Market Explorer is GameRefinery’s go to place to start off any market research, to create, research and compare game segments. This overview will walk you through the main components of Market Explorer.
Check out this tutorial video or the overview below:
Create segments in Market Explorer based on markets, genres, games with a certain feature(s) or simply by choosing a number of games. GameRefinery's feature framework consists of over 200 features that you can use to narrow the scope of your inquiry.
Create a segment by either editing the prepopulated segment or by creating a new one.
Define the segment by choosing a market and narrow it down by either selecting games you are interested in or use genres and features as filters. After creating a segment, you'll find data relating to said games, genres and or features.
However, the sheer number of features may feel overwhelming, so here are a few pointers on how to approach segment creation.
Select features to create segments of games that have the feature
Below are a few use cases for different kinds of segments in Market Explorer:
Research genres and subgenres
- Compare United States against China overall
- Compare how Match-3 games perform in the United States vs. China
Compare game types by using Core and/or Defining mechanic features
- By using Core-features, e.g. Compare Match-3 games against Strategy games
- By using Defining Mechanic-features, e.g. Compare 4X Strategy games against Action RPGs.
Compare games with / without certain features
- Compare games with / without Guild mechanics
- Compare Fighting/Competing games with/without Player vs. Player mode
Pro tip: Start from a high level and dig deeper into more specific segments
The overview tab provides you with a visualization of the segment as well as average and median statistics related to the games in the segment. You can also change the data shown in the chart.
Comparing how match-3 games with different meta games perform in the US market.
Hover on games to view game related data.
There are eight distinct KPIs that are tracked for games. Note that Monthly Performance data is only available for the US market.
You can change the chart axis and scales to alter the data shown in the chart
Data in Market Explorer is split into three distinct categories: Feature Indicators, Sustained Ranks and Monthly Performance. See explanations below:
POWERSCORE® - Indicates how well game's feature set corresponds to current market trends.
Skill | Thinking - Whether game's emphasis is leaning towards speed, aiming and/or steering or towards tactical & strategic thinking and/or logical puzzle solving.
Grossing Rank - Average Top Grossing rank for the past 30 days.
Download Rank - Average Free (download) rank for the past 30 days.
Revenue - Estimated revenue for the past 30 days.
Downloads - Estimated number of downloads for the past 30 days.
Revenue / Download - Estimated revenue per download for the past 30 days.
The overview shows Average and Median statistics for games displayed on the chart
You can view the list of games belonging to each segment by clicking on the circled number under the indicator color.
This opens up a new modal where you can sort the games by any of the KPIs.
You can also view advanced statistics for any of the settings by clicking on the segment breakdown-button under the segment KPIs
The segment breakdown view helps you further dissect the segment by Core game type, Meta game type, or App Store genre. Moreover, you can sort the list by any KPI and see how the sub-segments compare to one another.
Games tab provides you a list of all games matching the segment. The game list can be sorted by any of the KPIs. Enterprise plan also has an option to export the data as a CSV-file.
The features tab breaks down feature data related to your segment. Feature effect and popularity are calculated to match the games in the segment.
Filter the list to show features from only certain feature categories or tags, and sort these by either effect or popularity. You can also find differentiating features for your chosen segment(s), conveniently indicated by a star beside the feature. Enterprise customers can also export the data as a CSV-file.
Check out this feature breakdown for Match 3 games in the United States