Big Data and User Segmentation
Data and information on each individual user collected from multiple channels in a single repository, a real plus to create winning marketing personalization strategies.
From the automatic segmentation of the audience to the personalization of the navigation and purchase experience of users and customers, up to the optimization of their customer journey: none of this would be possible without a significant amount of data and information that would allow an analysis of the behavior of our target audience. In fact, it is on these that artificial intelligence expresses its full potential: machine learning and predictive capabilities allow us to predict very accurately what the rewarding behaviors or stimuli will be for each individual user belonging to each segment.
Thanks to a sophisticated tracking system, Adabra is able to collect data and information from multiple channels, which not only includes digital properties, but also offline channels such as ERP, CRM, loyalty programs, cash systems, etc..
These data are collected and normalized for every single user and, used by artificial intelligence and machine learning algorithms, become a real asset for effective marketing strategies.
From demographics, past and present browsing and buying behavior to interests: Adabra offers a sophisticated dynamic profiling and segmentation system.
Thanks to different criteria you can create clusters and segments that can be updated in real time: get to know your audience better and create effective marketing personalization, reengagement and customer loyalty strategies.
Collecting and analyzing information on users' behaviors and desires in order to anticipate their future needs and desires: a predictive marketing strategy allows you to show your potential customers potentially interesting products and services, stimulating in them the desire to buy. It is to all intents and purposes a data driven marketing strategy that finds in big data and artificial intelligence two powerful allies.
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