Ad Fraud Prevention
Ad fraud prevention.
Spend on real customers.
Paid clicks from bots waste budget and inflate acquisition numbers. ShieldLabs detects automated visits and scores traffic by source, helping you spot wasted spend by channel and campaign.
Start FreeCampaign signup
A visitor arrives from your ad.
Browser automationDevice spoofing
Protect acquisition spend
Keep bot-driven landing traffic from wasting your growth budget.
Scale better campaigns
Find sources bringing genuine visitors before increasing your budget.
Keep performance credible
Keep risky visits from distorting traffic quality and acquisition numbers.
Protect signup offers
Detect linked users abusing trials or promotions after a paid visit.
Acquisition quality
Find wasted spend.
Scale better sources.
See traffic quality alongside visit volume for every channel, referrer and UTM campaign. Find sources bringing bot traffic, invalid traffic and risky registrations before increasing spend.
Automation behind visits
Detect bot-driven traffic.
Protect real demand.
Automated visits after ad clicks can consume spend without creating genuine demand. ShieldLabs detects browser bots in landing traffic so you can find click fraud signals in the visits your campaigns actually bring.
Expose disguised ad traffic
Detect proxies and anti-detect browsers behind landing-page visits.
Follow risky registrations
See multi-accounting alongside the sources bringing repeat signups.
The ShieldLabs platform
More than a click count.
The quality behind the traffic.
Combine traffic analytics with identification, bot detection, device and network evidence, risk signals and account abuse detections to understand paid acquisition.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
See traffic quality.
Protect acquisition spend.
Get traffic quality by channel, referrer and campaign, with bot detections and ready-made risk assessments for the visitors and devices reaching your landing pages.
How it works
Start understanding your traffic.
Connect your product and get traffic quality results for the sources bringing visitors.
- 01
Add the snippet or SDK
Connect your product and start identifying incoming traffic.
- 02
Receive traffic quality results
Get source-level results and trusted, suspicious or dangerous assessments.
- 03
Focus on better traffic
Find risky acquisition sources and protect your growth budget.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Make abuse visible.
Keep genuine users moving.
Start Free FAQ
Understand the evidence.
Put it to work.
What is ad fraud?
Ad fraud is activity that misrepresents genuine advertising engagement, such as automated visits or fake clicks that waste acquisition spend.
How does ShieldLabs help prevent ad fraud?
ShieldLabs detects bot traffic and shows traffic quality by channel, referrer and UTM campaign. Find sources bringing risky visits and protect your acquisition budget.
What does ShieldLabs analyze for ad fraud prevention?
Ad fraud detection here covers identified web visits after an ad click. Bot automation, masking, risk assessments and source attribution reveal invalid traffic reaching your site; ShieldLabs does not validate ad-network billing.
Does every repeated visit mean click fraud?
No. A return visit is not itself fraud. ShieldLabs separately provides ready-made bot detections, risk assessments and applicable account abuse detections.
Does ShieldLabs automatically refund invalid ad clicks?
The page’s workflows use traffic quality and risk evidence to support acquisition decisions. Ad-network billing adjustments and campaign changes are handled through your advertising workflows.
Can I see the campaigns bringing bots and risky signups?
Yes. Traffic quality is available by channel, referrer and UTM campaign. Bot and multi-accounting detections help identify risky activity associated with those acquisition sources.