Unpacking the sources of irrelevant, multilingual lead submissions from paid media campaigns.
In Brief
Receiving fake leads in a foreign language from a Google Ads campaign is a strong indicator of automated bot traffic or sophisticated click fraud, not genuine human error. These automated systems operate from global networks, using IP addresses from various countries and submitting form data in random languages to mimic diverse user activity and circumvent basic fraud detection filters.
This issue is frequently compounded by overly permissive location targeting settings within the ad platform itself. While bots are the primary actors, campaign configurations can inadvertently create vulnerabilities that these fraudulent sources exploit, leading to wasted ad spend on entirely invalid submissions that have no commercial potential.
What to Know
The primary driver of multilingual fake leads is automated bot traffic. These bots are not real users but software scripts designed to perform specific actions, such as clicking on paid media ads and submitting lead forms. They often operate from data centers and compromised devices located all over the world. To evade simple IP-based blocking, they utilize virtual private networks (VPNs) and proxy servers to mask their true origin, making it appear as though traffic is coming from within your target region. Because these bots are part of global networks, the data they use to fill forms—names, emails, and messages—is often scraped from international sources or randomly generated, resulting in the appearance of various foreign languages. This activity is purely fraudulent, designed to deplete PPC budgets for the financial gain of the botnet operator.
A critical vulnerability that fraudulent actors exploit is the default location targeting option in Google Ads: “Presence or interest: People in, regularly in, or who’ve shown interest in your targeted locations.” The “interest” component is problematic because it allows your ads to be shown to users physically outside your target area if their search behavior indicates an interest in it. For example, a bot operating from a server in Brazil could perform searches for “real estate agents in Miami” to signal interest, become eligible to see your ad, and then submit a fake lead. This setting significantly widens the attack surface for bot traffic. Shifting the setting to “Presence: People in or regularly in your targeted locations” is a fundamental step in reducing exposure to this type of invalid activity, ensuring ads are primarily served to users physically within the desired geography.
If your campaign extends to the Google Display Network (GDN) or its search partner network, you introduce another significant vector for fake leads. These networks consist of millions of third-party websites and apps where your ads can appear. While many publishers are legitimate, a subset engages in ad fraud by placing ads on low-quality sites and using bots to generate clicks and form submissions. This is done to collect ad revenue from advertisers. These bots are often unsophisticated and fill forms with gibberish or foreign-language text. The sheer scale of the display network makes manual oversight impossible, and without a robust bot mitigation strategy, a portion of your budget will inevitably be consumed by this type of invalid traffic originating from placements you would never consciously approve.
Beyond simple bots, organized fake lead operations deploy more advanced tactics. They use distributed botnets—networks of thousands of compromised computers—to simulate genuine human behavior across different devices, browsers, and locations. These systems can mimic mouse movements, keystrokes, and browsing patterns to appear legitimate to Google’s standard filters. The form submissions from these operations may appear more realistic than simple gibberish but are still entirely fraudulent. The use of multiple languages is a deliberate tactic to create noise and make the fraudulent traffic pattern harder to distinguish from legitimate global user interest. These schemes are designed specifically to target high-value keywords in competitive PPC markets, draining budgets through a high volume of invalid clicks and fake leads.
The consequences of receiving multilingual fake leads extend beyond wasted ad spend. This influx of junk data severely compromises the integrity of your marketing analytics. When your CRM and analytics platforms are filled with invalid submissions, it becomes impossible to accurately measure key performance indicators like cost per acquisition (CPA) and conversion rate. Machine learning algorithms, such as Google’s Smart Bidding, rely on clean conversion data to optimize campaigns. When fed a stream of fake conversions from bot traffic, these algorithms make poor decisions, allocating budget to fraudulent sources and further degrading campaign performance. Cleaning this data is a manual, time-consuming process, and failing to do so leads to flawed strategic decisions based on a distorted view of what is actually driving results.
Real Example
A national mortgage lender in the United Kingdom launched a high-budget Google Ads campaign targeting prospective homebuyers exclusively within England. They accepted the default location setting (“Presence or interest”) and allocated a significant portion of their spend to broad match keywords related to mortgage applications. Within weeks, their sales pipeline was flooded with hundreds of lead form submissions.
The submitted data contained names and messages in Russian, Vietnamese, and Arabic, along with disposable email domains and phone numbers with incorrect country codes. An investigation using a click fraud detection platform revealed that over 30% of their clicks originated from IP addresses routed through proxies and data centers outside the UK. The bots were systematically targeting the lender’s broad keywords to generate fraudulent conversions, completely wasting the ad spend and overwhelming the qualification team with useless data. This forced the company to pause its campaigns until a proper bot mitigation solution was implemented, demonstrating how easily a well-funded campaign can be derailed by invalid traffic without precise targeting and protection.
Bottom Line
Receiving fake leads in languages you do not operate in is a definitive sign of automated fraud, not a quirk of international markets. This activity is driven by bot traffic and click fraud schemes designed to exhaust your PPC budget. It is a technical problem that requires a technical solution, as these automated threats are engineered to bypass the standard filters provided by ad platforms. Relying solely on Google’s native tools is insufficient for protecting ad spend against determined fraudulent actors.
Proactive bot mitigation and rigorous campaign hygiene are essential. This includes enforcing strict “Presence” location targeting, regularly reviewing placement reports from the Display Network, and employing a dedicated fraud detection system to identify and block invalid clicks in real time. Ignoring these signals results in financial loss, corrupted marketing data, and inefficient campaign optimization. Addressing the root cause of these fake leads protects not only the budget but also the integrity of the entire marketing operation.