Axél in MARKETING
Axél can be effectively used for marketing purposes. It incorporates a recommendation system for evaluating customers’ interests on websites, the events they have attended and their preferences on social networks.
With these information, Axél will customize the offer of new products, depending on user’s previous purchases, and will profile them in avery accurate way, in order to set the engagement level and get the best benefits from customer care service.
Axél is able to elaborate texts into natural language, extremely useful in social listening and monitoring purposes. It can be employed in “active listening”, in order to catch specific hashtags, keywords and for sentiment analysis purposes.
Modelling concepts can be applied not only in NLP, but also in user profiling. By combining the most frequent behavior patterns with the main features of the user, Axél can sort customers into different clusters and implement recommendation strategies.
As a user profiling engine, Axèl can also work as a recommendation engine for users, previously profiled and assigned to specific patterns, creating inside the platform ad hoc actions for each cluster.
EMOTIONAL STATE DETECTION
Axél can detect, analyze and process eye motion, brain activity, dermal conductivity and other biometrics signs, related to people’s emotional state, in order to use them as data source, applying behavioral, cognitive psychology and neural sciences methodologies.
COGNITIVE PROFILING AND ENGAGEMENT
Axél combines bleeding-edge tools and last generation softwares, that allow a high-reliability data collection and the expression of people’s psychophysical state during their interaction with physical or digital interfaces, through very clear indicators.
Axél personalizes contents proposal based on a cognitive profiling in contexts as a branch, a trial, during a product’s tasting or a shop visit.
Axél allows advertising videos creation, automatically adapting their contents based on emotions measurement and cognitive reactions they are raising in the user. It measures brainwaves for gaming applications and allows personalized competition contests, for example, during commercial events in showroom, where the intensity of different relevant neural parameters becomes a competition element among users.