Big data in the online gaming industry

Big data is increasingly used in the technology-driven market of the 21st century. Using the method of collecting a lot of statistical information about customers allows entrepreneurs to significantly improve their services. The online casino sector is an area of ​​the Internet where competition is simply merciless. The big players in the industry need to become leaders in data analytics for personalized services to thrive and outperform the competition.

Big data in the online gaming industry

Combination of quantity and quality

The data that can be collected about online casino users is vast. They represent an interesting combination of quantitative and qualitative data. By examining these two sets at the same time, an online casino can get information that will help them decide which bonuses to offer, which games to add and how to develop them.

Quantitative data provides site operators with information about the amount of money and time that users spend on a particular game. Site owners can also sort out which sets of games the same player prefers. Is the roulette fan stuck with just this game, or is he still interested in slot machines? The online roulette section of 32Red offers players 6 different options, including European and French roulette. Do users only play one of these games, or do they prefer to switch from one to the other? After analyzing this data, 32Red can decide whether it would be worthwhile to add more online roulette options or to improve one of the proposed ones.

Qualitative data can be collected through questionnaires and surveys. With their help, you can find out what customers like about certain games and why. Such feedback will help find ways to improve games and help operators decide on the choice of offers. Thus, you can easily find out what types of games and topics users prefer.

Demographic Research

Of course, online casinos can also rely on a wide range of research conducted at universities. One of them showed that slot machines are mainly preferred by female homeowners aged 55-60, whose annual family income is more than $50,000. With the help of such facts, casino sites can track other preferences of the target audience. Having learned what interests typical female homeowners, operators will be able to choose the right theme for slots.

According to additional research by Oregon State University's Sandy Chen, some slot machine enthusiasts are young adults who are intensely thrill-seeking. They are attracted to themed games and games in which luck plays a significant role and which offer high rewards. To attract such users, online casinos can offer bonuses in the form of free spins and the chance of doubling winnings in high-stakes games.

Big data in the online gaming industry

Understanding the customer base

This is an example of how data can also show how certain bonuses and promotions make customers want to come back. Having sorted out the client base and checked the online casino reviews, they can offer bonuses that attract more visitors. 32Red is offering an intriguing welcome bonus of $32, which is not just about beating the competition, but also promoting the brand. Golden Riviera Casino has taken a different approach in its pursuit of loyal customers. It offers a 3-step deposit bonus which is 100%, 25% and 50%. Some casinos also provide players with a welcome bonus to choose from.

With the increasing number of ways online casinos are using big data to gain more customer insights, in the coming years online resources will be able to develop a personalized experience for each individual player.