Can you identify users from any device?
Can you identify users from any device?
RB2B is designed to work with users who visit your website using pretty much any device so long as the device stores cookies. This means that users using their mobile devices, tablets, laptops, and PCs can all be identified by RB2B.
Do VPNs affect RB2B's ability to identify users?
Do VPNs affect RB2B's ability to identify users?
VPNs and proxies can significantly impact the accuracy of customer profiles by obscuring a user's actual location. This makes it challenging for RB2B to verify if a user is in the United States during their site visit, which is a crucial step in the identification process. If RB2B can't determine if the user is in the United States, it does not proceed with identification. However, it's important to note that corporate VPN usage typically does not hinder RB2B's identification processes as much as consumer VPNs do.
When a user employs a VPN or proxy, it can lead to the creation of duplicate profiles, where the same user is mistakenly identified as a new visitor instead of a repeat visitor. RB2B has recognized this issue as a primary source of erroneous records and is working on measures to reduce the occurrence of such duplicates.
Why can RB2B only recognize 35% of US traffic, and will that number improve?
Why can RB2B only recognize 35% of US traffic, and will that number improve?
Currently, RB2B can identify 35% of US traffic. This identification rate is expected to improve over time as our database and recognition capabilities expand.
If a user is on their corporate VPN or company WiFi how do you recognize the person at the individual level?
If a user is on their corporate VPN or company WiFi how do you recognize the person at the individual level?
The nature of this question suggests a misconception that our person-level identification is based on a user's IP address. It's important to clarify that we do not use IP addresses for visitor identification. Especially in a corporate environment where VPNs (Virtual Private Networks) or company WiFi are used, relying on IP addresses for individual identification becomes nearly impossible. This is because VPNs and company networks typically mask or share IP addresses among multiple users, making it challenging to distinguish individuals based solely on this data. Our approach to user identification focuses on different methodologies that are more reliable, ensuring accurate data collection.