As mentioned in part, the identity resolution process begins with first-party data which,
Once collected, they are shared in a single environment.
This is where the identity graph comes in , a kind of large database that brings together all the identifiers associated with different customer profiles: many small fragments (name, device ID, purchases, hashed emails, cookies, etc.) that connect to each other, with more or less certainty, build the identity of the individual user .
In fact, it is possible to take either a deterministic or probabilistic approach when solving the identity.
In the first case, in deterministic matching, it is mainly first-party data that comes luxembourg mobile database into play, while in the second case, predictive algorithms that also use additional signals, in addition to first-party data, such as, for example, actions coming from the same IP, the same network or the same Wi-Fi.
But resolving identities is only the first step: user data and information are constantly enriched, giving life to a virtuous process of qualifying its audience , also thanks to the contribution of data from media outside the company's properties.
From the resolution phase, to the enrichment phase, through the activation phase: You can supervise and orchestrate the customer journey of your users from the first impression to post-purchase Creating increasingly relevant and effective ADS campaigns also on new users (audience extension ) and Personalizing the customer experience at each point of contact , from the website to the point of sale.