Didva vs Fraud Blocker

Caught a click-farm pattern our previous tool missed and cut wasted spend within the first month.

Setup was a single snippet. The evidence export made our Google Ads refund request painless.

Clear per-IP reasons and a review queue so we are not blocking real customers. Exactly what we needed.

Datacenter and repeat-click detection paid for itself fast. Reporting is clear enough to share with clients.

We manage campaigns across several clients and the dashboard quickly highlighted traffic patterns we would have otherwise missed.

Simple setup, useful alerts, and enough detail to investigate suspicious visitors without involving developers.

The product delivered value quickly. I would like a few more filtering options, but the core detection features work well.

The manual review queue helped us avoid blocking legitimate visitors while still dealing with suspicious traffic.

The IP-level evidence makes client conversations much easier. Instead of assumptions, we can show actual data.

One of the cleaner interfaces we have used in the ad fraud space. Reports are easy to understand.

Within the first week we found a source of repeated clicks that had been consuming budget for months.

Useful notifications, clear reasoning, and very little noise. Most flagged visits deserved attention.

We mainly wanted better visibility into traffic quality. The platform delivered exactly that.

I like that every flag includes supporting details. It builds confidence in the decisions being made.

We tested several tools and this was the easiest one to explain to both clients and team members.

Good balance between automation and transparency. Nothing feels hidden behind a black box.

The repeat-click reports helped us identify unusual traffic spikes during a competitor campaign launch.

Client reporting became much easier once we started including the exported traffic quality reports.

Strong product overall. A few advanced reporting features would be nice, but detection accuracy has been solid.

The value was obvious after the first couple of weeks. We now review suspicious traffic as part of our regular workflow.