3 Ways Marketers Should Use Data Science to Skyrocket Marketing Results

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First things first.

Data science is a complex combination of algorithm development, technology, and data inference. The purpose of “data science” is to solve complex problems that organizations face by means of analytics. In digital marketing, data science becomes critically important. It is the most real, concrete, and logical way to keep your progress steady and to improve it slowly. By analyzing your actions, you can identify the results that were eventually caused.

Well, if you’re into marketing and business, here are 3 effective ways to leverage data science to skyrocket your marketing results.

1. Advanced Customer Persona Research

Customer persona research is much more advanced today than ever before. Therefore, it may be more effective than any demographic description. Target personas are developed to personalize the marketing and selling process. By doing so, the user will have a better UX (user experience) while he/she stumbles upon content, a platform, or a product/service.

Data science-backed tools can bring change to the typical methods used by brands to conduct their market research process using only social media data. By listening, watching, and adapting to the present condition of today’s social media networks, marketers are capable to engage in conversations at a global scale to bring together broader data volume, and also to capture the most important trends and buzzes.

Here’s how to do advanced customer persona research:

  • Start by using social media analytics tools to research a central topic.
  • Pattern the general data and track the critical consumer conversations.
  • Clean the unnecessary data from your data sets regularly.
  • Monitor the discussion through a listening dashboard.
  • Once you get to understand your audience, try to become accustomed to using language that your specific selected audience uses. This will improve your engagement and conversion rates big time!

2. Forget Word Clouds

At one point, word clouds were the most reliable tools for analyzing social conversation and understanding discussions. In fact, word clouds are not really focuses tools, unless you’re very active. Otherwise, the information you’ll get could be unrepresentative and you’ll have to work more to avoid using all those irrelevant words.

Fortunately for marketers, there are better tools which are also based on the power of data science. Every digital marketer will be able to use these tools together with specific algorithms in natural language processing. Therefore, marketers will have an easier life while dealing with contextualizing the word usage and delivering meaningful insights.

Entity Analysis and Buzz Graphs are only two examples of such tools that will help you associate words with their semantic type in a much easier fashion.

3. Make Use of Community Groups

Data science can be your best friend when it comes to targeting specific social media groups. Everything begins with a community grouping campaign, which will start when you identify the topic areas where you can find good responses (feedback from customers).

Data science will do the rest of the magic. It will help marketers find and identify the most frequently discussed topics, all based on the frequency of the observed keywords. Then, all the topics will be analyzed to be classified through the social platform you choose.


Data science is probably the new “big hit” that’s taking the digital environment by storm. Because we “swim” in data each day, the importance of it will continue to grow as the time goes by. As a marketer or entrepreneur, you should immediately acknowledge the importance of data in your business success and you should start taking action now!

About the Author

Olivia Ryan is a young journalist who is passionate about topics of career, recruitment and self-development. She constantly tries to learn something new and share this experience on AussieWritings.com coursework service  as well as on other relevant websites.


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