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Game Analytics: Basic Definitions - Part 2

Posted by Greg Kathol

Oct 29, 2014 8:31:21 AM

Recently we talked about the importance of video game analytics and how to prepare for an analytics platform, covering event logging, SDK installation and data storage options in part 1 of this series.

Today we’ll be going over the basic definitions that you should know when using a game analytics platform. The language can be overwhelming and confusing at first due to the use of acronyms, but they’re very easy to understand and self-explanatory. Each of the basic definitions represent what we call KPI’s - Key Performance Indicators - measuring different aspects of how well or bad your video game is doing.

The first five top-level definitions you’ll want to add to your game analytics vocabulary are DAU, MAU, DAU/MAU, ARPU and ARPPU. If you’ve used an analytics platform before, you may know what they mean. Here are some basic definitions, applied to gaming:

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Topics: Game Analytics, Video Game Analytics, Mobile Game Analytics

Ninja News Roundup: 2014 Gaming Trends and Buying Into Alpha Funding

Posted by Ninja Metrics | Blog

Jan 10, 2014 11:52:00 AM

With the start of the new year and some exciting emerging technology from events like CES 2014, we’ve put together a weekly roundup of the best video game, analytics, and social-gaming news/insights. Take a look at a few of our top picks from the last week:

2014 Gaming Trends: Wearable Tech, VR, and AR at CES

Last year, Oculus made headlines by raising over $2M for its first iteration of a Virtual Reality gaming headset called the Rift. Earlier this week, the company made a return at CES 2014 by debuting its second prototype, call the Rift “Crystal Cove” - adding 1080p, an AMOLED screen, and several other features.

 

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Topics: Game Analytics, Video Game Analytics, Game Development, Game News, Game Industry

The Fruit Basket Factor: Rational Churn Prevention

Posted by Dmitri Williams

Dec 4, 2013 8:08:00 AM

All players are not created equally, and frankly, not all are worth keeping.

How can a developer decide which is which, and what to do about it?

There’s a very logical answer here that combines 1) the worth of the player with 2) the likelihood of them leaving. So first brief notes on those two things.

1) The worth of a player is their future impact on the system.

In other words, it’s their predicted future LTV (Lifetime Value). Looking at what they have done up until now is the next-best option, but it gives you no insight into how how their behavior will continue. For future LTV, we use a combination of their value plus their impact on others (Social Value) because we think it

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Topics: Churn Analysis, Game Analytics, Video Game Analytics, Churn Prevention

Do Analytics Help or Hurt the Creative Process of Game Development?

Posted by Dmitri Williams

Nov 20, 2013 7:11:00 AM

For starters, analytics are rarely used in pre-launch development, unless it’s the rare case where intelligence gathered from one title informs the next. They are more typically seen post-launch. When they are used in a live service with creative iteration taking place, they can be very helpful so long as the dev team follows best practices.

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Topics: Game Analytics, Video Games, Video Game Analytics, Game Development

Video Game Analytics 101, Part 3: The Slightly-More-Advanced Bits

Posted by Dmitri Williams

Oct 9, 2013 6:59:00 AM

Now that you have the basics from the last post, you’re ready for the next level where we get away from the aggregate metrics and into areas where you can take actions, test, and see results.

Here we introduce the following concepts:

  • Individual-level metrics
  • Getting past averages
  • Segmentation
  • Predictive analytics
  • LTV and Social Value
  • Individual-level metrics

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Topics: Game Analytics, Video Game Analytics, Game Metric Definitions

Video Game Analytics 101: Basic Definitions

Posted by Dmitri Williams

Oct 4, 2013 7:02:00 AM

Here are the basic metrics any basic dashboard should have, along with definitions. These are the kinds of metrics that you would hand to your CEO or board to give a high-level view of how things are going. They’re simple, and best seen in the context of time, so the smartest use is to see their period-over-period change in a table or on a graph. More complex metrics are for developers, marketing and community managers who will need to dig deeper into changes. All metrics should be chosen based on the questions your business really needs answers to - see our Practical Metrics blog post on the subject.

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Topics: Game Analytics, Video Game Analytics, Setting Up Game Analytics, Game Metric Definitions

Video Game Analytics 101: Getting Started

Posted by Dmitri Williams

Oct 2, 2013 7:01:00 AM

Before you get started, I recommend you read the post on Practical Metrics. Once you have a sense of what your questions are and who will take action on the answers, you’re ready to consider onboarding a package. Here are four steps to get set up and to make an informed decision:


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Topics: Video Game Analytics, Setting Up Game Analytics

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