Clickfraud
Clickfraud: Machine-learning click-fraud detection for Google Ads and Yandex campaigns. Ranked #20 of 30 in Click Fraud Software by our editors (6.4/10); pricing: 7-day trial; best for solo or small teams using Google Ads and Yandex.
At a glance
- Editor score6.4 / 10
- Pricing7-day trial
- Best forSolo or small teams using Google Ads and Yandex
- Free planNo
- Paid from$49/mo
- Automatic click blockingYes
- Facts checked23 Sep 2026
Where it wins
- Neural-network, machine-learning, behavioral, and cluster analysis
- Automatic harmful-visit blocking through ad-system IP exclusions
- Traffic, blocked-session, and estimated budget-savings reports
Where it doesn't
- Coverage focuses on Google Ads and Yandex platforms
- No free plan is available
- Support is offered by chat and email, not 24/7
Our verdict on Clickfraud
Clickfraud is a cloud service for monitoring website visits and identifying bots or suspicious advertising sessions. It is designed for advertisers who want to reduce low-quality or fraudulent traffic affecting Google Ads and Yandex campaigns. Detection combines neural-network and machine-learning analysis with behavioral factors such as site interactions, session length, and visit frequency. Cluster analysis, IP signals, ClientID, and browser fingerprints add further classification inputs.
Published pricing shows five monthly plans. Small costs $49 per month for traffic up to 10,000 visits; Medium costs $119 for 10,000 to 30,000 visits; Large costs $149 for 30,000 to 60,000; Extra Large costs $199 for 60,000 to 100,000; and XXL costs $250 for 100,000 to 200,000 visits. A 7-day free trial is available, but there is no free plan. The pricing page displays monthly-equivalent USD amounts while billing is deducted daily while protection is active. Plan distinctions are based on monthly traffic capacity rather than separate feature bundles.
Platform fit is the main consideration. Clickfraud integrates with Google Ads, Yandex.Direct, and Yandex.Metrica, can send suspicious-session reports through API connections, and supports automatic blocking through ad-system IP exclusions. Reports cover blocked sessions, IP addresses, advertising-platform traffic, and estimated budget savings, with daily delivery by email. Configurable sensitivity and behavioral rules give smaller teams control over detection, while chat and email provide support. Teams advertising beyond Google and Yandex, or requiring broader platform coverage and round-the-clock support, should consider alternatives; Clickfraud suits focused Google Ads and Yandex operations that value automated exclusions and detailed traffic reporting.
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Clickfraud pricing
All 5 Clickfraud plans and prices →
Clickfraud fact sheet
| Free plan | No |
|---|---|
| Paid from | $49/mo |
| Ad platforms supported | Google Ads; Yandex.Direct |
| Automatic click blocking | Yes |
| Detection methods | Machine-learning/neural-network analysis; behavioral factors; cluster analysis; IP, ClientID, and browser fingerprint signals |
| Ad account limit | Not verified |
| Traffic reporting | Advanced |
| IP exclusion capacity | Not verified |
| Free trial | 7 days |
| Deployment | Cloud |
| Platforms | Web |
| Support | Live chat, Email |
| Built for | Solo, Small business, Mid-market (editorial estimate) |
| Integrations | 3 integrations: Google Ads, Yandex.Direct, Yandex.Metrica |
| Pricing | 7-day trial (source) |
| Website | clickfraud.dev |
| Facts checked | 23 Sep 2026 |
Clickfraud integrations
Clickfraud lists 3 integrations on its own site.
- Google Ads
- Yandex.Direct
- Yandex.Metrica
Alternatives to Clickfraud
- ClickCeaseBroad, real-time ad-fraud protection for teams running campaigns across major ad platforms.9.2
- LunioMachine-learning click scoring and nine ad-platform integrations for paid-media protection.8.8
- Fraud BlockerDetailed fraud scoring and API access for teams managing multiple ad channels.8.6
See all Clickfraud alternatives →
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Featured on iTechGuides
Clickfraud is listed in our Click Fraud Software directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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