Machine Learning: Predictions For A New Digital Marketing

Machine Learning is an artificial intelligence technology that allows us to detect patterns within a large volume of data and make predictions from them

This technology makes computers capable of learning after analyzing data to identify patterns and forecast trends.

Therefore, machines can mimic the cognitive functions that we normally associate with humans, such as:

• solve problems
• reason
• represent ideas
• make predictions
• natural language processing
• recognize voices and images

Machine learning will automate processes such as creating models from data analysis, allowing it to identify patterns and make data-driven decisions.

The application of machine learning in marketing has given rise to numerous possibilities, since the application of sciences such as statistics and data coding allows the study of patterns to predict future behavior in numerous spheres, to make the right decisions.

Analyze data using algorithms and behavior patterns to be able to propose an effective strategy. We emphasize that in these processes the human being does not intervene, it is the software that performs it.

Machine Learning plays an extremely important role in the future of Digital Marketing.

The transformations associated with social changes have an impact on the way of proposing strategies. It is clear that the digital field has gained ground and that we must adapt the ways of advertising to different users.

For this reason, Machine Learning can help us simplify the approach of strategies in Digital Marketing, thanks to the analysis of infinite data on customer behavior.

Let's see some of the many advantages of applying Machine Learning to our digital strategy:

• Analyze with greater accuracy the preferences, needs, and tastes of consumers, in addition to their purchasing habits. Thus, e-commerce benefits, guarantee a more personalized experience.

• Thanks to the predictions of Machine Learning, we can innovate when planning the launch of new products or services.

• Communication with the client goes to another level thanks to Machine Learning, as technologies such as chatbots have been developed that automatically answer many questions and concerns of users, at any time.

• The enormous information derived from machine learning allows companies to optimize their production processes and make decisions with great accuracy.

Analyzing the enormous amount of user data is a daunting task for any company.

However, it is an essential process to incorporate conclusions into the marketing strategy and define effective and efficient promotional actions.

Therefore, we need to use Machine Learning to analyze the data and make predictions. Let’s see how to apply it to Digital Marketing:

• eCommerce. Machine Learning can improve the consumer experience when making an online purchase, recommending products that suit their tastes.

• Increase the personalization of messages. Segmenting the audience and turning users into loyal customers.

• Predict behaviors. Using intelligent algorithms with which behaviors can be predicted, we will be able to detect positive and negative opinions about a certain product to contribute to online reputation.

• Reduce customer churn rates. Machine Learning helps us identify those users who are most at risk of going with the competition. To avoid this, you can resort to sending personalized messages.

• Personalize advertising, segmenting the public, to offer content based on their interests. Each user will see the ad that they like or attract the most.

Some examples that demonstrate the feasibility of applying Machine Learning in Marketing include the streaming video platform Netflix, which uses this technology to suggest series and movies to users taking into account their preferences and previous history.

Google also uses Machine Learning to create ads based on search preferences.