Artificial intelligence, and specifically predictive analysis techniques, allow us to anticipate user needs and offer them the content, product or service they need, even before they search for it. One of the best-known applications that uses AI in predictive analysis is the Google search engine itself and Gmail with its Smart Compose tool. In the latter we see how it helps us correct errors in writing emails and suggests and helps us to finish sentences. Other examples of lesser-known companies that apply Artificial Intelligence for predictive analysis are: Farrago – Business Intelligence company, which builds predictions to manage risk and increase profits Meetcortex – SAAS platform that allows Marketing professionals to understand what graphic or audiovisual content have greater engagement and success among their audiences. Sentione and Brandwatch – Social listening platforms that monitor the conversations and feelings of people on social networks. The latter are also known as social intelligence tools.

How does AI help in marketing?

AI allows us to anticipate the user’s needs and offer him the content, product or service he needs, even before he looks for it. Through facial recognition and speech recognition systems, you can make a computer understand what the user wants and help him find it. For example, if the user is looking for a restaurant with a special cuisine, you can show him similar restaurants that have that cuisine. You can also use AI to recommend products and services based on the preferences of your customers. In the area of ​​marketing automation, AI is at the forefront. It allows us to create personalized messages and offers, thus automating the entire marketing process. AI is also used in customer engagement strategies to increase customer retention and loyalty. For example, it can recommend products that best suit the preferences of your customers, thus increasing customer satisfaction.

Types of AI used in marketing Natural Language Processing (NLP):

NLP allows computers to understand human language so they can communicate with us. For example, they can understand our emails and automatically reply to us, understand our search queries and show us relevant content and understand our speech and visualize our engagement with them. Computer Vision: Computer vision allows computers to “see” the world and understand what they see. For example, they can recognize objects, read text, understand images and even have the capacity to have “a conversation” with the customers. Alternative Facts: In the area of ​​marketing automation, one of the most important AI algorithms is the alternative facts generator (AF), which is also known as the truth serum. It is a computer algorithm that generates hypotheses about your preferences and personality, based on your online behavior. It allows you to create personalized communication and offers and also increase customer retention and loyalty.

Benefits of using AI in Marketing – Predictive advertising:

AI allows you to show the right ads to the right people at the right time. For example, if someone searches for a product related to agriculture or farming, it can show him relevant advertisements. – Customer engagement: AI allows you to understand your customers’ needs and react accordingly. It can also help you create content that appeals to your customers and keep them interested in your products and services. – Personalized experiences: AI allows you to bring the right level of personalization to your experiences, whether in your browsing, search or purchase experience. It can even help you offer better customer service.

Conclusion

AI is a new frontier in marketing, allowing you to anticipate the needs of your customers and respond accordingly. It can predict customer engagement, improve customer retention and loyalty and help you create better content. These benefits make it one of the most important new technologies in marketing.  

Source: This content was generated by a copywrite AI.