Skip to main content

Value of Big Data in Marketing

Big data gives us eyes and ears on our marketing activities. It captures insights into our prospects and customers at a level of detail that has never been possible before. At the moment, we can respond to audience actions in real-time and drive customer behaviour. Big data is changing marketing and sales in areas that only a few years ago seemed unachievable.





Types of Big Data for Marketers


1. Customer Data

Data from consumers allow advertisers to consider their target audience. This type of apparent data is facts such as names, email addresses, purchase history, and web searches. Just as important are indications of the attitudes of your audience, which can be gathered from social media activity, surveys, and online communities. (Pearlman, 2019)

2. Financial Data

Financial information allows us to assess and improve performance. The numbers, expenditures, and earnings of your company on sales and marketing fall into this category. Pricing can also include the financial data of companies. (Pearlman, 2019)

3.Operational data

The organizational data is all about business processes. It may concern shipping and storage, customer relationship management systems, or hardware sensor input and other sources. Analysis of this data can lead to performance improvements and cost reductions. (Pearlman, 2019)


The Benefits of using Big Data for Marketing



1.Understanding the Target Audience
Marketing's primary goal is to attract more and more customers on board. Hence all of your strategies must be developed explicitly with their target audience in mind. The goal should be to make every lead a valued customer for the enterprise. Competition today is genuinely intense. Through analyzing big data, marketers can get a treasure trove of useful insights relevant to their target audience, every organization has to put extra effort into attracting its target audience through its marketing initiatives. These insights are helping marketers curate more robust campaigns for their target audience. (Warner, 2019)

2.Better Understanding the Competition
Companies must gain an additional edge over their competitors. This is precisely where the role and solutions of Big Data Analytics are at stake. Competition data can be collected and analyzed in such a way that marketers can gain valuable insights into their opponents. These insights could be linked to the competitor launch of a new product or service. These insights can also be connected to a competitor's marketing campaigns. Marketing professionals can find out about the competition and its strategies work. (Warner, 2019) 

3.A better understanding of Industry Conditions
Marketers can understand market conditions or industrial conditions through large-scale data analysis. You will read more about the patterns and opportunities of sectors. Such knowledge can be beneficial in the development of new marketing strategies. They can also use big data to learn more about the past of their company. Big data analysis, in many ways, assists marketing professionals.analyzes.  A Smart Big Data Strategy certainly helps marketing experts to plan more effectively. (Warner, 2019)

Example of big data in marketing

  • Elsevier 
Elsevier has 430,000 peer-reviewed research papers published every year and is the world's largest supplier of scientific, technical, and medical information. Big data and a multi-cloud environment provide an efficient way to monitor journals and books closely during their entire life cycle and to plan resources for production and marketing support in a more efficient way. These articles come from a wide range of global resources. Various servers and outlets around the globe merge extensive data to form a single global marketing messaging plan for a variety of regional marketing efforts. (Pearlman, 2019)



Reference
  • Pearlman, S. (2019). Big Data in Marketing 101 & Why it's Important. [online] Talend Real-Time Open Source Data Integration Software. Available at: https://www.talend.com/resources/big-data-marketing/ [Accessed 24 Feb. 2020].

  • Warner, J. (2019). Why Marketers Should Tap Into Big Data. [online] business.com. Available at: https://www.business.com/articles/big-data-marketing/ [Accessed 24 Feb. 2020].




Comments

  1. Very well explained how we can use big data as marketers.

    ReplyDelete
  2. Detailed information. Thanks for sharing

    ReplyDelete
  3. Great content! Well written! Thanks for sharing

    ReplyDelete
  4. Very much informative and interesting thing about Marketing ,Area,Culture,Locality very well explained. Knowlagable Blog.........
    Waiting for next..................

    ReplyDelete
    Replies
    1. Thank you for Your valuable feedback!
      New content coming up soon!
      Stay tuned!

      Delete
  5. Lucid and informative! Enjoyed reading it.

    ReplyDelete

Post a Comment

Popular posts from this blog

3V's of Big Data

Businesses are generating massive amounts of data through its various data points and business process. Small companies can collect all the generated data into tools like excel sheets, accessing databases, and other devices. But in the case of huge businesses, the data which they generate cannot fit into such tools which cause human error instance to be increased drastically due to manual processing. 3V's of Big Data.   1.       Volume        The name Big Data itself has to do with a vast size. Data size plays a significant role in assessing meaning from the data. (Guru99.com, 2020) For Ex: Facebook has 2.37 billion users, Youtube has 2 billion users, Instagram has 1 billion users, and Twitter has 126 million users. All users of these social media share trillions of posts, images, videos, tweets, etc. Just think about the volume of data generated every single minute.  (Big Data Framework, 2019) 2.     Variety         In earlier days, s

Introduction to Big Data

Big data is more extensive, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can't manage them. But these massive volumes of data can be used to address business problems you wouldn't have been able to tackle before.  (Oracle.com, 2014) Types of Big Data 1. Structured Data Any data that can be stored, accessed, and processed in a fixed format is called structured data. 2. Unstructured Data Any data with a form or structure unknown is labelled as unstructured data. A typical example of unstructured data is a heterogeneous source of data that contains a combination of simple text files, images, videos, etc. 3.  Semi-Structured data Semi-structured data may contain data in both types. We can see semi-structured data as structured in form, b ut it is not defined explicitly in relational DBMS with, e.g., a table description. Semi-structured data, for e