Customers are the key to making any business work. Knowing the customer means being able to improve their purchasing experience and thus, better respond to their expectations. In this sense, Artificial Intelligence is playing a fundamental role in the digital transformation that many companies are facing today, and for departments, data is vital to building customer loyalty and retention. In the world of marketing, where subjective elements predominate, the only point that does not allow debate is the importance and objectivity of the data. To carry out adequate customer segmentation, innovation, personalization and any commercial strategy inevitably requires having a good data model, which allows you to analyze the campaigns and create a basis that provides a basis for strategic decisions.
Possible reviews or testimonials
To capture all the information related to the client, it is necessary to obtain, at each point of the marketing strategy, all possible data. This includes industry email list collecting pre-purchase information such as, for example, customer comments on the website, on social networks or the interactions generated during their visit to the store. Likewise, during the purchase, you can obtain data such as the location , whether you do so in a physical or online store, or if you have used any promotion. Finally, after a purchase, information on of the items or services purchased should not be missing. The sum of everything will be what allows us to know the degree of satisfaction, or dissatisfaction, of a client. Additionally, this collection of information can make it easier to identify what items or services you may need.
Requires designing a purchasing strategy
To manage the large amount of information needed to achieve a good marketing strategy, it is necessary to have adequate support. Therefore, having an WS Database IN updated CRM will help to have good commercial management, and also to create marketing campaigns adapted to the needs and interests of clients. Properly managing the database, both of clients and leads, for the company or brand. It is essential to segment by age, sex, geographical origin and type of products in which the customer has shown interest. To achieve this, it is vital to apply techniques such as the RFM model, which will increase the number of e-commerce sales.
