Click Fraud Protection for SaaS Companies
Protect paid acquisition from fake clicks and bot sign-ups so your trials, demos and pipeline data reflect real prospects.
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For SaaS, the cost of click fraud isn't just wasted clicks. It's polluted pipeline data. Didva protects paid acquisition from bots, fake clicks and junk sign-ups, keeping your trials, demo requests and CRM clean so growth decisions are based on real demand.
SaaS teams optimize toward conversions like trials and demos. When bots and click farms generate fake sign-ups, those fake conversions feed Smart Bidding, inflate top-of-funnel metrics, and waste SDR time chasing leads that never had intent. The damage runs straight into your pipeline data.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Connect
Tie every paid click to the trial or demo it leads to.
- 2
Flag
Surface bots, proxies and junk sign-ups in real time.
- 3
Exclude
Cut high-risk sources and filter automated traffic.
- 4
Report
See which campaigns drive real trials versus fake sign-ups.
- 5
Protect pipeline
Keep fake conversions out of bidding and pipeline reporting.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Junk-signup scoring
Surface bot and low-quality sign-ups before they enter your CRM.
Acquisition monitoring
Connect every paid click to the trial, demo or sign-up it produces.
Clean pipeline data
Keep fake trials and demos out of bidding and revenue reporting.
Conversion evidence
Document which sources produce real versus fake conversions.
Source exclusions
Block high-risk IPs and filter automated traffic from paid campaigns.
See Didva in action
Real-time monitoring, risk scoring and one-click evidence — in a single dashboard.
What Didva tracks on every paid visit
Each click is scored against dozens of signals, then tied back to the campaign, keyword and conversion it belongs to.
- Campaign, ad group, keyword and landing page
- IP address, ISP/ASN, geo and device
- Browser, user agent and automation fingerprints
- Repeat activity, session frequency and timing
- Trial, demo and sign-up conversions
- Lead and account quality signals
- Risk reason, confidence level and recommended action
What advertisers say
Real feedback from teams protecting their paid traffic with Didva.
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.
Ready to see which clicks are real? Start protecting your paid traffic in minutes.
Start Protecting Your AdsFrequently asked questions
How does click fraud hurt SaaS companies?
Beyond wasted clicks, fake sign-ups pollute your conversion data: feeding Smart Bidding the wrong signals, inflating funnel metrics and wasting SDR time on leads with no intent.
Can Didva detect fake trials and demo requests?
Yes. Didva ties paid clicks to the trials and demos they produce and scores the sources, surfacing bot and junk sign-ups before they distort your pipeline.
Does it integrate with our funnel?
Didva connects click and session data to your conversion events, so you can see which paid sources drive real trials versus fake ones.
Will it block real prospects?
High-confidence threats get excluded automatically, while anything borderline waits for a human decision, so a real prospect never gets caught in an automated block.
Why does this matter for automated bidding?
Smart Bidding learns from conversions. If fake sign-ups get in, it optimizes toward fraud. Keeping them out keeps acquisition focused on real demand.
See how much of your traffic is real
Tell us your site and we'll show you where invalid clicks are draining your budget.
Related solutions
Keep your pipeline data honest.
Didva blocks fake clicks and junk sign-ups so your trials, demos and bidding reflect real prospects.