• Gaming
  • 15 columns
  • 200 rows
  • 8 formats

Gaming User Session Metrics

This dataset provides detailed, session-level metrics for gaming users, including engagement actions, achievements, session duration, purchases, and retention indicators. It enables analytics teams to track player behavior, measure engagement and monetization, and conduct retention studies across games and platforms. Ideal for optimizing game design, marketing strategies, and user lifecycle management.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Player engagement and retention analysis

Sample rows

preview · 8 of 200 rows · all 15 columns
session_idstringplatformstringtotal_actionsintegerretention_flagbooleangame_idstringuser_idstringsession_start_timedatetimesession_end_timedatetimesession_duration_minutesfloatlevels_completedintegerachievements_unlockedintegersession_scorefloatin_game_purchasesfloatregionstringdevice_typestring
S001PC2100trueG21U10342024-06-01T14:32:17Z2024-06-01T16:42:17Z1301358500.70NADesktop
S002Mobile45falseG16U11252024-06-01T09:08:05Z2024-06-01T09:33:05Z2510410.30APACSmartphone
S003PC1800trueG21U10342024-06-02T19:11:43Z2024-06-02T21:11:43Z120929000.10NADesktop
S004PlayStation2505trueG07U18492024-06-03T18:51:19Z2024-06-03T21:31:19Z16012712500.50EUConsole
S005Mobile0falseG03U19422024-06-01T17:15:22Z2024-06-01T17:16:22Z10000LATAMSmartphone
S006Xbox3200trueG18U13872024-06-03T03:01:08Z2024-06-03T06:01:08Z18020818320.80APACConsole
S007Mobile12falseG14U12202024-06-01T20:24:50Z2024-06-01T20:34:50Z100087.90EUTablet
S008Mobile1falseG14U12202024-06-03T07:45:20Z2024-06-03T07:46:20Z10000EUSmartphone

What the 200 rows show

from the 200-row sample

Mobile platform stands out: mean total_actions is 18.1, against 2,032 for the rest.

  • 61%retention_flag = true
  • 989median total_actions
  • 5regions
  • 6device types
  • 49users
  • 90median session_duration_minutes
Mean total_actions by platform200 rows
04,0008,0001,556PC67 rows1,779Xbox21 rows1,406PlayS…15 rows18.1Mobile66 rows1,879Switch21 rows7,014Other10 rows
total_actions200 rows, in bands of 1,000
055110102521813512704,0008,000total_actions →

Median 989, from 0 to 7,999.

game_id200 rows · top 10 of 32 values
  1. G1521
  2. G1815
  3. G3113
  4. G1912
  5. G2212
  6. G2510
  7. G3010
  8. G108
  9. G128
  10. G147
15 columns by typefrom the column list below
  • string 6
  • integer 3
  • float 3
  • datetime 2
  • boolean 1

Columns

15 columns in four groups
blueprint · 15 columns
columntypedescriptionexample
Text 6 columns
session_idstringUnique identifier for each gaming session.uniqueS001
user_idstringUnique identifier for the user/player.U1034
game_idstringUnique identifier for the game played during the session.G21
platformstringPlatform on which the game was played (e.g., PC, Xbox, PlayStation, Mobile).6 valuesPC
regionstringGeographical region of the user (e.g., NA, EU, APAC, LATAM).NA · EU · APAC · LATAM · Other · optionalNA
device_typestringType of device used for the session (e.g., Desktop, Laptop, Smartphone, Tablet, Console).6 values · optionalDesktop
Numbers 6 columns
session_duration_minutesfloatTotal duration of the session in minutes.0 or more130
total_actionsintegerTotal number of in-game actions performed during the session.0 or more2100
levels_completedintegerNumber of game levels completed during the session.0 or more · optional13
achievements_unlockedintegerNumber of achievements unlocked during the session.0 or more · optional5
session_scorefloatScore earned by the user during the session.0 or more · optional8500.7
in_game_purchasesfloatTotal amount spent on in-game purchases during the session (in USD).0 or more · optional0
Dates and times 2 columns
session_start_timedatetimeTimestamp when the session started.2024-06-01T14:32:17Z
session_end_timedatetimeTimestamp when the session ended.2024-06-01T16:42:17Z
True or false 1 column
retention_flagbooleanIndicates if the user returned for another session within 7 days (true/false).optionaltrue

Use it for

  • retention flag61%122 of 200 rowsmean total actions by…1.6kPC1.8kXbox1.4kPlay…18.1Mobi…

    A gaming dashboard

    The retention_flag rate, total_actions by platform and a breakdown of game_id. Excel, Power BI or Tableau.

  • Why do the 66 Mobile rows have a mean total_actions of 18.1?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable sessions with user_id, game_id and platform to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 15 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows15 columns
Yours1,000 rows15 columnsregion: UK only

blueprint · gaming-user-session-metrics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Track session start/end times
  • Include in-game actions per session
  • Segment by game title
  • Flag session drop-offs
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-user-session-metrics

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