Click Fraud Protection for Ecommerce
Protect your store's ad spend and ROAS from fake clicks, bot traffic and non-buying repeat visitors that never convert.
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Ecommerce ROAS depends on real shoppers reaching your product and category pages. Didva protects your paid traffic from bots, fake clicks and low-quality sessions, so your budget, and your conversion data, reflect people who can actually buy.
Stores running Google, Meta and Shopping campaigns attract more than buyers. Bots crawl product pages, click farms inflate traffic, and repeat non-buying visitors drag down conversion rate. The result is wasted spend, distorted ROAS and bidding that optimizes toward window-shoppers and bots.
Track → Score → Block → Report → Optimize
A closed loop that turns raw paid clicks into clean, defensible traffic data.
- 1
Capture
Log every paid click and session across Search, Shopping and social.
- 2
Flag
Surface bots, proxies and non-buying repeat visitors in real time.
- 3
Exclude
Cut high-risk sources and filter bot traffic before it spends budget.
- 4
Report
See which campaigns and products attract the most invalid traffic.
- 5
Protect ROAS
Keep fake sessions out of ROAS and bidding data.
Everything you need to protect paid traffic
Detection, blocking, alerting and clean reporting in one place.
Non-buyer scoring
Surface repeat, low-engagement visitors that never move toward checkout.
Bot and proxy detection
Identify automated traffic crawling your product and landing pages.
Clean ROAS data
Keep bots and non-buyers out of the conversion data your bidding learns from.
Traffic-quality reports
See invalid-traffic rates by campaign, product and source.
Source exclusions
Block high-risk IPs and filter bots across your 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, product, ad group and keyword
- IP address, ISP/ASN, geo and device
- Browser, user agent and automation fingerprints
- Repeat visits, session frequency and timing
- Engagement, product views and cart behavior
- Purchases, revenue and conversion quality
- 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 affect ecommerce stores?
Fake clicks and bot traffic spend budget without buying, inflate sessions, distort ROAS and push automated bidding toward low-quality traffic instead of real shoppers.
Does Didva work with Shopify stores?
Yes. Didva protects paid traffic to any store by connecting click and session data to campaigns and purchases, including Shopify-based shops.
Can it tell bots from real shoppers?
Didva scores each visit on IP and device, automation fingerprints, repeat behavior and engagement, surfacing bots and non-buyers with the reasons behind each flag.
Will it block real customers?
High-confidence threats are blocked automatically while borderline traffic is held for review, so genuine shoppers aren't excluded by mistake.
How does this improve ROAS?
By removing invalid clicks and keeping bots out of your conversion data, Didva makes ROAS reflect real buyers and helps bidding optimize toward them.
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
Spend your ad budget on real shoppers.
Didva blocks bots and fake clicks so your store's ROAS reflects people who actually buy.