About users’ preferences, interests, and behaviors over time. With the right tools and algorithms, this pool serves as a great source of information used for personalization. Based on it, automated AIs can customize the UX, making it more relevant to their individual needs. For example, on a music streaming service, Artificial Intelligence can create playlists of songs that perfectly match someone’s taste in music.
All this is done with machine learning, one of the pillars of AI. 2. Quick and Objective Answers local marketing email list Who doesn’t like quick and objective answers when they have a question? AI-powered chatbots are increasingly popular on websites, search engines, and apps. It can answer queries instantly, guide users through complicated processes and provide useful information, streamlining your interactions with more personality and relevance. 3. Behavior Prediction Based on data analysis, AI can anticipate future actions and needs to better meet the demands of its users.
For example, in an online shopping app, AI can predict products that your customers are likely to buy, saving time in searching and making shopping even more satisfying. In addition, the customer has the perception that your company cares about offering a truly personalized service. It increases engagement and, consequently, generates spontaneous advocates for your brand: they are more likely to recommend your products to friends and family.