Businesses today mostly follow predictive strategies, and it is social media and Big data that fully empowers marketing strategy. It is estimated that by 2020, the volume of Big data will reach 44 trillion gigabytes. Interestingly, 80% of that data comes from “unstructured” sources. And social media one of the primary sources of it. Such an incomprehensible volume of data will work as instrumental for digital marketing. Besides, it will shape the social media experience like campaigning, etc., in a new way.

As social media is not a choice, somewhat a need for today's business, deciding on social media strategies is considered one of the Big data's benefits. Moreover, understanding how it helps in building a social media strategy is essential for businesses. This, in a broader context, decides the business's market penetration, brand engagement, and ROI. Let’s find the particular areas where it influences social media.

Big data gives a new face to social media marketing

As all contents are social media-based nowadays, big data social media provides better exposure to the business. It helps in comparing the same kinds of products, which provides better insights on the product features. The power of information not only helps in increasing productivity but also to improve decision-making in business and to lower costs. Another interesting point here is that this type of analytical data helps a company get savvy about their own business data and stay focused on improvement. Besides, it motivates them to remain competitive and optimizing their efforts.

Predictive analytics trends – the new ball game

Gone are the days when businesses used to depend on their past performance to strategize new business. Now, a business wants more clarity on the future effectiveness of the strategy before implementing that. This includes predicting customer behavior utilizing big data to leverage data meaning. It has been revealed that predictive analysis of Big data can increase operating margins even by 60% in some cases.

Big data market trends analysis through Customized algorithms

Customized algorithms are hugely influential for small businesses. It has been experimented by social media data analysts that are concentrating on individual business rather than competing with competitors is more effective. One of the main reasons for it is every business has its own goal and target. So, customized algorithms, which are particular businesses based, provide better results than generic algorithms.

Big Data for a better demographic view of the customers

Big data can provide a better demographic picture of the customers, region, age group, professions, genders, etc. This helps to track customer trends. Besides, it gives insight into the current performance of the product in the market and the future expectations of the customers for that product through their comments, reviews, ratings, etc. This, in other terms, is also defined as the sentiment analysis of the customers, which is a crucial parameter for decision making on the buying patterns of the customers in the future.

Creating a Social Media Strategy with Big Data

How can that be performed? As per the analytics experts, the unstructured data obtained from the big data is to be developed in a structured manner. Based on the insight, we can draw the best possible strategies that ensure the critical factor to obtain the customer satisfied results.

With the help of strategy, you can create content that suits the customers, which is crucial for the strategy's success. And then, you can target the audience from previous results. Big data plays a pivotal role in all marketing techniques. So, whatever might be the company, big data plays a vital role.

Big data in Social media campaigning

Using Big data, you can leverage the data meaning differently. It can track the changes in ROI and social media changes for your business. It helps marketers test the campaigns before they launch, analyze the result, make changes to the campaign, and reset it if required. Additionally, in case of the campaign's pause, predictive analysis can help to decide the possible loss in the campaign.

Furthermore, this campaigning can provide insights like peak timing of buying products, customer preferences, and behavior. Additionally, you will get step by step information on the purchase, which is very important from purchase and customer behavior tracking points of view.

How Big Data 3v connect with Social media marketing parameters

Big data 3v which are known as -

- Volume

- Velocity

- Variety

Are closely related to social media analytics data. How do we define them from the social media perspective?

Related post - 8 characteristics of Big data – features of Big data

Volume:  It is the number of data units to be shared on social media platforms.

Velocity: Velocity refers to the flow and pattern of data, whether it is a real-time or near real-time. Also, it indicates whether it is one time or repeated event.

Variety: This refers to the type of data used for social media analysis. It could be user comments, tweets, and shared posts. The platform used for the sharing matters here, like whether it is Facebook, YouTube, or Google plus, those are countable.

Conclusion

No doubt, Big Data tools will help you to empower your customer with the information. This will increase the business's productivity and improve the decision-making for the business, and lower costs. It is expected that social media platforms will continue at the same pace over the next few years. It will also carry on evolving into an online maze of commerce, content, and social interaction with the benefits of Big data.