How does Hotstar Use Big Data?

Big Data and Hotstar 

 

Big data is a field that aids in the analysis of data, the systematic organization of data, or the handling of large sets of data that are beyond the capabilities of typical data analysis software. 

 

In other terms, big data refers to a huge number of complicated data sets, particularly those derived from new sources. These data are so large that traditional methods have a hard time understanding them. This is when big data plays a great role. 

 

Big data also aids in the resolution of business issues that traditional methods fail to detect. The three v's of big data are volume, velocity, and variety. This is so that we can figure out how to measure big data. 

 

On the other hand, Hotstar is a popular streaming service in India. Hotstar recently partnered with Disney Plus, resulting in the rebranding of Hostar as Disney Plus Hotstar. Since its makeover, Disney plus Hotstar has gone mainstream.

 

The platform broadcasts Indian television shows in a variety of languages. And don't forget about the Indian Premier League's live streaming, which is available in six different languages. This is enough to understand why Disney plus Hotstar is so popular among Indians.

 

As of now, Disney plus Hotstar has 300 million active users, with 46.4 million of those being paid subscribers. Another reason for Hotstar's popularity is that it sells its subscription at a very low price. 

 

A vast amount of data is recorded daily for a company like Hotstar. Because handling this data becomes unfeasible for the organization, data technology is hired. Before we look at how big data is used in Hotstar, it's important to understand what big data is and how it may benefit a company.

How does big data benefit businesses?

 

Big data may be used to better understand the competitors. Big data is used by new entrants and exciting companies in every field, whether it's IT or health care. Every industry makes use of big data. Big data aids in the creation of new business opportunities. 

 

For marketing campaigns, big data has introduced a scientific element. It gives marketers tools to aid them with their marketing strategies. The majority of these businesses will be at the center of massive data flows including services and products, suppliers and buyers, consumer intent and preferences, and more. 

 

Companies in every business should work to improve their big data capabilities so that they can benefit from it. Learn more about applications of big data in daily life.

 

Impact of big data on Hotstar

 

The days of quarantine are over, but not the habit of binge-watching. Since the pandemic issue occurred, people all across the world have been looking for a way to pass the time. 

 

Almost everyone's favorite way to pass the time is binge-watching. Pandemic was a period when OTT platforms such as Hotstar, Netflix, and Amazon Prime Video were heavily used for streaming movies and series. These platforms are growing in number and becoming more technologically advanced. 

 

Big Data is one of the most significant disruptors to the growing rate of these platforms. Given today's population, this is a must because, as with everything else, the goal is to maximize proliferation. So, let's look at how Big Data affects the entertainment sector.

 

• Ad Targeting

 

Advertising began with the distribution of pamphlets, then moved on to radio jingles, and now we have advertising on social media platforms. The media sector currently has billions of viewers. It is essential to have a good placement strategy to compete. The frequency of ad play is extremely important in advertising. 

 

The main focus of advertising these days is when the audience watches specific content on which platform. Analytics provides reliable statistics on what and when the audience watches which content. Which advertisements the crowd watches and which advertisements they ignore reveal what their preferences are and what they may dislike.

 

 

• Prediction of viewers behavior

 

Customers are important to the company's success. The happier the customer, the higher the company's revenue. Big data collects all of the emotions of clients via their post messages and customer service. 

 

Big data offers the failure of viewers in seeing an advertisement, such as how long they watch an ad, what kind of commercials they favor, what kind of shows they prefer, and what kind of content they skip to watch, and so on. 

 

Big data also gives information such as the age group of the audience on various platforms and the type of mobile phones that they use. YouTube is a fantastic example of a platform that uses this information to understand its audience and provide content that they enjoy.

 

(Related blog: Big Data in Media and Entertainment Industry)

 

 

• Video Ratings

 

Big data has benefited services such as Netflix, Amazon Prime, and Hotstar. Similar to YouTube, these platforms rely on big data to forecast user behavior. These statistics, on the other hand, are extremely detailed and directly influence show production and retention. 

 

These platforms employ big data to determine which types of content are preferred by their customers and which are avoided in order to renew the show for the next season. They do the same thing before launching a new show on their platforms.

 

 

• Stream Scheduling

 

The concept of live streaming is gaining traction these days, whether on social media or in mainstream media. The audience appears to like the live webcast. Twitch is a popular platform for content creators to interact with their audiences in real-time. 

 

Advertisers make use of this opportunity to promote their products in front of their target audiences. Analytics assist in determining the best time to stream in order to connect with the greatest number of people, as well as what type of product will help in capturing the attention of the public at large as explained by goodworklabs. 

 

 

Hotstar uses big data to move its freemium users into premium users

 

The marketing team examines the four aspects in order to convert freemium subscribers into committed premium members.

 

• Individualized user experience

 

It is important to explore beyond demographics to acquire a better understanding of a consumer, such as what they like, what their work is, and how your product will affect their lives. 

 

How many times the user opens the app and what content they view, how long they watch a specific piece of content or how slowly the consumer can go to the funnel And what will persuade them to become loyal customers? 

 

Once user behavior is predicted, it is simple to work around it and move users along the funnel using content packaged and pushed based on a thorough understanding of user personas and psychographics.

 

(Also check: Why is Big Data Analytics in trends?)

 

 

• Recommend content according to the lifestyle

 

Subscribers may waste their money if they do not return to the platforms to examine the content after paying for the membership. Sports fans use Hotstar just when there is live streaming of a match, and they do not utilize it on other days. It is difficult to persuade these people to subscribe and enjoy all of the entertainment that Hotstar has to offer. 

 

To achieve this goal, the company identifies and categorizes individuals based on digital characteristics such as browsing and viewing history, content consumption patterns, and other preferences. If the user is a free platform user, move them through the funnel by proposing items from the Premium library that they are most likely to be interested in.

 

 

• Personalized messaging at the right time

 

Maintaining momentum with a campaign that may attract people's attention rather than simply moving stats. They had to send push notifications to millions of users, which they accomplished using clever tap, a customer lifestyle management and engagement platform that can send up to 25 million push messages per second. 

 

Making the connection was only one aspect of the plan. It was also important to identify the days and times of the week when various user categories are the most engaged and receptive to push notifications. In this procedure, Hotstar leveraged these insights to increase clicks thrice.

 

(Related blog: The science behind what clicks with the audience remains a mystery)

 

 

• Engaging with users in real-time

 

monitoring user activity to see how frequently and recently users used the keychain When a user watches something on the app and then abruptly closes it, this is interpreted as an opportunity to give them a push notification encouraging them to finish what they started. 

 

This allows Hotstar to have a better conversion rate and consumption of more content by users. (source)

 

To sum up, we can see how Hotstar uses big data to grow its business. We can strongly agree that Hotstar has been successful in this regard, based on the number of subscribers it has attracted. Big data has the potential to positively impact the business if utilized correctly.