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Why Good Games Go Bad: Researching Engagement in the AAA Video Game Industry through Gamer Insights

Duration: 10 months

👩🏻 Role: Lead Researcher

🧰 Tools: Qualtrics, Google Sheets, SPSS, NVivo, API

🔍 Methods: Surveys, Affinity Mapping, Cross Tabulation

📝 Executive Summary

The case study focuses on understanding engagement dynamics in the video game industry. It explores the relationships between AAA publishers and consumers, categorizing gamers into types based on their interaction patterns. Employing a mixed-methods approach, including surveys, textual analysis and comparative analysis, the research uncovers distinct engagement behaviors and the influence of consumer identities. The findings suggest that publishers should tailor their strategies to diverse gamer identities and actively engage with online discussions. This study enriches engagement theory and underscores the evolving nature of consumer interactions in digital spaces.
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📖 Introduction

This project delved into the complex dynamics of consumer engagement in the video game industry, specifically focusing on AAA game publishers. It investigated how these publishers interacted with consumers and how gamers engaged with each other in this digital environment.
 

The research categorized gamers into different types based on their engagement behaviors to reveal the diverse ways these interactions took place and their consequences for both the industry and the gaming community. Employing a comprehensive approach that combined qualitative and quantitative methods, the study aimed to offer a nuanced understanding of the intricate and multifaceted nature of gamer engagement in the fast-changing video game industry.

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🔍 Research Methods

The study employed a mixed-methods approach, including qualitative and quantitative analyses.

Quantitative Analysis of Survey Data

Statistical analysis of responses from a survey conducted among gamers to understand their engagement behaviors and perceptions.
 

Qualitative Analysis of Textual Data

Examination of textual evidence, particularly from press releases and online platforms like Reddit, to explore consumer-to-consumer and business-to-consumer engagement behaviors.
 

Comparative Analysis

Comparing different types of gamers (casual, average, hardcore) in terms of their attitudes towards publishers, engagement practices, and reactions to game promotions.

📆 Process

Jan 2018

Project submitted to TAMU IRB for approval. Approval granted.

Mar - Apr 2018

Collection of press releases and Reddit discussion threads using API coding. Over 2,500 pieces of data organized in NVivo. 

May - Sept 2018

Analysis and reporting period for the data

Feb - Mar 2018

Participant recruitment begins for survey.

Apr 2018

Survey period complete. Total of 213 survey collected and added to SPSS for analysis.

Oct 2018

Results presented to committee and report submitted.

🔬 Findings

Diverse Engagement Patterns

Different gamer types (casual, average, hardcore) exhibited unique engagement behaviors and preferences. This diversity highlighted the need for tailored approaches in engaging these segments.

Perceptions of Industry Practices

There were varying perceptions among gamer types regarding the practices of AAA video game publishers. Understanding these perceptions is crucial for publishers to address any misconceptions and improve their relationship with gamers.

Engagement Motivators

The study identified key factors that motivate gamers' engagement. These included aspects like game quality, community aspects, and the reputation of the publishers.

Communication Preferences

Gamers showed distinct preferences in how they wish to communicate with publishers and fellow gamers. This insight is valuable for improving communication strategies.

Impact of Marketing Strategies

The effectiveness of various marketing strategies differed among gamer types, indicating the need for more personalized marketing approaches.

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 👍 Recommendations

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Tailor Engagement Approaches:

  • Customize approaches for different gamer types (casual, average, hardcore).

  • Consider unique preferences and engagement behaviors.

Improved Communication Channels:

  • Enhance responsiveness and transparency in communication.back, provide support, and encourage dialogue.

  • Make gamers feel valued and heard.

  • Facilitate feed


Community-Centric Features:

  • Incorporate social elements like forums, chat systems, and cooperative gameplay modes.

  • Promote community building within games.


Feedback Loop and Diverse Content:

  • Establish a feedback loop for regular input collection.

  • Implement gamer insights for improvement.

  • Offer diverse game content, including various genres, storylines, and difficulty levels.

  • Appeal to a wide range of gamers.


Transparency in Game Development:

  • Share behind-the-scenes insights and developer diaries.

  • Build trust among gamers.


Ethical Monetization Strategies:

  • Prioritize fairness, cost transparency, and providing value for money.

💭 Reflections

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Upon reflection of the study, several key insights emerged.

 

First, it became evident that the combination of quantitative and qualitative research methods proved invaluable, offering a more comprehensive and nuanced understanding of gamer engagement.

 

Second, the study highlighted the challenges in obtaining a representative sample, emphasizing the importance of broader and more diverse sampling methods in future research to enhance validity.

 

Additionally, the research shed light on the rapid evolution of consumer behaviors and preferences within dynamic industries like gaming. Striking the right balance between the depth of analysis and the breadth of data was a learning point, suggesting that future studies might benefit from placing a greater emphasis on in-depth qualitative insights.

 

Finally, the study underscored the impact of the gaming industry's fast-paced nature, emphasizing the need for continuous research and adaptation to prevent findings from quickly becoming outdated.

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