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How Big Data Is Helping Boost the Social Media Marketing

The term ‘data’ and the internet are twins. They have been around since the advent of the internet in the 1980s. And data is steadily becoming an indispensable part of businesses. 

In today’s business world, managing vast amounts of data has become essential. Businesses today need to store vast amounts of data and also analyze the data to derive insights related to the business. The insights help them to formulate effective marketing strategies, making winning customers easier than before. 

What is Big Data?

Big data is the field of science that deals with data sets that are too large and complex that your traditional data processing tools find it challenging to handle. 

You might be somewhat confused in figuring out what role Big Data plays in marketing strategies. Let us make some efforts to understand how businesses are using Big Data in their social media marketing campaigns. 

With big data playing a dominant role, social media marketing has gone up to a different level. Digital marketers can now formulate personalized marketing strategies, and address customer needs effectively. 

Big Data and Social Media

Social media is one of the most significant sources of Big Data. A recent study shows that there has been a remarkable addition to internet data during the last few years. According to the survey, more than 85 percent of the data has been added during a previous couple of years. And the study further claimed that about 80 percent of the data emanated from social media platforms. 

The stream of continuous data from social media platforms has given rise to what is called Big Data

All information is data. It can be anything, such as your profile picture to your comments on social media platforms. 

Keep in mind that social media is not an option but an indispensable part of businesses. Without adequate social media marketing campaigns, no business can survive the fierce competition prevailing all around. 

Strategy Formulations

Social media platforms allow you to run targeted marketing campaigns. And with Big Data, you can better analyze market data, which will enable you to formulate more predictive approaches. When you analyze past data, you can formulate better marketing strategies compared to comparing growth numbers with past performances. 

Data analysis helps in predicting customer behavior and habits. As such, you will be able to develop impactful strategies for customer engagements.

With Big Data, you can derive insights to predict things like:

  • What will customers buy shortly?
  • Why will they buy the product(s)?
  • What kinds of product features do they like?

Marketing through Social Media helps you to create the right marketing campaigns to boost sales. And Big Data helps you to personalize your interactions with consumers on social media. It thus enables one-to-one communication. 

Personalized Approaches

As most businesses adopt digital marketing as an essential part of their marketing strategy, Big Data helps them formulate personalized approaches to better communicate with a consumer. 

Big Data has brought in a revolution in the entire marketing model for businesses. It has enabled companies to create focussed marketing strategies that boost their sales and hence increase their revenues. 

With the predominance of Big Data, you will be able to keep yourself away from maintaining a watchful eye on your competitors’ moves, and instead, you can focus on what is good for your business. 

There is no need to say that your gameplan and that of your competitors will be different. With Big Data, you can formulate an impactful marketing gameplan to win over your competitors. 

Using Big Data, you can derive insightful conclusions about your business. You can spot mistakes, and hence you can devise ways to rectify them. As you can forecast results with Big Data, you can get a picture of your would-be performance before launching a marketing campaign. And that helps you a lot in spotting your mistakes and fine-tuning your strategy. 

You can use predictive tools for Big Data analysis for running effective campaigns on social media. 


With the popularity of Big Data growing day-by-day, you need specialized professionals. The latter can analyze and organize the data to quickly understand the implications of the data. At the same time, you also need sophisticated digital marketing tools to analyze the data. 

In parallel to the tools, Machine learning, and Artificial Intelligence also play a vital role in segregating and analysis of the data. These enable you to reach your target audience easily on social media. 

There are also more in store for you. Big Data bears the potential to lower your advertisement costs while boosting your returns. It makes your marketing campaigns more efficient by targeting only the interested consumers. 

Your marketing campaigns will become successful if only you target your audience based on what they like and dislike. If you can discover their tastes and preferences, you can fine-tune your marketing strategy to the precise needs of your target consumers. 


Given the advantages of Big Data, you should not fall behind in using it. And there is ample availability of digital tools that ease Big Data usage. 

Studies forecast that Big Data is there to stay, and it is going to play a dominant role in the future. You can take your business to the next level by leveraging Big Data, which allows you to focus on specific aspects of your target audience. You will be able to craft personalized digital marketing strategies that will appeal to your target consumers. As such, you can win your target consumers like never before. 

Disclaimer: The information in this article is provided for general education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness or fitness for any particular purpose. It is not intended to be and does not constitute financial, legal, tax or any other advice specific to you the user or anyone else. TurtleVerse does not guarantee the accuracy, completeness, or reliability of the information and shall not be held responsible for any action taken based on the published information.

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