Data glossary
Metrics
| Name | Description |
|---|---|
| Retention | Percentage of users that played the game before, and have returned to the game. Retention is calculated on a calendar day basis, and a day in our terms starts and ends from 00:00 - 23:59 UTC. If a player installs at 23:35 and keeps playing until after 00:00 (UTC), they will be counted as retained for D1. We use classic retention not rolling, which means that if a user installs on day D and plays again 7 days later, they will only be counted as retained for D7 and not in the days in between. The retention metric allows you to view retention for D1 through D7, D14, D21, D28, D60, D90. |
| Playtime | Average time spent in the game, per user, in the selected time period. |
| Session length | Average session length per user, in the selected time period. |
| Session count | Average number of sessions per user, in the selected time period. |
| New users | Average number of new users in the selected period. |
| Install ratio | Install ratio is the percentage of daily active users who launched the game for the first time. |
| ARPPU | Average revenue per paying user, in the selected period. |
| ARPDAU | Average revenue per daily active users. |
| Conversion | Percentage of users that have completed a purchase in the selected period, out of all the users. |
| CPC (Cost per click | Average cost per click of an ad or link. |
| CPI (Cost per install) | Average cost per download of game or application. |
| CPM (Cost per Mille) | Average cost developers are charged per 1000 ad impressions. |
| CTR (Click-Through Rate) | Number of users who click on your ad as a percentage of the total impressions. |
| Fraud share | Fraud share is the number of faked impressions, click spam, or faked installs as a percentage of the total. |
Filters
| Name | Description |
|---|---|
| Country | Segment the data and choose from a list of 36 countries. Based on your selection, you will only see information of how that game/app is performing in the chosen country. |
| Quantiles | A quantile is a number that represents the significance of data. The term comes from statistics and means "a fraction" because it divides samples into equal parts or groups, called subgraphs. It can also refer to dividing probability distribution into areas with same likelihoods for events happening on either side (probabilities). GameAnalytics supports 9 quantiles:
Keep in mind the data present here is coming from statistical models, and that the numbers you see on each of the quantiles are merely the highest recorded value. |
| Platform | The platforms you would like to view the data from. At the moment only Apple App Store data is available. |
| Region | Filter data by geographical regions. |
| IAP Spenders | Average percentage of users that complete an IAP transaction, from the total number of users. |
Game categorization
Benchmarks allows you to filter what type of games you are browsing for with highly specific sub-genres. You can either choose from default App store categorizations, or from the custom list of genres and subgenres we have provided.
Here is a full breakdown of the game categories you can explore:
- App store - reflects the real store genres/categories utilized by Apple.
- Subgenres - which are categories that we have constructed ourselves, and offer a more in depth segmentation of the game genres.
Network stats
The data that is available in Benchmarks comes from the GameAnalytics service, and it is passed through a statistical model to display an aggregated representation of the numbers.
The GameAnalytics network is extensive, with an all time integrated game count of 140,000, more than 1 billion average unique monthly users, and 1.5 billion cross-title monthly players, with an average monthly session number of 25+ billion sessions.