GameAnalytics H1 Update: New Product Improvements!

Since the launch of GameAnalytics V3, we have appreciated everyone engaging with us to provide feedback and discuss ideas. With this solid foundation in place, we are now able to build faster and deliver more depth and speed in our features. While there is still work to be done, we remain committed to enhancing existing features and introducing new functionality in the upcoming months.

In this post, we will highlight some of the key releases since the update and give you a glimpse of what’s on the horizon. Let’s dive in!

Recent improvements

Since the launch back in Feb, we made many updates, from small bug fixes to much larger enhancements of core functionality. Some of the biggest quality of life changes include:

  • A new Overview page for your games
  • Filtering improvements for Dashboards, Funnels and Real-time Feed
  • Improved event selection
  • DAU displayed in game selection
  • ‘Sum of daily playtime’ added to Cohorts
  • Metrics and filtering additions (New vs. Returning, Win Percentage, Conversion rate)

Game Overview page

The new Game Overview page is a dedicated and user-friendly hub for each game in your portfolio, and it is now the default landing page when navigating between games. This space provides quick access to key metrics to monitor your game performance, as well as important SDK integration information to ensure you’re getting the most out of the tool. The Game Overview page also streamlines access to game settings and controls, making it a breeze to manage your setup. ​​

Refined data sorting options

Another significant improvement we’ve made is the introduction of more effective data ordering for your Explore tool queries. Ordering is now processed on the backend and we added a new option (by number) to order on numerical values within a string. For instance, “level1, level2, level3, level10″ is now displayed in the correct order.

This sorting improvement is particularly valuable when selecting “Top X” with dimensions that contain thousands of values. By ensuring correct ordering and returning those values in logical sort, we now provide more easily readable results for you.

Filtering improvements for Funnels and Real-time Feed

We have introduced significant improvements for filtering Funnels and the Real-time feed, giving you greater control and flexibility in analysing and monitoring your game data. In particular, we have incorporated filters into saved funnels, ensuring that they’re retained when accessing the saved funnel at a later time. The Real-time Feed now offers the ability to filter events not only by ‘user_id’ but also by build and event type. This enhancement proves particularly valuable when testing new builds, so you can ensure that events are accurately captured and displayed.

Additional filter options

We have also expanded the filter options available to you. Our global filters now support:

  • New or returning user
  • First build
  • Days since install
  • Engine version
  • SDK version

The ‘First build’ filter is especially useful as it represents the initial build observed for a user and remains constant. Combining this filter with the ‘Build’ filter allows you to observe data only from users who have experienced a specific build without subsequent updates (meaning they never updated). This can be achieved by setting ‘First build’ and ‘Build’ to the same build value in your filters.

Improved event selection

We have made it easier to select event values (e.g. levels or items) in the tool with multiple UI improvements, giving you greater control and flexibility to find the values you need. The tool now allows for multi-value event selection by using Shift+Click, enabling you to select multiple values at once, such as a range of level from level1 to level50. You also now have the option to “load more” to retrieve up to 5,000 event values, compared to the previous limit of 1,000. Additionally, the new UI makes it easier to manage selections by providing the option to show only selected values, simplifying the process of deselecting individual values or clearing the selection altogether.

We also introduced a toggle to control event hierarchy filtering. Read more about what this is here. Enabling this option will display only values that would be possible considering all currently added filters in other hierarchy dimensions. For example, let’s consider the Business Event (IAP) having the dimensions ItemType and ItemId. If you select an ItemType= “Weapon” and then continue to list values for ItemId, you’ll now only see ItemId’s listed that were sent on events having ItemType=”Weapon”.

Additional options will be introduced in the future to control sorting, search behaviour and the period that possible dimensions values are discovered. Stay tuned!

DAU displayed in game selection

We’ve introduced an improved navigation feature that allows you to sort games based on DAU. This enhancement makes it easy to get to the largest and smallest games in your portfolio, in addition to the other sorting options already available.

“Sum of daily playtime” added to Cohorts

We’ve enhanced our Cohorts feature with the inclusion of “sum of daily playtime”. This addition allows you to track and analyse the total time cohorts of players are spending in your game. This is essential for identifying the most valuable cohorts in terms of playtime, which is especially beneficial for ad-driven studios seeking to understand potential ad exposure. With this new metric, you can observe how playtime evolves over time since the days from install. It provides insightful data into player engagement and helps you optimise your monetization strategies.

Bringing parity to V3

With our recent updates, we’ve made several additions that bring it on par with our older version. First, we’ve introduced new metrics to enhance your data analysis:

  • New vs. Returning, which allows you to distinguish between new and returning players, providing insights into your user acquisition and retention efforts
  • Win Percentage, helping you measure the success rate of players in winning games or completing levels
  • Conversion Rate, providing the percentage of users who make an in-app purchase to help you understand your game’s monetization

We’ve also added widget zoom in dashboards and implemented the ability to apply filters to Dashboards in V3, giving you greater control over the displayed data. This functionality allows you to refine and customise the data according to your specific requirements, enabling more precise analysis.

Coming improvements

We have an exciting lineup of improvements on the horizon that will enhance your experience within the tool and provide deeper insights into your game’s data. We aim to create a smoother and uninterrupted analytics experience with several UI enhancements, like a revised Explore Tool, making query definition and metric shortcut selections more intuitive. Very soon, you’ll also see more advanced functionality related to Scheduled Reporting, Errors, Retention, and your Organization overview. We’ll share more details about these changes in a coming update.

Improved data insights are also planned with the addition of the DAU/MAU metric, which help gauge stickiness in your game. A high DAU/MAU ratio indicates strong use engagement, where a significant portion of monthly users are actively playing on a daily basis. This usually means that your retention levels are healthy! ARPDAU (Average Revenue per Daily Active User), which helps you understand the average revenue generated per user each day, will also be released shortly.

Additional filters and filter persistence will be introduced (to ensure selected filters remain in place during navigation). We will include support for filtering on AB Testing, Remote Configs, install cohorts and acquisition sources, allowing for more precise and granular data analysis. And finally, the introduction of a date comparison feature will enable you to compare selected date ranges with previous periods, facilitating trend analysis, pattern identification and the impact of changes over time.

We will be introducing updated demo data for all event types as well, providing you with example data that showcases the insights available in the tool. This feature can serve as inspiration for you to consider adding additional event types to your own tracking, further enhancing your data analysis and decision-making capabilities.

Stay tuned!

There’s a lot more to come over the following months, and we’re confident that the GameAnalytics experience will improve exponentially. We’ll keep you posted about every new update that helps your quality of life.

If you have any thoughts or suggestions for further improvements, don’t hesitate to share your valuable insights with us on the GameAnalytics feedback portal.

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