Analytics Marketing

What is Analytics Marketing?

Analytics marketing is a concept that was born from web analytics and digital marketing. It consists of a branch of marketing that has adapted to modern times to take advantage of all the data collected from user interactions on the web to propose the best marketing strategies. It is, for many specialists, how 21st century marketing should be.

This aspect focuses on reviewing all the activity carried out by a company on the Internet, all its strategies and how consumers react to these on the networks. With all these data well collected, a study procedure is carried out from which the new strategies to be used are born.

Something that was born with the aim of making better use of all those data that the Internet can provide today with regard not only to the company, but also to the interaction between the user and the brand. In the age of attraction marketing, it is especially important to establish the best way to approach the audience, which is now much more critical and values more how companies make contact.

Born from the fusion of web data analytics and marketing, Analytics marketing is the next step in marketing.

What is Analytics Marketing for?

Analytics marketing is used to obtain higher business performance and greater visibility with a lower investment. It shares objectives with marketing in its most traditional sense, but changes the methods and strategies, fundamentally at the time of data collection.

It is useful for those companies and brands that want new alternatives to contact their consumers, to present their services and products, guaranteeing the highest viable rate of return. Taking advantage of the large amounts of data that can be obtained through the Internet, and the quality that these have; Greater efficiency can be obtained with the strategies generated from this information.

Analytics Marketing Examples

Giving examples of Analytics marketing is difficult, since it consists of a concept that encompasses strategies, metrics and other items. In spite of everything, we are going to propose a hypothetical case that can help to better understand this term. Let's suppose that in NeoAttack, our digital marketing agency, we intend to reinforce the visibility of our SEO Positioning service. To come up with a good strategy, we need to analyze our clients' data first.

Knowing what interests them the most, which ones have worse positioned websites, what other audience related to them may be interested or even what nearby spheres may be interested in opening a website and positioning it are factors that would help. With this data, objectives and also results from previous campaigns would begin to be set, all coming together for a new strategy.