Detect Click Fraud | Statcounter Support

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class="category-title-container"><span>FAQ<svg viewBox="0 0 9 6" style="background-color:#ffffff00" xmlns="http://www.w3.org/2000/svg" width="9px" height="6px"> <path d="M 7.6611 0 L 4.5005 3.481 L 1.3389 0 L 0 1.4118 L 4.3514 6 L 4.5005 5.821 L 4.6486 6 L 9 1.4118 L 7.6611 0 Z" fill="#ffffff"/> </svg></span></div><ul> <li id="nav-knowledge-base-general"><a href="/support/faq/">General</a></li> <li id="nav-knowledge-base-installation"><a href="/support/faq/?filter=Installation">Installation</a></li> <li id="nav-knowledge-base-configuration"><a href="/support/faq/?filter=Configuration">Configuration</a></li> <li id="nav-knowledge-base-upgrade"><a href="/support/faq/?filter=Upgrade">Upgrade</a></li> <li id="nav-knowledge-base-bugs"><a href="/support/faq/?filter=Bugs">Bugs</a></li> <li id="nav-knowledge-base-statistics"><a href="/support/faq/?filter=Statistics">Statistics</a></li> <li id="nav-knowledge-base-billing"><a href="/support/faq/?filter=Billing">Billing</a></li> <li id="nav-knowledge-base-forum"><a href="/support/faq/?filter=Forum">Forum</a></li> <li id="nav-knowledge-base-definitions"><a href="/support/faq/?filter=Definitions">Definitions</a></li> <li id="nav-knowledge-base-advertising"><a href="/support/faq/?filter=Advertising">Advertising</a></li> </ul></li><li id="nav-contact" class="category"><a href="/support/contact/"><span>Contact Us</span></a></li></ul></div><div class="col col-span-8"><div class="panel padded-panel"><h1>Detect Click Fraud</h1> <p>Detect fraudulent clicks on your ads and claim refunds from your ad networks to see a better return on your digital advertising spend.</p> <h2>What is click fraud?</h2> <p>Click fraud occurs when an individual or an internet bot makes repeated clicks on your pay-per-click adverts to generate fraudulent charges for you, the advertiser. The intention behind this activity is to increase your advertising costs, lower your conversion rate and ultimately make it more difficult for you to see a return on your digital advertising spend.</p> <p>The World Federation of Advertisers (WFA) estimates that ad fraud will cost advertisers in excess of $50 billion by 2025.</p> <p>The perpetrators of click fraud on ads published by small and medium sized businesses are mostly from competitors trying to use up your advertising budget and to a lesser degree from disgruntled customers with an axe to grind. Since it's not in the interest of the ad networks to highlight this problem and lose revenue, you are mostly left to your own devices to detect and report evidence of fraudulent clicks and make a case for reimbursement.</p> <h2>What's the solution?</h2> <p>Fortunately, Statcounter has a number of tools that can help you detect and provide evidence of click fraud, helping you to decrease your digital advertising spend and increase your pay-per-click conversion rate. In this guide we'll outline the steps you need to take.</p> <h2>Paid Traffic Report</h2> <p>The Paid traffic report in Statcounter displays the number of paid clicks per IP address and additionally, the Internet Service Provider (ISP) and Average Visit Time for each IP Address. From this information you can detect click fraud in a few simple steps.</p> <p><img src="/images/support/paid_traffic_report_lg.png"></p> <br> <ol> <li>While logged in to Statcounter, visit your <a href="/">Projects</a> page and select the relevant project.</li> <li>Select <strong>Reports</strong> from the left navigation sidebar.</li> <li>In the <strong>Paid Traffic</strong> widget, select <strong>View Report</strong>.</li> <li>Look for IP addresses with more than a couple of ad clicks.*</li> </ol> <br> <p>* In some circumstances, multiple ad clicks from a single IP address can be genuine. For example, if you have a high volume of customers from the same organisation or from the same part of the country. </p> <h2>Visit Lengths Report</h2> <p>Unusually short visits to your website can be an early warning sign of invalid ad click activity. Visit lengths of under 5 seconds are clear to see on the Visit Lengths report.</p> <p><img src="/images/support/visit_length_report_lg.png"></p> <br> <ol> <li>While logged in to Statcounter, visit your <a href="/">Projects</a> page and select the relevant project.</li> <li>Select <strong>Reports</strong> from the left navigation sidebar.</li> <li>In the Engagement widget, select <strong>Visit Lengths</strong> and check for a high number of visits under 5 seconds.</li> <li>Select <strong>View Report</strong>.</li> <li>In the Visit Length table, on the top row for 'Less than 5 secs', select the number in the Page Views column on the right.</li> <li>You can then <a href="/support/filter-your-reports/">filter</a> these visits by paid traffic.</li> </ol> <br> <h2>Visitor Locations Report</h2> <p>A high number of clicks from unexpected countries, cities or ISPs can point to suspicious activity.</p> <br> <ol> <li>Select <strong>Reports</strong> from the left navigation sidebar.</li> <li>In the <strong>Locations</strong> Widget, check the Country, State/Region, City and ISP tabs for high numbers of clicks from locations that wouldn't normally fall into your visitor demographic.</li> <li>Use these insights to restrict where your ads are being shown in the admin section of your ad network (i.e. Facebook Ad Manager, Google Ads).</li> </ol> <br> <p><img src="/images/support/country_report.png"></p> <h2>Label Suspicious IP Addresses</h2> <p>Visitor Labels enable you to add descriptive information about your visitors to help you track them as they visit, leave, and return to your site. You can use Labels to store notes, business names, customer IDs, and more. Labels are also a great way to tag an IP address you suspect is generating invalid clicks on your ads. You can then <a href="/support/filter-your-reports/">filter your reports</a> to only show traffic from an individual labeled visitor.</p> <h2>Set Visitor Alerts</h2> <p>Once you have identified and labelled a visitor you suspect as a click fraudster, you can set Statcounter to alert you via email or mobile notification each time they return to your website.</p> <p>See our guide to <a href="/support/add-visitor-labels-and-alerts/">adding visitor labels and alerts</a> in Statcounter.</p> <h2>Submit the evidence</h2> <p>Now that you have evidence of invalid ad click activity, you can use the Export tool in any of your Statcounter reports to save a CSV file of your findings. This CSV file can be opened in any spreadsheet application for further analysis and editing before sending to your ad networks for reimbursement.</p> <h2>Related Articles</h2> <p><a href="/support/filter-your-reports/">Why you need StatCounter if you use Google Adwords</a><p><div id='social-and-feedback'> <div class="row clearfix"> <div class='col col-span-6'><div class="addthis_inline_share_toolbox_2utb"></div></div><div class='col col-span-6'><ul class='section-feedback'><li>Did you find this article useful? <div class='btn-feedback-container'><span class='btn-feedback yes'>Yes<svg id="Untitled-Page%201" viewBox="0 0 21 19" style="background-color:#ffffff00" version="1.1" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" x="0px" y="0px" width="21px" height="19px" > <g id="Layer%201"> <path d="M 19.1719 12.6013 C 19.5781 12.1121 19.4973 11.3496 19.4854 11.0542 C 19.4734 10.7598 19.2211 10.3784 19.1072 10.4463 C 18.9934 10.5137 18.2917 10.667 18.2917 10.5869 C 18.2917 10.5078 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