For Google Analytics

Google Analytics Bot Traffic Detection

Spot bot traffic in Google Analytics and trace suspicious sessions back to the campaigns, keywords and paid sources that brought them.

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

4.8 Β· 247 reviews

Seeing bot traffic in Google Analytics is one thing. Knowing where it came from is another. Didva detects bot and invalid sessions and connects them back to the paid campaigns, keywords and sources responsible, so you can act on the source, not just observe the symptom.

The problem

Analytics reports show suspicious patterns: odd referrals, spikes of zero-engagement sessions, strange geographies, but rarely tie them to a specific paid source. Without attribution, you can flag bot traffic but can't stop it at the campaign level.

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

    Capture every paid session and its full source and behavior detail.

  2. 2

    Score

    Detect bot, proxy and automation signals across sessions.

  3. 3

    Attribute

    Connect suspicious sessions to the campaign, keyword and source behind them.

  4. 4

    Report

    See which paid sources generate the most bot traffic.

  5. 5

    Act

    Exclude the sources responsible so the pattern stops recurring.

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.

Source attribution

Trace suspicious sessions back to the campaign, keyword and source.

Bot session detection

Identify automated and invalid sessions beyond the known-bot list.

Cleaner analytics

Keep bot sessions from distorting the reports you rely on.

Evidence reports

Document suspicious sessions with IPs, timestamps and signals.

Source exclusions

Block the paid sources behind recurring bot traffic.

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.

  • Source, medium, campaign, keyword and landing page
  • IP address, ISP/ASN and datacenter reputation
  • Device, browser and user-agent consistency
  • Automation and headless fingerprints
  • Session timing, frequency and engagement
  • Conversion outcomes by source
  • 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

Ready to see which clicks are real? Start protecting your paid traffic in minutes.

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FAQ

Frequently asked questions

How do I find bot traffic in Google Analytics?

Look for spikes of zero-engagement sessions, odd referrals and unusual geographies. To go further, Didva detects bot sessions and ties them back to the paid sources responsible.

Does Google Analytics block all bots?

No. Analytics excludes known bots and spiders but misses sophisticated invalid traffic, which still flows into your reports.

How is this different from GA4 bot filtering?

GA4 bot filtering focuses on isolating bots within your reports; this focuses on detecting bot sessions and attributing them to the paid campaigns and sources that brought them.

Can Didva stop the bot traffic, not just show it?

Yes. Once a source is identified, you can exclude it so the same bot traffic stops reaching your campaigns.

Does Didva replace Google Analytics?

No. Didva complements Analytics by detecting invalid paid traffic and connecting it to its source.

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.

Trace bot traffic back to its source.

Didva detects invalid sessions and ties them to the paid campaigns responsible so you can act.