Real-Time Detection

Click Fraud Detection Software

Monitor every paid click, score the suspicious ones, and see exactly which campaigns, keywords and sources are generating invalid activity.

βœ“ No credit card required Β· Setup in minutes Β· Cancel anytime

4.8 Β· 247 reviews

Before you can stop click fraud, you have to see it. Didva is click fraud detection software focused on visibility. It records every paid click, scores it against dozens of signals, and shows you where invalid activity is concentrated by campaign, keyword, geo, device and source.

The problem

The hardest part of click fraud isn't blocking, it's knowing where it's happening. Ad platform dashboards show clicks and conversions, not which sources are suspicious or why. Without that diagnosis, teams either ignore the problem or block blindly and risk excluding real customers.

How the signal stack works

Detection quality is decided by what you measure, not by a single magic signal. Each paid click is evaluated across layered evidence. Network signals first: the IP address, its ISP or ASN, whether it belongs to a datacenter or proxy range, and its geography. Then device and browser signals: the user agent, and fingerprints that betray automation frameworks pretending to be human visitors.

Behavior seals the verdict. Real prospects scroll, navigate and dwell; bots bounce in milliseconds or repeat identical patterns on a timer. Repeat-click frequency, session timing and engagement depth are compared against what genuine buyers on the same campaign do. No single signal condemns a click β€” the combination does, which is what keeps false positives down.

Reading a flagged click

Every flagged click opens into a full record: the campaign, ad group, keyword and landing page that paid for it, the IP and its network owner, the device and fingerprint evidence, the session's behavior trail, and the specific reasons the score crossed the line, with a confidence level attached.

That record is the difference between detection software and a black box. You can defend a decision to a client, attach it to a Google Ads invalid-click refund claim, or overrule it when you know something the model doesn't β€” like an office IP that legitimately clicks your ads every day.

From diagnosis to action

Detection is deliberately separated from enforcement. You can run in monitoring mode indefinitely β€” many accounts start with a few weeks of pure observation to build a baseline of where invalid activity concentrates before blocking anything.

When the picture is clear, findings flow into the prevention layer: exclusion lists, automatic blocking of high-confidence threats, and a review queue for borderline cases. That workflow is covered in depth on the click fraud prevention software page.

How it works

Track β†’ Score β†’ Block β†’ Report β†’ Optimize

A closed loop that turns raw paid clicks into clean, defensible traffic data.

  1. 1

    Track

    Record every paid click and session with full campaign, IP, device and behavior detail.

  2. 2

    Score

    Rate each click for risk using IP, timing, repeat behavior, device and engagement.

  3. 3

    Diagnose

    See invalid-activity hotspots by campaign, keyword, geo, device and source.

  4. 4

    Report

    Drill into any flagged click and export the evidence behind it.

  5. 5

    Act

    Hand clean findings to exclusion and blocking workflows when you're ready.

Install in minutes

One snippet. No code changes.

Paste the Didva tag on your paid landing pages β€” it starts scoring clicks immediately.

Tracking snippet
<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.

Capabilities

Everything you need to protect paid traffic

Detection, blocking, alerting and clean reporting in one place.

Full click monitoring

Every paid click is recorded and tied to the campaign and keyword that paid for it.

Risk scoring

Each click gets a risk score and the reasons behind it, so nothing is a black box.

Source breakdowns

See which campaigns, keywords, geos and sources concentrate invalid activity.

Anomaly alerts

Be notified the moment a campaign or source shows abnormal invalid clicks.

Click-level evidence

Drill into any click for IP, timestamp, user agent and the full signal trail.

Detection that feeds action

Findings flow straight into exclusion lists when you decide to start blocking.

Product

See Didva in action

Real-time monitoring, risk scoring and one-click evidence β€” in a single dashboard.

app.didva.com/dashboard
Didva dashboard: live click and conversion overview with fraud-risk distribution
Click stream with per-click risk scoring, device and behavior signals
Every paid click, scored
Blocked IPs with risk reasons and exportable invalid-click evidence
Blocking & evidence
IP detail with risk score, risk factors and exportable click evidence
IP evidence & risk factors
Device fingerprints with multi-IP and click-farm detection
Device & farm detection
Signals

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 landing page
  • IP address, ISP/ASN, geo and device
  • Browser, user agent and automation fingerprints
  • Repeat clicks, session frequency and click timing
  • Engagement depth, dwell time and navigation
  • Conversions and lead quality
  • Risk reason, confidence level and recommended action
Reviews

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.
Michael Turner Β· PPC Lead
Setup was a single snippet. The evidence export made our Google Ads refund request painless.
Sarah Mitchell Β· Growth Marketing Manager
Clear per-IP reasons and a review queue so we are not blocking real customers. Exactly what we needed.
David Reynolds Β· Founder
Datacenter and repeat-click detection paid for itself fast. Reporting is clear enough to share with clients.
Jessica Parker Β· Head of Performance
We manage campaigns across several clients and the dashboard quickly highlighted traffic patterns we would have otherwise missed.
Mark Sullivan Β· Agency Owner
Simple setup, useful alerts, and enough detail to investigate suspicious visitors without involving developers.
Emily Carter Β· Founder
The product delivered value quickly. I would like a few more filtering options, but the core detection features work well.
Ryan Foster Β· Performance Marketing Manager
The manual review queue helped us avoid blocking legitimate visitors while still dealing with suspicious traffic.
Ashley Bennett Β· Growth Lead
The IP-level evidence makes client conversations much easier. Instead of assumptions, we can show actual data.
Kevin Brooks Β· PPC Specialist
One of the cleaner interfaces we have used in the ad fraud space. Reports are easy to understand.
Laura Jenkins Β· Marketing Director
Within the first week we found a source of repeated clicks that had been consuming budget for months.
Daniel Hughes Β· Founder
Useful notifications, clear reasoning, and very little noise. Most flagged visits deserved attention.
Megan Turner Β· Head of Acquisition
We mainly wanted better visibility into traffic quality. The platform delivered exactly that.
Jason Reed Β· E-commerce Manager
I like that every flag includes supporting details. It builds confidence in the decisions being made.
Olivia Scott Β· Marketing Operations Lead
We tested several tools and this was the easiest one to explain to both clients and team members.
Nathan Walker Β· Founder
Good balance between automation and transparency. Nothing feels hidden behind a black box.
Rachel Green Β· Growth Marketing Manager
The repeat-click reports helped us identify unusual traffic spikes during a competitor campaign launch.
Tyler Morgan Β· Paid Media Lead
Client reporting became much easier once we started including the exported traffic quality reports.
Sophia Hall Β· Performance Lead
Strong product overall. A few advanced reporting features would be nice, but detection accuracy has been solid.
Ethan Cooper Β· Founder
The value was obvious after the first couple of weeks. We now review suspicious traffic as part of our regular workflow.
Victoria Adams Β· Head of Marketing

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FAQ

Frequently asked questions

What is click fraud detection software?

It is software that monitors paid clicks and scores suspicious ones so you can see where invalid activity is happening: by campaign, keyword, source and more, before deciding how to respond.

How is detection different from prevention?

Detection is about visibility, finding and diagnosing invalid clicks. Prevention adds blocking and exclusions on top. Didva does both; this page focuses on the detection and reporting layer.

Can I see why a click was flagged?

Yes. Every flagged click comes with a risk score, the signals behind it and a confidence level, plus exportable evidence.

How quickly are clicks scored?

Clicks are scored in real time or near real time as paid visitors reach your landing pages.

Do I have to block traffic to use it?

No. You can run Didva purely for monitoring and reporting, then enable blocking workflows whenever you're ready.

Free traffic audit

See how much of your traffic is real

Tell us your site and we'll show you where invalid clicks are draining your budget.

No credit card. We'll never share your details.

See where your click fraud is really happening.

Didva scores every paid click and shows you the campaigns and sources behind invalid activity.