How Big Data Helps The Mobile Gaming Industry

How Big Data helps the mobile gaming industry

Data analytics or big data is one of the most important things that happened in the twenty-first century. It is the best way to learn about, analyze, and change people's behavior in a world that is becoming more and more online.

Big data is the collection and analysis of data in order to make better decisions. It is something that humans have been doing since the beginning of time, but on a much bigger scale.

Probability equations have been used by mathematicians since the 17th century to figure out what will happen and how people will act. Mathematicians used to work with little pieces of data, but now they work with huge pieces of data that are really huge.

Since computers can process and store a lot of data, the amount of data that can be used is close to unlimited. Billions of data points can now be collected and analyzed in real time, which opens up a whole new set of possibilities.

Big data analysis is used in three main ways, no matter what industry or application it is used in. It is used to help people understand, which then helps them make better decisions, and then it is used to change their behavior in the future.

Let’s take mobile gaming for an example:

Understanding

Live data is collected as a large number of users play an online game. After analyzing this data, it is determined that a high percentage of players become stuck in a particular section of the game.

Additionally, the data reveals whether players persist in resolving the issue or if they exit and do not return. It enables game developers to gain a complete understanding of their gameplay experience and how users react to it.

Informed decisions 

While determining the difficulty of a particular moment in a game is one thing, this could be determined through pre-release testing. Understanding how real users react to that trickiness is critical to determining what to do about it.

If users find the challenge interesting and persistent in attempting to solve it, it should be retained. If users are deterred solely by the difficulty, the process should be simplified.

Influence

Due to the fact that big data is collected and analyzed in real time, it can be used to influence behavior through experimentation. Is it more effective to increase user engagement by simplifying a challenge or by changing the music that plays over it?

Big data enables analysts to rapidly segment users into test groups, experiment with various gameplay changes, and evaluate their effectiveness. It can evaluate the relative effectiveness of different demographics, gameplay experience, or any other subset of data in order to create individualized playing experiences.

Online slots and casinos are a good example of how big data is used in the mobile gaming industry. This phenomenal growth sector of the twenty-first century has incorporated big data into nearly every aspect of its offering.

By analyzing data from both their own users and competitors, they can fine-tune their gameplay in every way. Providers can track engagement from the player's initial search to the final moment on their site or app.

At the most fundamental level, this enables providers to determine which themes, colors, music, and graphic styles their customers prefer. Additionally, it will analyze user reactions to everything from button placement to the personalities of artificial intelligence or live dealers.

The greater the level and duration of a user's engagement, the more likely they are to spend. Online providers can increase engagement and thus revenue by utilizing big data to track, understand, and respond to user behavior.

The face value result of this is that the gameplay experience for each customer is constantly improved. However, there is another aspect to how mobile casinos use big data to boost their profitability: marketing.

Advertising and incentivizing are the two primary methods of marketing for online casinos. Both are made more effective through the use of big data.

Advertising

Marketers can now analyze every aspect of their advertising and its relative success or failure using big data. Ads and their placement can then be adjusted or even customized to maximize the effectiveness of every dollar spent.

Incentivising

Bonuses and promotions are another way for online casino providers to attract new players or reengage existing ones. For instance, 888 is currently offering new Irish players a 100 percent welcome bonus and free spins. To maximize the effectiveness of these promotions, big data is used to analyze playing trends.

For instance, a provider may discover that a certain demographic's trending lunchtime habits include checking Facebook and then playing roulette. Offering a deposit bonus or bonus jackpot in conjunction with a well-timed Facebook advertisement increases the likelihood of engaging those customers.

Similarly, big data analysis may reveal that customers are more likely to deposit during certain times of the month, such as around payday. At this point, a "double your deposit" incentive could significantly increase that user's monthly play.

Providers can track trending responses to all of the various types of bonuses and tailored promotions by utilizing data analytics. These can range from match deposits to free spins, or even theming promotions that capitalize on current global events.

Today, big data is incorporated into virtually every aspect of online gaming, most notably the casino and slot sectors. With the tremendous success that these data analytics have brought to the industry, it's clear that their use will continue to grow.

As techniques and capabilities advance, so will the use of big data to maximize online gaming success. When implemented responsibly, this will benefit everyone involved, from providers to users.

Providers will continue to look for new ways to increase engagement and revenue while also expanding their user bases. By the same token, users will notice that their gameplay experience is constantly being enhanced and tailored to their individual preferences.

The potential benefits and influence of big data are limitless, at least in this particular industry.