Bot Click Detection Software
Identify automated clicks on your paid ads by their fingerprints: timing, device, IP and behavior, before they spend your budget.
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Bot click detection is about catching the clicks no human made. Didva analyzes the timing, device, IP and behavior behind each paid click to separate automated activity from real prospects, then keeps those bot clicks out of your spend and your data.
Automated clicks are designed to look ordinary. Scripts and click tools fire on your ads at scale, often from datacenter or proxy IPs, with timing and behavior no real person would produce. In your ad dashboard they're indistinguishable from genuine clicks.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Record
Log every paid click with its IP, device, user agent and timing.
- 2
Fingerprint
Flag automation fingerprints, impossible timing and datacenter sources.
- 3
Exclude
Cut confirmed bot sources from your campaigns.
- 4
Report
See which campaigns attract the most bot clicks, with evidence.
- 5
Clean up
Keep automated clicks out of your conversion data.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Datacenter and proxy scoring
Flag clicks from hosting providers, VPNs and proxy networks by ASN.
Automation fingerprinting
Detect headless browsers, scripted clicks and abnormal interaction timing.
Clean data
Keep automated clicks out of the conversion data your bidding uses.
Click-level evidence
Drill into any bot click for IP, timing, user agent and signal history.
Bot exclusions
Push confirmed bot sources into exclusion and blocking workflows.
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 landing page
- IP address, ISP/ASN and datacenter reputation
- Device, browser and user-agent consistency
- Headless and automation fingerprints
- Click timing, repeat clicks and session frequency
- Engagement and conversion outcomes
- 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 bot click detection?
Bot click detection identifies automated clicks on paid ads (generated by scripts, click tools and headless browsers) by analyzing the timing, device, IP and behavior behind each click.
How is this different from bot traffic detection?
Bot traffic detection covers all non-human sessions broadly; bot click detection focuses specifically on automated clicks on your ads and the fingerprints that reveal them.
How does Didva spot bot clicks?
It combines IP and ASN reputation, automation fingerprints, click timing and engagement, scoring each click so likely bots are surfaced with the reasons behind them.
Can Didva block bot clicks automatically?
High-confidence bot sources can be excluded automatically, with borderline cases held for review to avoid false positives.
Do bot clicks really affect my budget?
Yes. Each bot click costs the same as a real one, spends budget, and feeds false signals into your reporting and bidding.
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
Catch the clicks no human ever made.
Didva detects automated clicks by their fingerprints and keeps them out of your budget.