Report Portfolio 2017-05-29T15:18:58+00:00

Audience Reports

Use Empirical Data to Inform Your Game Production & Marketing Decisions

Whether you have an existing game title/franchise or have a new game in development, we can provide data-driven insights about your audience.

A Quick Note on The Science and Data Behind Our Reports

Our Gamer Motivation Model

We used established psychometric methods and data from over 220,000 gamers to develop an empirical model of gamer motivations. Here’s all that data distilled into a single table.

Gain Rapid Insight into Gaming Motivations

We generated this report using data from over 170,000 gamers between the ages of 15 and 64. The data was collected from our Gamer Motivation Profile tool–a 5 minute online survey that produces a personalized motivation report for gamers. See the full description of this report for more details.

Motivation Insight Report

Gain rapid insight into motivation trends and game preferences by gender and age in this data-driven 55-page report.

  • Learn how gaming motivations do and do not vary by gender and age in easy-to-read charts.
  • Get concise explanations of what different demographic segments look for in games.
  • Use these segments to develop personas and tailor effective messages.
  • Be prepared for how the gaming market will change as the 35+ segments grows.
Learn More About This Motivation Insight Report

Prioritize Game Development with our Game Audience Reports

The chart shows the percentile rank of this audience across the 12 gaming motivations in our model. A percentile of 50% is perfectly average. Thus, the audience in the example chart cares the most about Fantasy and Design, and the least about Excitement and Destruction.

To get a better sense of the exact information provided in each game audience report, see this example Minecraft report.

Compare profiles against the genre benchmark or slice the profiles by gender, age, region, or platform. Contact us to learn more about custom audience reports.

Game Audience Reports

Prioritize game development by identifying the most and least important gaming motivations of a specific game/franchise, genre, or demographic segment.

  • Game audience reports contain the demographic and motivation profiles for specific game titles or game franchises.
  • Motivation profiles quantify the most and least important motivations for a given game audience (across the 12 motivations in our model).
  • Audience reports also provide a ranked list of other games popular within each game audience, highlighting closely related games (even if they are in a different genre).
Contact Us For Game Audience Reports

Identify Opportunities with Game Space Mapping

Note: While the axes and game locations are based on our data set, the heatmap values shown above are for illustrative purposes only.

Game Space Mapping

Identify overcrowded and underserved areas in a game genre space.

  • Given a few seed games of interest, we can identify the most closely related games based on our audience data.
  • Using factor analysis, we can identify the primary motivation dimensions of this audience and generate a map of this game neighborhood.
  • These maps surface genre taxonomies or sub-categories.
  • We can then use an audience density overlay to identify areas that are overcrowded vs. areas that are underserved.
Contact Us for a Game Space Map
With 2 axes and 12 motivations, there are 66 possible combinations–too many to manually go through. Ideally, we’d like axes that surface the main motivational differences within a game space. This is possible via a factor analysis which identifies and combines highly correlated motivations to create a condensed visualization of a game space.
The axes combine highly correlated motivations (whether these are positive or negative correlations) into a single dimension (i.e., each axis). For example, games on the left have audiences that score high on Power and low on Story, while games on the right have audiences that score high on Store and low on Power.
Areas that are lighter contain more gamers than areas that are darker. The heatmap was created using audience motivation densities in our data set.

Identify Distinct Player Types with Customer Segment Analysis

Using our data set, we can estimate the frequency of each segment in your target audience. Thus, our customer segment reports provide not only the combinations of motivations and demographics that do together, but also their relative frequency in your audience.
Because most psychometric variables are normally distributed and thus form a multidimensional cloud, traditional clustering algorithms (such as K-means) often have trouble identifying clean clusters. In our experience, we’ve had better outcomes with archetypal analysis that uses more extreme (and easier to interpret) cases to identify clusters.

Player Segment Analysis

Identify your player segments and target them with specific features and messaging.

  • Game audiences are not homogenous, and may be composed of several distinct underlying segments.
  • We use cluster analysis on our audience data to identify the distinct segments within a game title/franchise/genre.
  • The report provides the demographic and motivation profile of each segment.
  • Understanding how motivations group together enables targeting those segments with specific combinations of game mechanics, monetization options, and acquisition messaging.
Learn More about Player Segment Analysis
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