Fake Lead Prevention for PPC Campaigns
Stop fake leads from wasting your sales team's time and corrupting campaign optimization, by tying lead quality back to the click that created it.
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A fake lead costs more than a fake click. It wastes sales time and teaches your campaigns to find more of the same. Didva prevents fake leads from corrupting paid optimization by connecting each lead's quality back to the click, source and behavior that produced it.
Lead-gen campaigns are a magnet for junk: bot form-fills, spam submissions and incentivized garbage. These fake leads flow into your CRM, get counted as conversions, waste SDR follow-up, and tell Smart Bidding to chase the sources that produced them.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Connect
Tie every lead to the click, source and session behind it.
- 2
Flag
Surface bot form-fills, spam and low-quality submissions in real time.
- 3
Filter
Keep junk leads out of your CRM and conversion signals.
- 4
Report
See which sources produce real leads versus fakes.
- 5
Feed clean data
Send only genuine leads back into bidding.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Junk-lead scoring
Flag bot form-fills, spam submissions and incentivized garbage.
Lead-source attribution
Tie every lead's quality back to the click and source that created it.
Protected optimization
Let bidding learn from real leads instead of junk.
Source evidence
See which sources produce genuine leads versus fakes, with detail.
Lead filtering
Keep fake leads out of your CRM and conversion data.
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
- Form-fill timing, duplication and session behavior
- Lead and account quality signals
- Downstream conversion and sales outcomes
- 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
What is fake lead prevention?
Fake lead prevention stops junk submissions (bot form-fills, spam and incentivized leads) from entering your CRM and corrupting the conversion data your campaigns optimize on.
How does Didva detect fake leads?
Didva connects each lead to the click and session behind it and scores signals like form-fill timing, duplication, bot fingerprints and source quality to flag fakes.
How is this different from conversion fraud detection?
Fake lead prevention focuses on stopping junk leads from reaching your CRM and sales team; conversion fraud detection focuses more broadly on detecting fraudulent conversions and protecting bidding signals.
Does it integrate with my CRM or forms?
Didva ties click and session data to your lead and conversion events so you can see and filter lead quality by source.
Why does fake lead prevention improve performance?
Removing junk leads saves sales time and keeps Smart Bidding focused on the sources that produce real prospects.
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
Stop paying for leads that go nowhere.
Didva ties lead quality back to its source and keeps fake leads out of your CRM and bidding.