There are already many identifiers that can match a user of different devices
Posted: Mon Jan 27, 2025 5:16 am
experiments with offline analytics are interesting . So far, such methods are imperfect, but these are only the first steps. Everything will develop, and over time, a person on the Internet and outside the Internet will become one and the same person.
: Client ID, User ID, phone, email, MAC addresses of devices, geolocation data, etc. Linking analytics parameters to a device and, as a result, the location of the client brings us closer to understanding the full picture of offline customer behavior.
how often a person visits a shopping center, restaurant or other offline point, how much time they spend there on average, how they move, etc.
End-to-end analytics in this regard iran consumer email list is both reconnaissance and cutting-edge. Not having them is fundamentally wrong. If you do not know what a potential client does (the one who does not want to buy anything from you), you will never understand what he needs, what he is afraid of, you will not know how to influence him. As a result, you will not influence him, but your competitor will.
: Client ID, User ID, phone, email, MAC addresses of devices, geolocation data, etc. Linking analytics parameters to a device and, as a result, the location of the client brings us closer to understanding the full picture of offline customer behavior.
how often a person visits a shopping center, restaurant or other offline point, how much time they spend there on average, how they move, etc.
End-to-end analytics in this regard iran consumer email list is both reconnaissance and cutting-edge. Not having them is fundamentally wrong. If you do not know what a potential client does (the one who does not want to buy anything from you), you will never understand what he needs, what he is afraid of, you will not know how to influence him. As a result, you will not influence him, but your competitor will.