Head-to-head · Click Fraud Software
Lunio vs TrafficGuard
Lunio leads on 0 checks, TrafficGuard on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreLunio · 8.8/10
- Free trialboth
Lunio scores higher on our rubric for click fraud software: 8.8 against 8.4 out of 10; our editors rank them #2 and #4.
On traffic reporting, Lunio gives you Advanced where TrafficGuard offers Basic.
Lunio is the better fit for teams protecting campaigns across many ad networks. TrafficGuard is the better fit for budget-conscious teams focused on Google Ads.
- Lunio fits best
Teams protecting campaigns across many ad networks
- TrafficGuard fits best
Budget-conscious teams focused on Google Ads
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Side by side
| Feature | Lunio 8.8/10 Visit ↗ | TrafficGuard 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.4 |
| Ranking | #2 in Click Fraud Software | #4 in Click Fraud Software |
| Best for | Teams protecting campaigns across many ad networks | Budget-conscious teams focused on Google Ads |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request · 14-day trial | $49/mo |
| Free plan | — | — |
| Free trial | 14 days | 30 days |
| Free trial length | 14 days | 30 days · card required |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Email, Docs | |
| Integrations | 9 integrations | 2 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Lunio 1/1 · TrafficGuard 1/1 | ||
| Automatic click blocking | ✓ | ✓ |
| Specs | ||
| Ad platforms supported | Google Ads, Bing/Microsoft Ads, Meta, Twitter/X, LinkedIn, Reddit, TikTok, Yandex, Naver | Google Ads, Meta Ads, affiliate, mobile app acquisition |
| Detection methods | Machine learning scoring using click, context, conversion, device, network, location, and post-click behavior signals | 200+ indicators, machine learning, click data, behavioural and site-tag data |
| Ad account limit | Not checked yet | 1 |
| Traffic reporting | Advanced | Basic |
| IP exclusion capacity | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Lunio detects, analyzes, and reduces invalid traffic across paid search, social, display, and other paid media campaigns. It scores clicks as legitimate, suspicious, or invalid with machine learning, using click, context, and conversion… Read the review → |
TrafficGuard is click-fraud and invalid-traffic detection software for advertisers, agencies, and enterprises. It analyzes clicks and behavioural signals, identifies suspicious sources, and can block or exclude invalid traffic. Detection… Read the review → |
Strengths and trade-offs
Lunio — where it wins
- Machine-learning scoring uses click, context, and conversion signals
- Click-level analytics by location, keyword, and placement
- Integrates with nine major ad platforms and supports exclusion audiences
Where it doesn't
- Pricing is customized through sales rather than published by plan
- The 14-day offer is a traffic audit, not a fixed subscription trial
- Automatic IP exclusion depends on support from each ad platform
TrafficGuard — where it wins
- Real-time detection uses 200+ indicators and machine learning
- Automatic Google Ads IP exclusions in Prevention mode
- Reports threats, campaigns, clicks, exclusions, and budget impact
Where it doesn't
- Shield covers one domain and monthly ad spend up to $30,000
- Shield’s trial operates in detection mode only
- Verified integrations center on Google Ads and Meta Ads
- Lunio8.8/10 · Pricing on request · 14-day trial
Machine-learning click scoring and nine ad-platform integrations for paid-media protection.
Visit LunioFull verdict → - TrafficGuard8.4/10 · 30-day trial
A low-cost Google Ads shield with real-time detection and automatic exclusions.
Visit TrafficGuardFull verdict →
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All click fraud software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






