Click Injection: How to Prevent Them with Magic Shield

As a digital advertiser or publisher, dealing with fraudulent practices affecting your ad campaigns can be frustrating. Imagine putting time, money, and creativity into creating appealing ads only to find out that the clicks on your campaigns are fake, leading to payments for illegitimate activities. Click injection, a deceitful technique in the digital advertising world, contributes to 30% of total ad fraud in the programmatic ecosystem according to a 2018 study. In this blog, we will explore click injection, how it works, its consequences, and most importantly, how you can safeguard your campaigns from this insidious form of ad fraud.

What is Click Injection?

Click injection involves manipulating mobile apps to generate fake ad clicks. Fraudsters exploit vulnerabilities in app-to-app communication channels to “inject” clicks into the attribution process, often at the expense of unsuspecting users. The goal is to benefit from the last click attribution in CPI campaigns, earning from an installation illegitimately.

Click Injection Process

• User Action Triggers the Injection: Legitimate user actions, such as installing a new app, reaching a game level, or making an in-app purchase, signal an opportunity for click injection.
• Malicious App Detects the Opportunity: A pre-installed or unknowingly downloaded malicious app monitors the user’s activities, waiting for the right moment.
• Injection of Fake Clicks: The malicious app sends fraudulent click data to the ad network, making it appear as if the user clicked on an ad without their knowledge.
• Attribution and Payment: The ad network attributes the click to the fraudster, who receives payment for the fake click, while the genuine user remains unaware.

Consequences of Click Injections

• Wasted ad Budgets: Advertisers pay for clicks that are never engaged with their ads, leading to inefficient resource allocation and diminished returns.
• Inflated Metrics: Key performance indicators (KPIs) like click-through rates (CTRs) and conversion rates become distorted, misleading advertisers about campaign effectiveness.
• User Experience Degradation: Malicious apps compromise device performance, drain battery life, and compromise user privacy, tarnishing a brand’s reputation.
• Advertiser Skepticism: Repeated exposure to click injection breeds skepticism, making advertisers wary of digital advertising channels, harming the ecosystem.

Avoiding Click Injections

• Implement Fraud Detection Tools: Use advanced fraud detection tools from reputable ad fraud management solutions like MagicShield, employing machine learning algorithms to filter out fraudulent clicks in real time.
• Monitor Attribution Data: Regularly check attribution data for suspicious patterns or discrepancies. Analyze click-to-install time ratios and investigate any unusual activity indicating click injection.
• Employ Multi-Layered Defenses: Combine device-level protections with server-side fraud detection to create a robust defense against click injection.
• Build Trusted Partnerships: Collaborate with reliable ad networks and publishers prioritizing ad quality over quantity, actively combating ad fraud for a secure advertising environment.
• Stay Informed and Adapt: Keep up with the latest ad fraud trends, educate yourself and your team, and adapt strategies to effectively mitigate emerging threats.

By taking the proactive measures, you can safeguard your digital ad campaigns against click injection attacks and ensure a more secure and effective advertising environment.

Conclusion

Click injection is a serious concern as it comes as an ad fraud which usually occurs in the context of the ad fraud which rises in the context of installation of the app on device. It ruins the mechanism of the attribution that is used by the ad network for tracking the specific indication of the ad. For combatting the click injection there are various click injection techniques but Magic Shield turns out to be the best as it investigates the kind of ad fraud instantly that protects ad spamming which gets displayed from the suspicious source validating the traffic.