Smart system for gamers

Smart system for gamer churn prediction

Agile player engagement analytics software.

53%

gamer churn prevention

3X

improved data accuracy

32%

player loyalty boost

Challenge

Inaccurate user-behavior analytics and prediction of player attrition.

Solution

Development of a player churn predictive software solution for analyzing gamer accounts and identifying those likely to quit.

Tech stack

Java, Hadoop, C#, TensorFlow, React, Node.js, MySQL.

Client

Our partner is a major US game development company offering professional gamers and amateurs a diverse range of video games to enjoy. With player retention becoming a critical challenge in the highly competitive gaming industry, the company decided to hire experienced gaming industry engineers for the development of a gamer churn prediction system. The goal was to predict player attrition and take proactive measures to enhance player engagement and retention.

Challenge

Smart system interface

Our client wanted to harness the power of predictive analytics for gaming to know at what point players might churn or stop playing. The challenge was to create a gamer behavior analytics software that could analyze players and identify early signs of disengagement. The game development company experienced a lack of the necessary in-house expertise to fulfill the idea and had to tap into the pool of Modsen specialists to build the churn reduction solution they required.

Our team was assigned a complex yet curious set of tasks to implement:

  • Build a system for regular player base check.
  • Develop a high-accuracy game quitting prediction algorithm.
  • Add a built-in player account re-evaluation feature.
  • Develop a predictive analytics system capable of processing a vast amount of player data.
  • Identifying key indicators and patterns that suggest potential churn.
  • Create an automated notification system to alert administrators about at-risk players.
  • Design an intuitive dashboard for visualizing player engagement data.
  • Ensure the system's scalability to accommodate a growing player base.
  • Implement a seamless integration process with the client's existing gaming platform.
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Team

2

Data Scientists

1

ML expert

3

Software Developers

2

QA testers

1

UI/UX designer

1

Business Analyst

1

Project Manager

1

Team Lead

Modsen project manager

Development process

Requirements gathering and processing

To build an innovative gamer analytics software, we focused on conducting multiple online meetups with the client to understand the intricacies of player behavior, potential churn factors, and the client's specific goals. The insights we gathered guided the definition of the system's features, data analysis parameters, and the creation of a robust player engagement prediction model. To make sure there are no misunderstandings on the key aspects of our joint project, Modsen team specialists documented the full scope of client requirements.

Planning

Efficient planning lays the foundation of every successful software development project. Adhering to Agile methodologies, our experts meticulously drafted the project roadmap, considering our previous experience in building predictive analytics and data-driven applications. The planning phase included milestone setting, human resources allocation, meetup schedules, and other vital project development elements. Collaborating closely with the client ensured that the project plan was aligned with their initial vision and expectations.

Team assembly

Getting matched with a reliable and expertised gaming industry software development team secures 80% of the project success. With that in mind, our partner turned to Modsen as a proven vendor of game development professionals for hire. Our focus was on selecting in-house engineering talents with deep expertise in data science and predictive analytics, having a solid background in the gaming sector. The team selection process was performed by the CTO who cherrypicked the most suitable candidates, conducted tech interviews, and presented the chosen professionals to the client for the final decision-making.  

Design

Our Modsen Design Studio UI/UX experts undertook a comprehensive design approach to craft a simple and intuitive dashboard that displayed the key system’s features and allowed for prompt analysis and decision-making. The designing process involved UI/UX research, strategy development, wireframing, visual design, and prototype testing. We were committed to ensuring that administrators could easily monitor player behavior and make data-driven decisions to enhance player retention.

Software engineering

The heart of the development process lies in the product code-building phase. Leveraging the latest data analysis tools and technologies, Modsen senior-level developers embarked on building a robust and scalable churn reduction solution, utilizing their rich experience in tackling similar predictive analytics software challenges. Strong in-house processes and focus on cohesiveness, open communication, and collaborative issue resolution resulted in efficient and timely product development.

Comprehensive testing

The testing phase involved a broad range of assessments, from identifying predictive accuracy to examining system scalability. The rigorous testing covered functionality, performance, security, and usability tests performed both manually and automatically. The process also included assessments of data accuracy and the effectiveness of the prediction model. All the detected code issues were thoroughly documented and promptly addressed by the engineers’ team to ensure impeccable long-term software performance.

Integration

As the development process neared its completion, our experts prepared the technical documentation and user guidelines for transfer to our partner. Ensuring hassle-free deployment and dependable post-launch support was our priority during the integration process, which enabled our client to get used to the prediction system's features and start implementing engagement strategies for player retention.

Servicing and further cooperation

In the gaming industry, where player preferences change rapidly, we maintained an ongoing relationship with our partner to be able to refine and improve the prediction system timely. This approach has led to an enduring partnership, facilitating the evolution of our client's player engagement strategies.

Result

The smart system for gamer churn prediction has transformed our client's approach to player engagement and retention. Key application features included predictive analytics, automated notifications, and real-time data visualization, the successful implementation of which the company’s player retention improved significantly, leading to enhanced long-term customer relationships and sustained business success.

53%

Gamer churn prevention

x3

Enhanced data insights accuracy

32%

Player loyalty rate increase

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