Head-to-head · Click Fraud Software
Lunio vs Didva
Lunio leads on 0 checks, Didva on 1, and 1 is 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 planonly Didva
- Free trialonly Lunio
Lunio scores higher on our rubric for click fraud software: 8.8 against 7.7 out of 10; our editors rank them #2 and #7.
Didva offers free plan; Lunio doesn't.
Lunio is the better fit for teams protecting campaigns across many ad networks. Didva is the better fit for teams wanting a free starting point and review workflow.
- Lunio fits best
Teams protecting campaigns across many ad networks
- Didva fits best
Teams wanting a free starting point and review workflow
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Side by side
| Feature | Lunio 8.8/10 Visit ↗ | Didva 7.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 7.7 |
| Ranking | #2 in Click Fraud Software | #7 in Click Fraud Software |
| Best for | Teams protecting campaigns across many ad networks | Teams wanting a free starting point and review workflow |
| Pricing model | Paid | Free plan + paid |
| Starting price | Pricing on request · 14-day trial | $39/mo |
| Free plan | — | ✓ (best) |
| Free trial | 14 days | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Email, Docs | |
| Integrations | 9 integrations | 3 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Lunio 1/1 · Didva 1/1 | ||
| Automatic click blocking | ✓ | ✓ |
| Specs | ||
| Ad platforms supported | Google Ads, Bing/Microsoft Ads, Meta, Twitter/X, LinkedIn, Reddit, TikTok, Yandex, Naver | Google Ads, Microsoft Bing Ads, Meta Ads (Facebook and Instagram) |
| Detection methods | Machine learning scoring using click, context, conversion, device, network, location, and post-click behavior signals | IP/ASN reputation; device and automation fingerprinting; click timing; repeat-click/session-frequency analysis; engagement and conversion outcome signals |
| Ad account limit | Not checked yet | Not checked yet |
| Traffic reporting | Advanced | Advanced |
| 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 → |
Didva monitors paid clicks across Google Ads, Microsoft Bing Ads and Meta Ads, scoring traffic with IP and ASN reputation, device fingerprinting, timing, repeat behavior and engagement signals. It suits small businesses, growing… 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
Didva — where it wins
- Click-level evidence includes risk reasons and confidence levels.
- Free Watchtower plan includes detection across all ad channels.
- Alerts, reports, CSV evidence exports and conversion-data filtering.
Where it doesn't
- Watchtower relies on manual IP blocking and weekly digest emails.
- Deployment is cloud-based with web access.
- Support is provided through email; white-labeling starts on Agency.
- 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 → - Didva7.7/10 · Free plan
A free-to-start click-fraud monitor with review controls, alerts and paid automation.
Visit DidvaFull 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






