Artificial intelligence marketing (AIM) is an experimental branch of marketing that uses artificial intelligence techniques as a tool to achieve a company's business or sales objectives.
How AI Marketing techniques work These are algorithms programmed to persuade a person to take a particular action (call to action), usually to buy something or register for a service. To achieve this goal, the rational agent uses information from a database of behavioral targeting marketing techniques.
Algorithms know how to communicate with humans through natural language and possibly can also observe human emotions using a digital video camera. During the communication process, the AIM agent uses machine learning models and Bayesian networks to find the probabilistically best sales strategy, the one to adopt to convince the human interlocutor.
The whole process consists of a cycle of perception-processing and action that ends with the achievement of the final goal (sale) or when the chances of failure become very high (failure). After each attempt the algorithm improves its knowledge, acquires new data and learns from experience (machine learning). This allows him to experiment with new sales techniques, until he finds the most effective one for each specific case.
The practical applications of the AIM
AIM techniques can be used online in chatbots to make the customer, prospect or lead generation process more effective. Likewise, they are applicable in software of virtual assistants in smartphones. In the future, artificial persuasion technologies could also be used on robotic automata, implementing what has long been theorized as robotic persuasion.
How AI Marketing techniques work
These are algorithms designed to persuade a person to take a particular action (call to action), usually to buy something or sign up for a service. To achieve this goal, the rational agent uses information from a database of behavioral targeting marketing techniques.
Algorithms know how to communicate with humans through natural language and possibly can also observe human emotions using a digital video camera. During the communication process, the AIM agent uses machine learning models and Bayesian networks to find the probabilistically best sales strategy, the one to adopt to convince the human interlocutor. The whole process consists of a cycle of perception-processing and action that ends with the achievement of the final goal (sale) or when the chances of failure become very high (failure). After each attempt the algorithm improves its knowledge, acquires new data and learns from experience (machine learning). This allows him to experiment with new sales techniques, until he finds the most effective one for each specific case.
