Big Data & Publishing Industry

How Big Data Helps Digital Publishers Boost Revenue and Retain Customers?

Big Data & Publishing Industry

The media and entertainment industries have constantly been at the forefront of adopting new technologies. The key business problems that drive media companies to look at big data capabilities are the huge operational costs in an ever-increasing competitive landscape.But now, digital publishers yearn to generate more revenue from delivering content and data through multiple platforms.

The rapid technological advancement in the new era is disrupting both the publishing sector and their customers. With the emergence of e-readers, mobile apps and e-books, the publishing companies surely don’t want themselves to be left behind. In fact, digital publishers are now aggressively pursuing every possible manner to optimize their digital content to gain larger online presence.

Moreover, publishers often try to optimize their online content by imitating the creative process followed by the film and music industries. But once online publishers gain a set of loyal customers or subscribers, the customers’ base itself acts a key to higher customer retention and increased revenue.

But how can publishing companies utilize significant data support to improve search, personalize content, and continuously test their search engine functionality for optimizing subscription revenue? How does big data assist online publishers to retain customers andboost their business revenue?

Read along to discover how!

Linksand Optimizes Repositories

Owing to the rate at which huge volumes of books, articles, blogs, essays, thesis, and several other data sources are flooding the internet, online publishers could easily find and attract diverse subscribers and audience with least efforts. But with this move, there emerges another challenge. After gathering multiple contents from various sources, it is again a gigantic task for digital publishers to manage them systematically.

So, how dopublishers use them to provide online usersa Google-like search experience?

Fortunately, this is where big data architecture comes in handy as it systematically links and optimizes several repositories all at one place. Digital publishers mustuse big data architecture to ensure proper data processing, enrichment and indexing. Another best way to let customers find your content online easily is by enabling a buy or subscribe feature. This feature allows customers to follow and find your content online faster.

Publishers must understand that if customers can’t locate your content online, they can’t buy or subscribe to it. Simple as that.

Big Data & Search Engine

Major online publishers combine search with big data. This yields in numerous benefits such as collecting, organizing, and indexing enormous contents from diverse repositories with ease. The idea behind such combination is to enable faster search and to be found easilyfor online customers.

Additionally, customers can access content from anywhereirrespective of the device they use. For publishers, ithelps to systematically examine search logs as well as on-page behavior to analyze their customers’ preferences and personalize content as per the user. In a way, the combination of big data and search engine examination helps in digital publishers to optimize customer experience as well as boosttheir sales revenue.

RefinedUser Experience and Publisher’s Revenue

Big dataframework functions for the digital publishers in the same way that it performed for an e-commerce personalization( or video recommendation engines such as YouTube. One of the best examples is that companies like Bloomberg, Pro-Quest and Business journals integrated big data framework to measure the number of subscribers and visitors logging or landing onto their websites daily. Sometimes on hourly basis too.

To summaries in three simple points, this is how the common big data framework functions :

  • 1. Collects raw user and content data from subscribers’ profiles, search queries, authors, metadata, taxonomy setup downloaded documents, etc.
  • 2. Processes and analyzes user log and content data within Hadoop.
  • 3. Feeds the results into a search engine which eventually delivers relevant results and custom recommendations throughauser’s website or mobile browser.

As the final step, with the help of automated machine learning, digital publisher can conduct powerful cross analytics between user browsing habits (unstructured data) and content (structured data) andenhance personalized search and browsing experience.

Final Thoughts

Publishers must note that the widespread utilization of big data within the publishing and media industry doesn’t solely depend on successful implementation of specific technologies and solutions. Online publishers are highly recommended to consult and seek assistance of a reputed software consultant firm to develop and manage their custom-built web applications.Publishers, as a mostly customer-facing, revenue-generating economic sector, has many critical needs in data curation and usage. Therefore, it is very important for online publishing businesses tounderstand and know what big data offers and that the non-technical aspects like human resources and regulations arealways in place and never violated.