Please send a mail to contact@roq.ad, or fill in our contact form below. We will set up a clarification call or personal meeting to answer all questions.

Roq.ad is providing several products that are live in different regions.
The private Identity Graph is available globally. The Roq.ad Public Graph and ROPO360 Analytics are currently live in Germany and Poland. To learn more about each product, check
Solutions.

Roq.ad support two ways of integration: by tracking codes or server-to-server.
The former could be done with JavaScript codes which requires either cosmetic changes (campaign or use-case specific) or for NO changes at all.
We can also provide an IMG tracking code but in this case, it needs to be customized.
The second integration type (server-to-server or s2s) is just a RAW data file sharing using (s)FTP or AWS S3. For this scenario some additional criteria must be met, i.e. presence of all attributes in the data exports Roq.ad requires for the calculation.
Before the project starts, our Customer Team is always involved in the use-case clarification discussion to make sure the most beneficial way of integration is chosen.

It’s our secret sauce :)‚ However, to understand the process a bit better we strongly suggest reading our 
White papers. Definitely it’s worth spending 30 minutes to understand the idea of cross-device technology.

The Roq.ad USP is privacy compliance and strongest local Cross-Device device pool in central Europe. Roq.ad works on 100% opt-in or consented users, and thus is adhering to the strict German data privacy laws. Active user consent means that Roq.ad will not process any data without a user actively agreeing to do it. The user’s consent for processing can be withdrawn anytime via several opt-out mechanisms.

Deterministic data (also called «label data») includes information such as user name, email address, etc. tied to a specific user. It is considered as one of the most accurate ways to identify a person in the online world. Typically, social media platforms, gaming sites, and large eCommerce businesses have the largest number of log-in data. However, when the person moves away from these platforms to other digital properties or does not login to a specific app or website – it is almost impossible to track the user across their multiple devices. Here, a probabilistic approach is needed in order to solve for online identity resolution.
Probabilistic data itself means observation data that does not contain a persistent identifier belonging to a given user (e.g. an e-mail address). A probabilistic identity solution collects a wide range of signals from the observation data and computes connections between the underlying device identifiers. The more matching attributes that are received and mapped for a given device and user, the higher the likelihood that these device identifiers belong to the same person.
In summary: A deterministic Cross-Device solution works well, as it holds high precision level between the device connections, however, it lacks in scale. Using probabilistic solution in addition to the deterministic solutions increases the scale of the approach at relatively high precision rates (+90%).