ClickFortify currently supports Google Ads and Meta Ads only. This guide covers manual steps you can take in Microsoft Advertising yourself.
Almost everything written about click fraud assumes you advertise on Google. Microsoft Ads, the auction behind Bing, AOL, Yahoo, DuckDuckGo, and a long tail of partner sites, gets treated as the quiet, safe channel where clicks are cheaper and nobody bothers you.
That reputation is only half true. The clicks are often cheaper. They are not cleaner. The same economics that make click fraud profitable on Google (real money paid per click, automated traffic that costs nearly nothing to generate) apply to every pay-per-click auction on the internet. And two things make Microsoft Ads specifically worth your attention: most advertisers import their Google campaigns and inherit every fraud exposure with them, and far fewer advertisers monitor Microsoft traffic quality at all, so the waste runs quietly. (New to the topic? Start with the complete guide to click fraud protection, then come back for the Microsoft specifics.)
Does Click Fraud Happen on Microsoft Ads?
Yes, and you don't have to take our word for it. Microsoft's own support forums carry advertiser threads reporting spam traffic from irrelevant syndicated publishers and [click fraud complaints on Microsoft Audience Network campaigns](https://learn.microsoft.com/en-us/answers/questions/5509121/microsoft-advertising-microsoft-audience-network-(). Microsoft itself maintains documentation on monitoring and preventing invalid clicks. Platforms don't build click-quality classification systems for problems that don't exist.
The broader numbers frame why no PPC channel is exempt:
| Signal | What it shows | Source |
|---|---|---|
| Bots > 53% of web traffic | Automated traffic now outpaces humans (47%) | Imperva, 2026 |
| Agentic AI traffic +7,851% YoY | Autonomous, human-like agents exploding in 2025 | HUMAN Security, 2026 |
| ~$63B wasted on invalid ad traffic in 2025 | ≈8.51% of paid clicks were invalid | Industry analysis (MediaPost) |
Those are web-wide figures, not Microsoft-specific rates. But Microsoft Ads runs on the same internet, against the same bots, with the same billing model.
Where Invalid Clicks Come From on Microsoft Ads
The threat mix looks familiar, with one Microsoft-shaped addition at the top:
- Syndicated search partner sites. Third-party sites showing Bing/AOL/Yahoo results, and your ads with them. Quality ranges from excellent to junk, and low-oversight partner inventory is where accidental clicks and incentivized traffic concentrate.
- Microsoft Audience Network placements. Native placements across external apps and sites, with the same external-inventory risk the display world has always had.
- Bots and automated traffic. Scripted and AI-driven clicks routed through proxies to look like ordinary users. The same bot traffic that hits every ad platform.
- Competitor clicks. Rivals clicking your brand and high-value keywords burn budget on Bing exactly as they do on Google, often more freely, because they assume nobody is watching there.
- Accidental and low-intent clicks. Mis-taps and curiosity clicks that Microsoft explicitly classifies as low-quality when its filters recognize them.
The pattern that matters: imported campaigns import exposure. If you copied your Google Ads account into Microsoft Ads (the standard onboarding path), you copied your keywords, geos, and bids into an environment with looser distribution defaults and a smaller manual toolbox, usually without copying any of the monitoring discipline.
Microsoft Actually Shows You More Than Google Does
Credit where due: Microsoft Advertising is unusually transparent about click quality. Its systems classify every click into three buckets:
| Click class | What it means | Are you billed? |
|---|---|---|
| Standard-quality | Clicks that pass Microsoft's validity checks | Yes |
| Low-quality | Filtered clicks: deny lists, activity-based detection, low commercial intent | No |
| Invalid | Clicks identified as fraudulent or worthless (bots, repeated clicks, abuse) | No |
And unlike most platforms, it lets you see the filtered volume: in any performance report, open the column chooser and add "Low-quality clicks" and "Low-quality click rate (%)". Microsoft's documentation even distinguishes general low-quality clicks (caught by deny lists and activity patterns) from sophisticated ones: invalid clicks that use sophisticated means to appear valid.
Use that visibility, but keep the right expectations. The columns show you what the filter caught, and nothing about what it missed. A rising low-quality click rate tells you your campaigns are attracting automated attention. A low one does not tell you your traffic is clean; sophisticated invalid traffic that passes the filter is billed as standard-quality and appears nowhere. That blind spot is structural: a missed fraudulent click is indistinguishable from a real one in the platform's own reporting, which is why detecting click fraud independently matters on every platform.
How to Check Your Microsoft Ads Account in 15 Minutes
A quick traffic-quality health check, in order:
- Add the low-quality columns. Reports → column chooser → add "Low-quality clicks" and "Low-quality click rate (%)". Compare across campaigns; investigate outliers.
- Run the Website URL (publisher) report. This lists the actual partner sites showing your ads. Sort by spend, then by conversion rate. Sites with real spend and zero conversions go on your exclusion list.
- Compare clicks to sessions. Line up Microsoft-billed clicks against your analytics sessions and engagement. A wide, persistent gap is the classic invalid-traffic signature.
- Check geography and hours. Clicks from regions you don't serve or clusters at 3 a.m. deserve scrutiny. These are the same signals as our wrong-geo clicks diagnosis, Bing edition.
- Watch conversion quality, not just volume. If Bing "converts" but the leads are fake or unreachable, the traffic isn't real demand.
The Syndicated Partner Problem
Syndicated search partners are Microsoft Ads' biggest structural difference from Google, and its biggest quality lever.
Your ads don't just run on Bing. They extend to a long tail of third-party sites showing Bing, AOL, and Yahoo results. Some partners send excellent traffic. Others send exactly what advertisers describe on Microsoft's own Q&A forum: high-click, zero-conversion visits from publishers you've never heard of.
Three controls, in escalating order:
- See it. The Website URL (publisher) report (Reports page) shows every partner site serving your ads, with performance per site. This report is your ground truth. Run it before touching anything else.
- Exclude the bad. Add underperforming sites to website exclusions. At the manager-account level you can maintain up to 3 shared exclusion lists of 10,000 URLs each. Build one list of proven-junk publishers and apply it across every account you run.
- Restrict distribution. If partner traffic stays poor after exclusions, tighten the ad distribution setting so ads favor owned-and-operated search results. (Microsoft has moved this control around in recent UI updates, so check current campaign settings rather than old screenshots.)
The discipline that works is a loop, not a one-off: publisher report monthly, exclusions updated, repeat. Junk publishers rotate domains; a static exclusion list decays.
How to Block IPs in Microsoft Ads (and Why the Ceiling Matters)
Microsoft Ads supports IP exclusions, with three constraints that matter (Microsoft's exclusion documentation):
- Maximum 100 IP addresses or ranges per campaign, a fifth of Google's 500.
- Campaign level only. There is no account-wide list; every campaign needs its own copy.
- IPv4 only, wildcard only in the last octet.
203.0.113.*works; broader CIDR ranges don't.
Manual IP blocking has the same problem here it has everywhere, just with a smaller bucket: modern invalid traffic rotates through residential proxies and CGNAT addresses far faster than any hand-maintained list of 100 entries can track. The 100-slot ceiling isn't the real limitation. The approach is. It's the same conclusion we reached for Google Ads IP exclusions: useful for a handful of known repeat offenders (your competitor's office, a persistent abuser), inadequate as a primary defense.
Automated protection sidesteps the ceiling by scoring behavior and devices rather than memorizing addresses, and by updating exclusions continuously instead of when someone remembers to.
Google Ads vs Microsoft Ads: Fraud Defense Compared
| Control | Google Ads | Microsoft Ads |
|---|---|---|
| Automatic invalid click filtering | Yes (credited, not billed) | Yes (filtered, not billed) |
| Click-quality visibility | Invalid clicks columns (account/campaign) | Low-quality clicks + rate columns, general vs sophisticated classes |
| IP exclusions | 500 per campaign | 100 per campaign, IPv4 only, campaign level only |
| Partner network exposure | Search partners + Display (opt-out varies by campaign type) | Syndicated search partners + Audience Network; publisher-level report available |
| Placement transparency | Placement reports (limited for some campaign types) | Website URL (publisher) report with per-site performance |
| Refund path for missed fraud | Invalid click credit request (~60-day window) | Click quality investigation via support |
Neither platform's built-in layer is sufficient alone; both filter conservatively, report opaquely, and bill everything they fail to recognize. The difference is that on Microsoft Ads you get better per-publisher visibility and a smaller manual toolbox, on a channel you're statistically less likely to be watching.
The "Cheaper Clicks" Math Can Deceive
The case for Microsoft Ads has always been efficiency: lower CPCs, less competition, incremental reach. That case survives click fraud, but only if you do the same waste math you'd do on Google.
A $2 Bing click at a 10% invalid rate wastes less per click than a $6 Google click at the same rate, but the damage compounds identically: polluted conversion data trains your bidding toward fake engagement, junk leads burn sales hours, and remarketing lists fill with bots. And because Microsoft accounts are so often run on autopilot (imported, launched, reviewed quarterly), a bad traffic source can drain budget for months where the same pattern on Google would be caught in a week. Waste percentage, not CPC, is the number that decides whether the channel actually delivers. Run your own numbers with the ad fraud calculator.
A Practical Protection Plan for Microsoft Ads
| Move | Why it matters |
|---|---|
| Add low-quality click columns to your standing reports | Free early-warning signal Microsoft already computes for you |
| Run the publisher report monthly and maintain exclusion lists | Syndicated partners are the channel's biggest quality variable |
| Reserve your 100 IP slots for proven repeat offenders | The ceiling is too low for anything else |
| Reconcile billed clicks against analytics sessions | The click-to-session gap catches what the filter misses |
| Request a click quality investigation with evidence when patterns emerge | Credits are real, but only documented cases win them |
| Extend automated, cross-platform protection to Microsoft Ads | Behavioral scoring and continuous exclusion updates don't care which auction billed the click |
The last row is where most advertisers eventually land. The manual controls above are worth using; they're free and they work at the margins. But they share one flaw: they respond to fraud after it's billed, using yesterday's IP list against traffic that rotated this morning. ClickFortify does not support Microsoft Ads today; it applies real-time detection, automated exclusions, and an evidence trail to Google Ads and Meta. On Microsoft Ads, the manual controls above remain your main defense. See how ClickFortify works.
The Bottom Line
Microsoft Ads earns its place in a PPC mix: cheaper auctions, real incremental reach, and unusually good click-quality transparency. It just isn't the fraud-free haven its reputation suggests. The same bots hit the same auctions, the syndication network adds an exposure Google advertisers don't carry at that scale, and the manual defenses cap out at 100 IPs per campaign. Treat Bing traffic with the same skepticism you've learned to apply to Google: read the low-quality columns, police your publishers, reconcile clicks against sessions, and put an independent layer under the whole thing. Cheap clicks are only cheap when they're real.
