Ad Fraud

click integrity monitoring a shield against click fraud

Click Integrity Monitoring- A Shield Against Click Fraud

Every click and impression counts! The dynamic landscape of digital advertising requires advertisers to maintain the integrity of ad campaigns. It might seem an uphill battle to optimize performance and safeguard the ad spend but proactive monitoring and fortifying their ad campaigns can protect them from menace like click fraud and spamming threats. The burning question here is – are these efforts enough? Do they protect against ever-evolving sophisticated threats? Is it building trust and transparency along with preventing wastage of ad spending? Let’s explore! Click Integrity Monitoring to Reducing Spamming and Click Fraud Consider the scenario – You’re running a digital ad campaign targeting users in India. But, you notice a surge in clicks that seem too good to be true. If you have an efficient click validation mechanism in place, you will uncover the sinister truth – click spamming is at play. Imagine the horror – if you don’t have such capability! The deceptive practice of generating invalid clicks on ads with malicious intent and you were making payout for these invalid clicks and impressions. Fig. 01: Checks via Click Integrity Click fraud poses a significant threat to advertisers worldwide from India to Southeast Asia (SEA) and the United States, no corner of the digital landscape is immune to this menace. Advertisers need to fortify their defenses and prevent the wastage of advertising budget. An active ad fraud detection that monitors clicks and impression integrity enables you to mitigate fraudulent clicks, safeguarding your brand’s reputation and preserving your ad budget. Building Trust Through Transparency to Prevent Click Fraud Trust is the currency that fuels success. Advertisers seek transparency and accountability from their partners. The goal is clear – They need optimal results from their advertising efforts and enhanced ROI on ad spend. Consider a scenario –  you’re a brand operating in the competitive landscape of the United States, where click fraud and spamming tactics run rampant. Your ad campaign is gaining traction, but you suspect foul play behind the scenes as invalid clicks are ruining your ad campaign performance metrics. Monitoring your click integrity empowers advertisers to thrive in such scenarios. Brands need a multi-level, defense mechanism across the funnel to meticulously track and validate ad impressions and clicks. Case Study: Major EdTech Player in India Analysis period in February 2023 started running a performance campaign to acquire new customers monitored by mFilterIt ad traffic validation solution. They were able to identify fake clicks and safeguarded their budget from heavy payouts. Fig. 02: Fraud detection and analysis with click & impression integrity for an EdTech player. The brand saved a massive amount of ad spend over 3 Months. For this EdTech company, the major issue was Fake Attribution (52.45%), The affiliates attributed installs by generating fake clicks after the user installed the app. The install was organic but due to the fake click, the install was attributed to the affiliate so that the affiliate could gain monetary benefits from the brand. Cases like these illustrate that the problem is beyond click spamming. Fake or invalid clicks are one part of the fraudulent activities that adversely impact the efficiency of ad campaigns. To fortify their ad campaign performance, they must optimize every aspect across the funnel with multi-level defense. Fig. 03: Impact of Click Fraud The Way Forward Monitor Your Click Integrity for a Brighter Future! Maintaining click integrity is non-negotiable. It’s the cornerstone of trust and transparency in the digital advertising ecosystem. What’s the moral of the story? So, dear advertisers, safeguard your brand’s reputation, optimize campaign performance and combat click fraud to reduce spamming. Start a new era of trust and build transparency in the digital ecosystem. Don’t waste your precious resources. Instead, focus your efforts on maximizing the impact while ensuring click integrity to steer your ad campaign strategically. Get in Touch to learn more about Click Fraud detection and prevention.  

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Decode the Fraud Series: Cracking Down on Click Spamming?

While online fraud perhaps started with email spamming, it has come a long way. Today, ad fraud takes many forms, and it costs digital advertisers several billion dollars. According to Statista Reports, within the 5 years between 2023 & 2028, the costs due to digital advertising fraud will increase from $88 billion to $172 billion. The lure of making quick money has motivated modern fraudsters to employ sophisticated techniques to commit fraud. Ad fraud techniques such as domain spoofing, cookie stuffing, ad stacking, ad injection, geo masking, and many others are just a few of the many techniques employed by modern fraudsters. Ad fraud is a serious problem that drains budgets and can cause long-term damage by skewing campaign performance data. Awareness is the first step for any advertiser looking to protect their ad campaigns and the budgets associated with them. This article will help you build this awareness. In the subsequent sections of this article, you will gain an in-depth understanding of one of the most prevalent click fraud techniques- click spamming. Let’s dive right in: What Is Click Spamming? Click spamming is a click fraud technique that involves the generation of fake clicks on ads or app download links. With click spamming, the clicks generated often come from genuine devices with authentic devices and user IDs. Click spamming can take many forms. Some of the most common ones are: Click Flooding- Fraudsters generate several fake clicks on ads within an app. Generating Fake Impressions- Fraudsters use a mobile app to generate fake views on videos in the background. The user is often unaware of this activity. In some cases, the app may place multiple ‘hidden’ ads within the ad interface and get credit for authentic impressions when a user views them. Organic Poaching- Fraudsters use malware-laced apps to claim credit for authentic app downloads. How Does Click Spamming Happen? Click spamming activity usually happens in one of the following two ways: 1. Click Flooding and Generating Fake Impressions: To execute this type of click fraud, the fraudster first places a utility app on the app download store. Examples of such apps may include a torch app or a calculator. However, this activity is not limited to utility apps and has been observed in games and other types of apps. Once a user has downloaded the app, it continues to run in the background. Without the knowledge of the user, the app’s in-built features generate automated clicks on ads. Similar techniques are used to generate impressions and views. 2. Organic Poaching: With organic poaching, the app downloaded by the user generates a number of clicks within the app. In some cases, it may be designed to enable an external device to click within the app. This goes on until the user downloads a promoted app or makes an in-app purchase. When they do, the credit is stolen by the fraudsters using organic poaching. While the obvious impact of such click fraud activities is the lost ad budget, there is a deeper, more serious problem. Click and impression fraud can distort advertisers’ analytics, compromising their ability to make informed decisions. Access to data, the ability to test different ads and audiences, and the ability to optimize campaigns are perhaps the most pressing reasons to use digital advertising. Click fraud prevents advertisers from enjoying the full benefits of this access to data and associated benefits. Difference Between Click Spamming and Botnet Activity Click spamming and botnet activity have a few similarities and are often confused with each other. Both involve generating a large number of clicks on mobile apps, mobile landing pages, and web pages. However, the key difference lies in the source of the clicks. How To Identify Click Spamming in Your Ad Campaigns? Click spamming can be difficult to detect. This is because the origin of the clicks is an authentic device with a genuine device ID. That said, detecting click spamming isn’t impossible. If your ads are receiving a lot of traffic from a source, but the conversion rate is unusually low, it may be a sign of click spamming. To be sure, you can: Look into the publisher app. If the app does not have a lot of downloads but is generating a disproportionate number of clicks, consider it a red flag. It is also worth watching out for apps that haven’t been validated by Google’s Play Store. However, do you remember that there may be some genuine apps that have chosen to forego the validation process to protect their code? If you suspect a conversion, check the time between a click and a conversion. In most cases of organic poaching, fraudsters claim a conversion sometime after the click has been generated. How To Stop Click Spamming? Once you have identified sources of fake clicks, you can simply block them. However, doing this at scale every day is often not practical or effective. Manually tracking click spamming activity can be time-consuming. Moreover, the process is prone to human errors that may lead you to overlook important sources of clicks. Similarly, in some cases, wrong judgment may lead advertisers to block genuine sources of authentic conversions. The most reliable way to fight click spamming is to use an ad fraud solution like mFilterIt. mFilterIt uses its AI and ML capabilities to pinpoint verified instances of click spamming and also identify human-like traffic sources. This paints a transparent picture of your campaign performance and allows you to block sources of fraudulent traffic. Conclusion Click spamming is a serious fraud issue, but the unfortunate reality is that it is not the only one. Click fraud and other forms of online ad fraud are plaguing ad budgets and campaign reports. While this means that some advertisers will continue to struggle, for smart advertisers, this presents an opportunity to get ahead. Think about it, simply by using an ad fraud tool, you can improve campaign performance and the accuracy of your attribution sources. Get in Touch to learn more about click spamming. 

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Know the Difference Series: Click Spamming and Click Injection Explained

Digital ad fraud is growing at breakneck speed. This year, marketers are expected to lose over $114 billion to ad fraud collectively. The situation is scary, and the future seems bleak. However, many marketers and brands still successfully turn a blind eye to ad fraud, and they do it because of a lack of awareness. Awareness of the different types of ad fraud can help you be more vigilant and cautious towards the rising threats and help you save your ad budgets from getting wasted. With this blog, we hope to help you bring this awareness. As part of the “Know the Difference series”, first, we will discuss two of the most common types of mobile ad fraud prevalent in the industry. These are click spamming and click injection. While both terms may seem similar, they follow different procedures to carry out ad fraud and steal your marketing budget. Let’s look at them in more detail: Know the difference: Click Spamming and Click Injection What is Click Spamming? Click spamming is a relatively primitive way to commit ad fraud. As the name suggests, click spamming is the act of generating a large number of fake clicks on an ad. This type of fraud mostly takes place on mobile apps but isn’t limited to them. In some cases, click spamming can also be observed on websites accessed through mobile devices. In most cases, an unsuspecting user downloads an app laced with malware. In others, the websites visited by the users are operated by fraudsters. The malware allows fraudsters to click on ads without the user’s knowledge. This kind of fraud can take many forms. Some examples are: The user never sees the ads, but they are live in the background, and the fraudsters are clicking on them. This is also known as click flooding. Apps running in the background can generate clicks anytime or throughout the day (and night). Common examples of such apps include launchers, battery-saving apps, and memory-cleaner apps. Some fraudsters mask views as engagement by the user and get paid for that engagement. And in some cases, fraudsters may also send clicks from the device to different vendors to collect a payout. While Google Play Store and Apple’s App Store have security measures to detect and ban apps loaded with malware, fraudsters have found innovative ways to bypass them. For instance, some apps download malware after the app has been downloaded on a user’s device by disguising it as an update for the app. Impact of Click Spamming The most apparent impact of click spamming is the wasted advertising budget. However, click spamming has a deeper, much more dangerous impact on advertisers- skewed advertising data. Because of click spamming, certain advertising platforms and apps (publishers) may deliver an impressive number of clicks on your ad. When this is reflected in the reporting of your campaigns, it may make said ad platforms and publishers appear more impactful than they are. This keeps the advertisers in the dark and they make business decisions based on these skewed metrics which eventually impacts the performance of the digital ad campaigns. Moreover, the advertisers also keep spending on these platforms under the impression that it is providing them with performance. What is Click Injection? Click injection is an ad fraud technique similar to click spamming but more sophisticated. For advertisers, that means that detecting and avoiding instances of click injection is exponentially more difficult than detecting click spamming. Instead of frantically clicking on an ad, click injection uses a single click to conduct organic traffic poaching. This is done by ‘injecting’ a click right at the point of download. Fraudsters make use of Android apps to listen to “download broadcasts”. Simply put, these broadcasts are sent by Android apps whenever a user downloads a malicious app that has an Android broadcaster that notifies the fraudsters about a new install. When the fraudsters are notified of an app install, they ‘inject’ a click right before the installation is complete. When this happens, the fraudulent app gets access to the user’s unique device tracking code. Using this code, the fraudsters can make their click appear authentic. By doing this, the fraudsters receive the credit (and the payout) for the app install, even though the app install is usually organic. Impact of Click Injection This sophisticated fraud technique not only leads to the wastage of ad spending but also hampers the organic traffic of the advertiser. Not just the advertisers, but the genuine publishers are also victims of click injection. Due to organic traffic stealing, they lose payout to a fraudulent install. Furthermore, click injections attribute organic downloads to fraudulent websites and apps. This can mess with the ad reporting data advertisers use to make decisions about their future campaigns. Using this skewed data, advertisers may continue spending their budgets on ineffective platforms, resulting in more wasted ad spend. This also costs advertisers in the form of lost opportunities by diverting their attention from other effective platforms that may deliver better results. How can advertisers protect their ad spends? As mentioned earlier, protection begins with awareness. Now that you know about click spamming and click injection, you can look at ways to detect these activities and take corrective actions. While click spamming can be detected manually, click injection is a sophisticated form of mobile ad fraud that is hard to detect by humans. These sophisticated fraud techniques are discreet, and human-like which makes it difficult to detect with general ad fraud detection practices. For these reasons, marketers valuing holistic protection must look beyond basic ad fraud tracking techniques to prevent mobile ad fraud. mFilterIt’s advanced ad fraud detection tool helps eliminate invalid traffic across the funnel using AI/ML and data science capabilities. The solution identifies sophisticated fraud patterns based on device, behavioral, and heuristic checks and ensures that the fraudulent traffic doesn’t seep through the funnel. It is an effective PPC click fraud prevention solution that helps marketers secure their ad budgets.  Conclusion Click fraud and click injection both affect marketers at multiple

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