IPQS Integration Best Practices

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IPQS is a fraud detection system that evaluates various user click data including IP address, device, email, phone number and complete billing details to identify potentially fraudulent traffic. The IPQS integration best practices guide provides a simple step-by-step process to connect the system to your Offers. Learn how to configure fraud detection thresholds for both desktop and mobile clicks and how to override or disable the system’s default settings per Offer.

How to Seamlessly Integrate IPQS into Your Stack

The IPQS platform offers state-of-the-art fraud detection services, underpinned by robust risk management strategies. They help to significantly reduce chargebacks, fake account registrations, and account takeovers without interrupting the experience for genuine users. They also help to safeguard the reputation of the business by identifying connections with known abusive behavior. In addition, their APIs allow for advanced fraud prevention by combining proxy and VPN detection with address validation, and phone reputation checks into a single check.

Toluna uses the IPQS service to identify if respondents are engaging in fraudulent behaviour during research sessions. Respondents with an IPQS score above a predefined threshold are rejected from the Toluna Panel. The rejection code used is X-False.

The IPQS integration allows you to verify and validate the user’s lead data on your Unbounce landing page. It also helps to filter out bots and proxies on your Marketo contact lists, as well as validating the data entered by users on popular web forms such as Gravity Forms or SurveyMonkey. This helps to improve the quality of your leads and reduce the amount of time that your sales team spends trying to reach out to fraudulent users.