What Is Big Data Analytics On Social Media?

The digitized world of today presents us with an issue we’ve never faced before. Each and every little device in our home is either now or soon to be connected to the Internet of Things (IoT) and that means it is able to collect data.

The influx of collected data allows businesses to better understand behavioral and buying patterns of the customers, but big data goes even beyond. It is able to help scientists deal with global issues, while also providing marketers with information needed for proper decision-making.

And while going through the intricacies of the matter requires heavy argumentation, primarily due to the ongoing debate on privacy, the main issue of big data is rather simple. We, as a society, simply don’t have the right tools to process all that data.

Yet, this isn’t exactly the case with social media. In fact, big data available on social platforms and the development of the social media marketing scene can help us better understand how smart technology might change our lives in the near future.

One of the better examples of how big data currently shapes our lives is social media analytics. The user information that is being collected on social networking platforms allows marketers to have a better understanding of the customer behavior, target audience groups and engagement. In simple terms, the two sides of the coin that is big data on social media, within the digital marketing spectrum, are microtargeting and brand analytics.

The first and most obvious way big data changes our lives is by providing marketers with the ability to target individuals within a specific group. With the data being neatly segregated via machine learning algorithms, social media platforms are able to allow companies to directly target individuals based on detailed specifications that go beyond race, age, gender or social standing.

In fact, today you are able to advertise to someone, just because they like a specific movie. And while the examples of microtargeting we see on media outlets are generally frightening and scary in terms of privacy and system exploitation, the truth of the matter is that microtargeting is not a negative marketing tactic.

In fact, with the help of AI, big data allows marketers to directly connect with their target audience group, allowing them to increase their profits while lowering the cost of advertising. In a sense, the more people who are interested in your product or service see the advertisement, the less money a business is spending by advertising to individuals who are not interested in the matter.

At the same time, it’s also better for the customer. By having targeted ads show up on your social media feed, you will be able to receive information about products and/or services that might be of your particular interest. This absolves the need for boredom and frustration of having to go through ads that have little to nothing to do with you and rather turns advertisements into a non-obtrusive experience. But that’s not what big data is all about.

The other side of the coin of big data on social media is arguably even more vital for businesses. Almost every company is trying to get a slice of the social media pie. Creating profiles on multiple social media platforms in hopes to increase your brand message is all well and good.

But the sweeter part of the equation is more often than not the social media analytics.

Having access to numerous metrics, such as likes, post reactions, post replies and more, allows a business to better understand the very nature of the interaction between their customer base and their content. Lying in the core of the growing digital marketing scene, social analytics provide businesses with an opportunity to hone their marketing message, while delivering better support and transparency through relevant and timely information.