Bot Traffic: How Small and Medium-Sized Businesses Can Identify Invalid Clicks and Protect Their Marketing Data

For many small and medium-sized businesses, digital advertising has long been part of everyday life. Companies run search ads, promote their services on social media, or invest in display campaigns to increase their online visibility and attract new customers. Clicks, website visits, and reach are often seen as key indicators of whether a campaign is working. But these very metrics can be misleading: Bots click on ads, generate website visits, or fill out forms—thereby skewing the results that companies use to manage their advertising budgets.

According to analyses by Fraud0, a provider of bot and ad fraud detection services, the proportion of so-called invalid traffic averages around 21 percent. Frank Schieback, CMO of Sellwerk, and Oliver Kampmeier, Marketing Manager at Fraud0, explain in their guest article why bot traffic can become a cost and data problem for small and medium-sized businesses and how companies can detect suspicious traffic.

Paid search is relatively clean, while display advertising is significantly more prone to issues

This issue becomes particularly relevant when it comes to paid traffic. Across paid channels, the proportion of invalid traffic averages in the low double digits. Paid search—that is, paid search ads on platforms like Google—is comparatively clean, at around six percent. Display and programmatic campaigns are significantly more susceptible: there, the average proportion of invalid traffic is around 20 percent.

Display campaigns are ads that appear on websites, in apps, or on ad networks. Programmatic advertising refers to the automated purchase of such ad space. It is precisely this area that is particularly attractive to fraudsters: they can create fake websites, generate artificial traffic, and sell ad space. Artificial intelligence can further accelerate this trend, as it becomes increasingly easy to automatically generate content, page structures, and seemingly genuine user behavior.

For small and medium-sized businesses running campaigns, distinguishing between low-cost clicks and valuable traffic is crucial. Many companies compare channels primarily based on reach, cost per click, or website visits. However, a low-cost click isn’t automatically a good click. Campaigns should therefore be evaluated not only based on volume, but also on whether they generate genuine demand—such as inquiries, appointment bookings, contact requests, or qualified leads.

A budget shortfall is only part of the problem

The damage caused by bot traffic is twofold. First, advertising budget is lost directly: If about 20 percent of the traffic is invalid, a correspondingly significant portion of the budget may be affected. Second, bots distort the data used to evaluate and optimize campaigns—including analytics data, conversion rates, audience profiles, and retargeting lists.

A conversion rate shows how many website visitors perform a desired action, such as submitting a form, booking an appointment, or purchasing a product. However, if bots are included in this analysis, a campaign’s actual performance may appear better or worse than it really is. This becomes particularly problematic with automated campaign types like Google Performance Max. Such systems use existing data to automatically serve ads and allocate budgets. If invalid traffic enters target audiences or so-called lookalike audiences, in the worst-case scenario, the systems will optimize based on false signals and divert additional budget to low-quality traffic.

From a small-to-medium-sized business perspective, this point is crucial: Many companies don’t have their own large marketing department and must evaluate campaigns based on a few key metrics. If these metrics are skewed by invalid traffic, future decisions become uncertain: Which ad is actually effective? Which target audience generates leads? Which channel deserves a larger budget?

How Companies Can Identify Bot Traffic

Bot traffic isn’t always immediately apparent. Often, the numbers even look positive at first: more visits, more clicks, greater reach. It’s only when you look at the quality that it becomes clear whether this activity is actually relevant to your business. Signs of invalid traffic include extremely short session durations on the website, minimal interaction with content or forms, unusually steady traffic patterns without natural fluctuations, and a high number of website visits from countries outside the actual target region. Very low cost per impression or cost per click without corresponding inquiries, many clicks but hardly any contact requests or purchases, and a rising number of irrelevant leads can also indicate bot traffic.

Whether a company is affected depends less on its industry than on traffic sources, campaign settings, billing models, and expertise. When advertising is purchased based on reach, it primarily results in invalid impressions. If campaigns are based on clicks, clicks are also artificially generated. If campaigns are based on leads, fake leads can result.

Those who systematically detect bot traffic can manage future campaigns more precisely. For the first time, bot detection allows companies to see which portion of their data actually comes from real users, enabling them to exclude bot audiences from future campaigns and, in some cases, reclaim money already paid for invalid clicks. Google provides its own form for this purpose to check click quality.

Conclusion: Quality over click count

Bot traffic does not inherently render digital advertising ineffective, but it does change the perspective from which it is evaluated. For small and medium-sized businesses, it is not enough to manage campaigns based solely on reach, cost per click, or website visits. What matters most is whether the traffic generates genuine demand and whether the data remains reliable. Those who regularly check their campaigns for invalid traffic not only protect their advertising budget—they also prevent future marketing decisions from being based on false signals. Ultimately, it is not the sheer volume of clicks that counts, but the quality of the leads that result from them.

About Frank Schieback: Frank Schieback is Head of Brand Communication and Chief Marketing Officer at Sellwerk, a member of the Müller Medien family of companies. For more than two decades, he has been creating results-driven solutions for small and medium-sized businesses—ranging from optimizing the classic Yellow Pages directory to developing digital presences for SMEs. About Oliver Kampmeier: Oliver Kampmeier is a marketing manager at Fraud0, where he focuses on digital marketing and ad tech. Previously, he worked in marketing at Microsoft, among other roles. He regularly contributes as an author and expert to industry publications such as Horizont, Adzine, and OnlineMarketing.de.

Source and further information: www.sellwerk.de