Anticipating user needs, satisfying them before they arise: the use of a marketing approach based on data analysis and the use of sophisticated artificial intelligence algorithms allow to personalize the browsing and purchasing experience of users, down to the smallest details. From the proposal of personalized content and products to “tailor-made” communications and offers, but not only: one of the salient aspects in which the use of predictive analysis can play an important role is that of customer support , which remains one of the most significant touchpoints in the user's customer journey.
When we talk about customer support and artificial intelligence, the association with egypt mobile database chatbots is immediate, but this is certainly not the only use of artificial intelligence.
The use of predictive analytics can indeed prove particularly useful, not only to anticipate customer questions and thus provide them with rapid and precise answers, but also to predict a customer's churn rate and thus intervene before the customer decides to stop purchasing the brand's products and services.
Finally, let’s not forget how important the use of artificial intelligence and machine learning in predictive contexts is also for upselling and cross-selling strategies .