Big Data And Audience Micro-Segmentation

The technological advances and digitization have given way to the accumulation of vast amounts of data (terabytes and petabytes) occurring mostly so unstructured. This infinite virtual information is beneficial for companies because it allows not only to know users in-depth but also to predict behaviors and trends. Apply for data science course fee in hyderabad to learn more.

Big Data, which we hear so much about lately, is the discipline that is responsible, through a series of mathematical algorithms and patterns, to manage, analyze, and organize all this data just like in SEO company (บริษัท seo, which is the term in Thai). The utility of obtaining all this information has multiple uses in different areas such as sociology, medicine, journalism, or, in the case at hand, marketing.

How Can Big Data Be Useful For Marketing?

The Big Data identifies the most relevant data for a company and gain a thorough understanding of consumers. Thanks to this, a micro-segmentation of audiences can be carried out that allows the creation of more personalized marketing strategies. In this way, Big Data will enable us to know not only who to direct the campaign, but also that we know through which devices we should do it and at what specific moment.

Marketing has long since rejected seeing audiences as a heterogeneous entity, and that emphasizes segmentation to reach better the target audience that interests them. For its part, the consumer also refuses to be treated as part of a whole. Until now, the resource available to establish segments was, above all, the handling of demographic data. However, the arrival of Big Data brings with it an utterly objective micro-segmentation, based on real data obtained from real people.

In this way, the creation of super personalized campaigns will be, increasingly, the norm, which is very positive for companies. And is that Big Data allows you to make decisions almost in real-time and predict with significant reliability the behaviors of consumers, which brings fewer costs and a higher return on investment. Also, micro-segmentation allows us to understand the response of users to campaigns better.

For their part, consumers are also benefiting from this rising trend, since they see how their needs as buyers are taken into account and how valuable content is created that improves their user experiences.

For all the reasons stated, many large companies are already investing in Big Data. Amazon, for example, bases part of its success on its in-depth knowledge of the consumer, which it places at the center of its business strategy. Thus, the launch of Alexa, its new voice assistant, is another example of how artificial intelligence and big data are put at the service of a new form of marketing that wants to know everything about the user. Absolutely everything. Learn more at data science course fee in Bangalore.