Microsoft Ads Click Fraud Protection
Identify fake clicks and low-quality traffic from Microsoft Advertising campaigns with suspicious-source tracking, exclusions and evidence.
✓ No credit card required · Setup in minutes · Cancel anytime
Microsoft Advertising (formerly Bing Ads) carries the same invalid-traffic risks as other paid search, often with less attention paid to it. Didva monitors Microsoft Ads clicks, scores suspicious sources, and helps you build IP exclusions and evidence, so the channel stays clean as you scale it.
Because teams watch Microsoft Ads less closely than Google, invalid clicks can go unnoticed for longer. Bots, repeat clickers and low-quality sources quietly waste budget on a channel that's often valued for cheaper, high-intent traffic.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Capture
Log every Microsoft Ads click with campaign, keyword and signals.
- 2
Flag
Surface suspicious sources on IP, device, repeat behavior and engagement.
- 3
Exclude
Build IP exclusion lists to apply to your Microsoft Ads campaigns.
- 4
Document
Export click-level evidence and invalid-activity breakdowns.
- 5
Protect bidding
Keep fake conversions out of your bidding data.
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.
Suspicious-source scoring
Surface repeat clickers, datacenter IPs and low-engagement traffic.
Microsoft Ads monitoring
Track every click and tie it to its campaign, keyword and landing page.
Clean conversion data
Keep fake clicks and leads out of the data your bidding relies on.
Evidence reports
Export IPs, timestamps and campaign context for investigations.
IP exclusions
Build exclusion lists you can apply to your Microsoft Ads account.
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 geolocation
- Device type, browser and user agent
- Repeat clicks, frequency and click timing
- Engagement, dwell time and navigation
- Conversions and lead quality
- 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
Does Microsoft Ads have click fraud?
Yes. Microsoft Advertising (formerly Bing Ads) faces the same invalid-traffic risks as other paid search: bots, repeat clickers and low-quality sources that waste budget.
Can Didva block IPs on Microsoft Ads?
Didva helps you build suspicious IP exclusion lists you can apply to your Microsoft Ads campaigns, plus evidence to support investigations.
Why protect Microsoft Ads specifically?
Teams often watch Microsoft Ads less closely than Google, so invalid clicks can go unnoticed longer on a channel valued for cheaper, high-intent traffic.
Does it work alongside my Google Ads protection?
Yes. Didva connects click, risk and conversion data across paid channels, so Microsoft and Google Ads are protected together.
Can I export evidence?
Yes. IP, timestamp, user agent and campaign context are all included in the export for every flagged click.
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
Keep Microsoft Ads clean as you scale it.
Didva detects suspicious clicks, builds your exclusions and documents the evidence.