Detecting and Blocking Malicious Traffic

Within the first few days of using SHIELD, carandbike’s suspicions were immediately confirmed. SHIELD’s AI and machine learning technology detected that a certain amount of its paid traffic was not legitimate. The SHIELD Risk Indicators flagged the exact types of tools the advertisers were using, which included automated software, emulators, and anti-fingerprinting tools.

Abhishek Agarwal, Head of Marketing at carandbike commented, “Emulators, bots, anti-fingerprinting tools, you name it. There’s not a single malicious tool and technique that SHIELD didn’t spot.”

Carandbike’s next step was to block all fake traffic to avoid skewed analytics and wasting server bandwidth. To do this, SHIELD filtered all traffic through its fraud prevention platform before they landed on the carandbike.com website.

Abhishek Agarwal added, “SHIELD’s technology is phenomenal. Easy set up, functional dashboard and effective traffic filtering helped us ensure carandbike.com is the safest auto portal in India, and within a week we already obtained a 400% return on investment on the platform fees.”

Banning Fraudulent Advertisers

With SHIELD’s technology, the carandbike team was able to understand which advertisers gave them the best return on investment, resulting a more than 200% increase in legitimate traffic. This gave the carandbike team the confidence to stop working with some of their advertisers and reward the high performing ones with additional incentives.

Better Results = Better Decisions & Better Partners

An effective and efficient fraud prevention solution blocks fraud before it can happen. SHIELD’s AI and machine learning technology helped carandbike optimize their marketing spend and increase their revenues by detecting and blocking poor quality traffic. This empowered the company with better and more accurate analytics so that they could make more informed decisions on which advertisers were worth working with, and which were not.