Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Will Gaming Platforms Adopt AI for Customer Risk Profiling?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Artificial Intelligence > Will Gaming Platforms Adopt AI for Customer Risk Profiling?
Artificial IntelligenceBig Data

Will Gaming Platforms Adopt AI for Customer Risk Profiling?

Alex.Matthew
Alex.Matthew
5 Min Read
AI helping gaming industry
Shutterstock Licensed Photo - By Phonlamai Photo
SHARE

The gaming industry is growing at an unprecedented rate. Most experts predict that it will be worth $2.2 trillion by the end of 2021. A number of factors are converging to drive the rapid growth in this sector. At the same time, some of these factors are creating new risks that must be monitored carefully.

Contents
Mitigating the risk of fraudOptimizing for highest ROI customers with paid traffic

One of the biggest concerns is the risk of fraudulent customers or losses incurred from unprofitable players. Global gaming brands will need to invest in big data solutions to tackle these problems.

Here are some of the actuarial risks that customers may present to digital gaming brands and the measures that they will need to take to address them.

Mitigating the risk of fraud

Fraud is a very prevalent problem among many gaming platforms. It can manifest in a variety of ways:

More Read

6 Questions to Ask for Real Insight From Big Data
Musings on Watson: Why Healthcare?
Who’s in Charge of Your Data?
Predictive Analytics World
3 Spectacular Ways AI and Big Data Are Revolutionizing Cybersecurity

People may violate the terms of service by selling their accounts. They may even sell fake accounts to swindle unwitting players. This was a problem a few years ago, when a Reddit user claim that they were selling their Steam account. Other users quickly realized this was a scam.

Some platforms offer customers the opportunity to win money. They may be competing against other players or the house’s online casino platform. With online poker, strategy games simulations and other play for pay systems, they may attract a number of cheaters. Gaming brands must pay close attention to the people that abuse their platforms and try to prevent them from signing up in the first place.

Some people may use these platforms to try to find sensitive information about other players. They can then use this to work around the security questions and other fraud prevention safeguards.

Big data helps these brands assess the threats that individual players may create. They can perform an actuarial analysis before allowing them to create an account. This may entail analyzing:

  • The risk profile associated with their region of origin.
  • Whether or not their IP addresses associated with any Tor nodes or blacklists that are regularly used by hackers.
  • If their names are on any fraud watch lists.
  • The type of payment provider they are using to make deposits.
  • The number of accounts that have been created from similar IP addresses.

Big data has made all of this possible. Gaming brands can store IP records for 90 days or more. This makes it easier for them to check for users with multiple accounts, which may take in the risk of fraud. They can also access industry data and relevant criminal data to identify possible fraudsters. This process can be automated with new Hadoop tools that have APIs that can connect to public records and industry databases.

Optimizing for highest ROI customers with paid traffic

Most gaming brands have discovered that certain types of customers are going to offer more value over the long term than others. This is especially true with older customers, because they have more money to spend.

Brands must take this into consideration when outlining their marketing strategy. This is especially true for gaming brands with CPA marketing strategies. Since they are paying affiliate marketers for leads rather than sales, they must make sure the customers they reach are going to offer the highest ROI.

According to an expert by Slotsino, a growing number of gaming affiliate programs have teared payments that are adjusted to reflect the value customers of a certain age will bring. For example, IMVU used to be one of the largest gaming brands that I have promoted as an affiliate. They paid $1.85 for subscribers I referred that were between the ages of 18 and 24. They paid five dollars a lead for customers that were over 30 years old. They clearly knew that old are you serious where likely to bring in over 2.5 times more revenue.

Brands clearly leverage big data to assess the value of these users, which helps them decide how much money to spend reaching individual users. They presumably set similar budgets with PPC and other marketing campaigns as well, since most platforms allow them to optimize by user age.

TAGGED:AI and gaming platformsAI gamingartificial intelligence
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

predictive analytics for amazon pricing
Predictive Analytics

Using Predictive Analytics to Get the Best Deals on Amazon

8 Min Read
artificial intelligence
Artificial Intelligence

AI Developments Which Will Shape Our Future

6 Min Read
business Data and AI
Artificial IntelligenceBig DataBusiness IntelligenceExclusive

How to Prepare Your Business Data for Artificial Intelligence

8 Min Read
AI in healthcare pros and corns
Artificial IntelligenceExclusive

Artificial Intelligence and Healthcare: What You Need to Know

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?