicious-click detection
Every click is scored in real time so threats are caught the moment they appear.
Continuous protection
Exclusions update continuously so repeat offenders don't simply return tomorrow.
Bot filtering
Datacenter, proxy and automated traffic is filtered out before it spends budget.
Review controls
Borderline traffic is held for human review so legitimate clicks aren't lost.
See Didva in action
Real-time monitoring, risk scoring and one-click evidence — in a single dashboard.
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 click fraud prevention software?
It is software that automatically detects and blocks invalid paid clicks, through real-time scoring, IP exclusions and bot filtering, so wasted ad spend is prevented rather than just reported after the fact.
How is prevention different from detection?
Detection finds and diagnoses invalid clicks; prevention acts on them automatically. Didva does both, and this page focuses on the automated blocking and filtering layer.
Will automatic blocking hurt my real customers?
High-confidence threats are blocked automatically, but borderline traffic is held for review, and every decision includes the signals behind it, so you keep control of false positives.
Does it keep working without me?
Yes. Scoring, exclusions and filtering run continuously in the background, with alerts when something needs your attention.
Which platforms does it protect?
Didva protects paid traffic across Google Ads and other paid channels by connecting click data, exclusions and conversion outcomes.
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 invalid clicks before they spend your budget.
Didva scores, blocks and filters paid traffic automatically, so prevention runs without manual effort.