Instant detection & blocking
Review likely invalid activity and the supported response for the connected advertising platform. Detection, website filtering and an applied campaign action are separate stages.
Click fraud protection for Google, Meta & Microsoft Ads
Bots, click farms and repeated unwanted visits can waste advertising budget. MyClickShield uses advanced detection algorithms to identify invalid traffic in real time and help reduce wasted ad spend.
Today's overview
Last 24 hours · all sites
203.0.113.45USDatacenter botBlocked198.51.100.22DEVPN exit nodeBlocked192.0.2.91PHClick farmBlockedWorks with the tools you already use
01The hidden problem
Suspicious visits deserve a closer look when advertising costs rise without useful enquiries or orders. Review repeated clicks, automated activity and campaign context before choosing a response. Not every visit that leaves without converting is fraudulent.
02How we protect you
Our detection engine analyzes behavioral patterns, device fingerprints, network signatures, and dozens of data points to identify likely invalid traffic and automatically exclude it from your campaigns.
Review likely invalid activity and the supported response for the connected advertising platform. Detection, website filtering and an applied campaign action are separate stages.
Check the supported account and campaign controls for your advertising setup. Review integration status and applied actions in your connected account.
203.0.113.45Google AdsSynced198.51.100.22Meta AdsSynced192.0.2.91Microsoft AdsSyncedDetects headless browsers, automation tools, click farms, and sophisticated bots that evade traditional detection methods.
See exactly why each click was flagged or blocked. 30+ data points including IP reputation, device fingerprint, click timing patterns, VPN detection, geographic anomalies, and behavioral signals. Make data-driven decisions about your traffic quality.
Watch actual visitor behavior. See mouse movements, scrolling patterns, and click sequences to verify if traffic is human or automated.
Instantly identify users hiding behind VPNs, proxies, and data centers. Flag suspicious geographic anomalies that indicate fraud.
FIG. 02Detection engine views · illustrative data
03Simple setup
No technical expertise needed. Just add a small tracking code to your website and connect your ad accounts. We handle everything else automatically.
Copy a small JavaScript snippet to your website. Works with any platform - WordPress, Shopify, Wix, or custom sites. Takes less than 2 minutes.
Link your Google Ads, Meta Ads, or Microsoft Ads accounts with one-click OAuth. Review the requested permissions and verify each connection.
Our AI engine immediately starts analyzing every click. Combined behavioral and network signals help identify activity that needs attention.
Detected fraudsters are automatically added to your ad platform exclusion lists. Available controls vary by platform and campaign type; review their status in the connected account.
04Integrations
Seamless integration with major advertising and CMS platforms
05Why choose us
See how MyClickShield compares to default platform protection
| Feature | MyClickShieldIn addition to default protection | Google AdsDefault protection | MetaDefault protection |
|---|---|---|---|
| Evidence available | Website visit context | Platform reporting | Platform reporting |
| Action scope | Supported integration controls | Account and campaign controls | Supported event and audience controls |
| Review method | Inspect records and action status | Review account reports | Review account reports |
| Commercial evaluation | Your qualified outcomes | Your qualified outcomes | Your qualified outcomes |
7-Day Free Trial
Start with your own traffic. Use the trial to check the setup, inspect suspicious activity and evaluate the supported actions for your campaigns.
Official Google Ads, Meta and Microsoft Advertising API integrations — no charge during your 7-day free trial.
Cancel anytime. No long-term contracts.
More clicks should help you reach more customers. If spending rises while genuine enquiries or orders fall, start by checking where those visits come from and what happens on your website. Here are the checks that can help you find the cause.
Choose one affected campaign first. Save its dates, spend and useful results, then check the landing page and a sample of visits. Working on a specific problem makes it easier to decide what to change and whether the change helped.
If your ads are getting clicks but few enquiries or orders, check the customer experience first. Open an affected ad's destination on your phone. Is the offer still available? Does the page load quickly? Can you submit the form or finish checkout? Check the search terms and locations bringing visitors, too. Someone searching for a free template is unlikely to buy a paid service, even if the click is genuine.
Next, narrow the problem to a campaign, landing page and date range. Look for repeated visits, unusual bursts or activity that stops at the same point every time. Compare these visits with enquiries your team has accepted or orders your shop has received. Save a few examples before changing settings. You'll then have something specific to investigate: an irrelevant keyword, a broken page, or a group of visits that needs closer inspection in MyClickShield.
A customer can click an ad, browse your site and return tomorrow to buy. They might also call you instead of completing a form. When you compare clicks with sales, allow for the way people actually buy from you. For a plumber, answered calls may matter most. For a shop, start with paid orders. For a software company, look at demos attended as well as forms submitted.
Choose one campaign and follow its visitors through the landing page and the next step. If many clicks never become recorded visits, check redirects, loading errors and tracking consent. If people reach the page but leave at checkout, test delivery options and payment. If enquiries arrive but your team cannot reach anyone, inspect those submissions and their associated visits. Working through these stages helps you find the point that needs attention before changing a campaign that may be attracting the right customers.
Open an example flagged visit and check when it happened, which campaign brought it and what the visitor did. Several visits from one address may deserve a closer look, but offices and mobile networks can share addresses. A customer researching a costly purchase may also return repeatedly. The visit's timing and behaviour help you judge whether the flag makes sense.
Then check what happened after the flag. Was the visit recorded for review? Was access restricted on the website? Was an available action sent to an advertising account? Check the status shown for your setup. If you cannot explain a particular decision, save its date, campaign and record details for support. Looking closely at a few examples is a useful way to learn the dashboard, spot a configuration problem and decide whether a rule needs adjusting before you apply it more widely.
Suppose a campaign suddenly receives more clicks without more enquiries. Before investigating, you only know that costs have risen. Pausing the campaign may stop the spending, but it can also stop genuine customers reaching you. Start by noting the affected dates and checking whether you changed the budget, targeting, offer or landing page around that time.
Next, inspect the traffic source and a few visits from the affected period. Test the enquiry form yourself. If you find a page problem, repair it. If a particular group of visits looks suspicious, review the available protection settings for that campaign and record the change you make. Afterwards, watch both the suspicious activity and genuine enquiries. This before-and-after example shows how to narrow the response. To assess your own result, compare similar days and keep other campaign changes in the record so you can see what helped.
There are several possible responses to a suspicious visit. The system can record it for review, apply a supported website action or send an available exclusion to a connected advertising account. The option depends on the integration and campaign. Check which response your setup uses before judging the result from a dashboard total.
A website block happens after a visitor has reached your site. It cannot undo the original ad click. An advertising exclusion is intended to affect later ad delivery, subject to that platform's rules. Check whether the action was applied successfully and whether the account connection needs attention. If you manage Google, Meta and Microsoft campaigns, review each connection separately; their controls differ. For an unresolved case, give support the campaign type, approximate time and action status. Those details make it easier to find out whether you need to adjust a setting, reconnect an account or investigate the visit further.
A real customer might browse through a company network, use a VPN or switch from Wi-Fi to mobile data. Several people can also share one public IP address. These situations matter when you review repeated visits or a network-based flag. If you tighten a rule, check a sample of the affected visits and confirm that ordinary enquiries or purchases still work.
When someone reports a problem, ask which page they tried to use and approximately when it happened. Compare that information with the visit record before changing a broad account setting. Check whether an exclusion or website rule caused the problem, then adjust the relevant setting if needed. Keep a note explaining any exception so the next person managing the account understands it. Include staff, your agency and tools your website relies on in your checks, especially after installing protection or changing a site's forms and checkout.
Your advertising account and website analytics count different things. A visitor can click twice during one session, leave before a slow page loads or decline analytics cookies. A redirect can also remove campaign parameters. Start by checking these possibilities when the numbers do not match; the difference alone cannot tell you how many clicks were fraudulent.
Use the same date range and time zone in both reports. Check that you selected the same campaign and landing page, and allow for reporting delays. Open the actual destination URL and follow any redirects to see whether its campaign information is kept. If an enquiry becomes a sale several days later, include that delay when reviewing results. For recurring discrepancies, save a specific example with the click time and destination. It will give the person maintaining your tracking a much clearer starting point than a screenshot of two unexplained totals.
Before changing protection settings, save a report for the campaign you want to improve. Include its spend, clicks, landing pages and useful results: qualified calls, accepted enquiries or paid orders. Note the existing exclusions as well. Choose dates that reflect your normal business. A weekend promotion will usually bring different visitors from an ordinary Tuesday.
Keep a short note of changes during the trial, including new ads, budget increases, promotions and website edits. If sales improve after several changes at once, that note will help you understand what may have contributed. Check lead quality with the people answering calls or handling enquiries; a larger form-submission count can conceal more unsuitable requests. With a low-volume campaign, you may need longer to judge the effect on sales. You can still use the first week to confirm that tracking works, reports make sense and the right account is connected.
Start with what you were actually charged and the results your business received. A flagged visit does not automatically equal a paid click. Your advertising platform may already have filtered or credited some invalid activity. Check its reporting and billing adjustments before adding up a claimed saving from the same visits.
For a practical comparison, look at spend per qualified enquiry or paid order before and after the change. Include the subscription fee and the time you spend reviewing traffic. For example, if ten flagged visits are multiplied by a $4 average click price, the resulting $40 is an estimate of possible exposure, not proof of a $40 refund. Keep estimates labelled and explain the calculation. A useful review should show whether your account is producing better-quality enquiries or orders for its overall cost, with promotions, bid changes and other adjustments taken into account.
Start your report with the campaign, dates and question you investigated. For example: enquiries fell after a new placement started sending traffic. Show the change in spend and qualified enquiries, then add a few visits that explain why you investigated that source. Include the action taken and any question that still needs an answer.
If the report goes to a client, explain unfamiliar terms the first time you use them. They should be able to see what happened without interpreting a list of IP addresses. Keep the detailed records available for the person checking the account. Where a change has been made, say when you will review its effect and what you will compare. A short report with a specific follow-up is easier to use in a campaign meeting than a long list of blocked visits with no explanation of how customers or advertising costs were affected.