It uses sophisticated machine learning algorithms to generate value. When forming the value, the model takes into account the following factors: time between interaction and conversion - the period of time that passed between the moment the user interacted with an advertisement or other
marketing point of interaction and the moment of conversion; device type; number of interactions with advertisements; order of their display and types Uruguay Email List of ads. of conversion for each stage of interaction and assigns them a percentage value depending on this probability.
An example of value formation: data-driven attribution model In this case, the algorithms distributed the value between all points of interaction, taking into account the potential probability of conversion. Model of attribution by the last indirect transition .