Data Science for an Effective Content Marketing

The Data Science course in Delhi is a very popular option for content marketing professionals. Why?

Do you really know what drives the success of any online business today? Yes, its content and marketing content through the website, social media platforms, and video channels require hands down expertise in understanding various marketing research forums.

According to a recent survey on digital marketing jobs, every company with an annual turnover of $1 million or above either has a content marketing team or plans to hire at least two marketers to manage content by 2023. In recent months, content marketing has grown as a prolific job market option for professionals across industries. And, with it is competing for space and stature, the sexiest job of the 21st century- Data Science.

Could these two co-exist and benefit your career in the long run?

Experts believe, yes they do.

How does Data Science benefit Content Marketing Professionals?

Every online business today is a content marketing entity. An organization produces anywhere between 1 GB and 30 TB of content every month, depending on the size of their marketing team and the region they are targeting. Product-driven marketing teams are likely to produce more content compared to a service-based company. Data science is a helpful enabler for content marketers — Understanding the nuances of content and its influence on customer engagement plays a huge role in crafting a powerful content marketing calendar.

Popular Data Science Domains for Content Marketers

If you are a content marketer, the first thing you could possibly learn in the data science course in Delhi is “website analytics”. Nearly 73%, which is almost two-thirds of the engaged content marketing professionals, agree that learning website analytics is the number one priority for them to monitor their existing content marketing performance.

What is Website Analytics?

Websites produce truckloads of data every day. If you do website marketing properly, your website could also become a potent source for first party data. This means your website could become a source of data collection, tracking, and analysis, which means, if you train as a data scientist or analyst, all this data could come in handy to your current data science projects.

Commonly tracked website analytics indicators include Visitors per hour, click through rates, unique monthly visitors, total page views, and bounce rate. If linked to other marketing campaigns such as email marketing metrics and social media intelligence tools, you can actually turn your website analytics into a very powerful media to build your marketing campaign, using CRM information.

By learning data science, you can combine the learning of digital marketing with big data intelligence to further improve the performance of your website as a very reliable source of content marketing.

Why Content Marketers Fail?

90 percent of the content produced never reaches the target audience.  Why does this happen?

The number one reason, and probably the only reason that can be measured and accessed using technology, is the lack of business intelligence tools that content marketers could use to plan their content marketing campaigns. Only a handful of tools, that too paid ones, are available and these are mostly part of SEO / SEM Planning decks that give keyword performance indicators. Content creation, together with its distribution and promotion, is a cost center for any company. Failing at it so often could eat into the company’s marketing budget.

That’s why more and more companies are hiring content marketing professionals who have certifications in data science, business intelligence, etc. These certified professionals are better suited to transform the company’s existing portfolio and recreate a better scope for content creation, promotion, and re-targeting using data science techniques.

The popular techniques used by content marketers include:

  • Voice
  • Language translation
  • Video captioning
  • Real-time content discovery
  • Content searchability
  • AI-based Content Distribution, such as programmatic advertising and recommendation

Data Science + Content = Fun Job

We are already hearing a lot of buzz around the content marketing jobs influenced by data science applications. Of course, a large percentage of content is still impacted by SEO results, but thanks to AI and Machine learning algorithms used by Google, Microsoft, Facebook, Twitter, and YouTube, we are increasingly moving to a new space in the industry.

Robotic automation, Content personalization, customer segmentation analysis, and sentiment analysis are seen as must-have skills to master, that have suddenly helped hyper-influential platforms like Amazon and Netflix to extend their lead over the competitors. Content marketing with data science is a cool dimension to explore.