• Gaming
  • 13 columns
  • 200 rows
  • 8 formats

Gaming Session Retention Trends

This dataset provides detailed, time-series retention metrics for gaming sessions across multiple platforms, regions, and game studios. It enables studios to analyze user engagement, session durations, and in-game purchases, supporting data-driven strategies to improve player retention and maximize lifetime value. The schema is designed for flexible segmentation and trend analysis.

  • opened 14 times
  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Analyzing player retention trends over time for different games and platforms

Sample rows

preview · 8 of 200 rows · all 13 columns
session_idstringsession_typestringretention_dayintegerregionstringgame_idstringstudio_idstringuser_idstringsession_start_datetimedatetimesession_end_datetimedatetimesession_duration_minutesfloatretention_ratefloatplatformstringin_game_purchasesfloat
A9x_3kT2Solo1NAgame_001studio_QAuser_10012024-05-03T13:24:10Z2024-05-03T14:07:34Z43.487.5Mobile0
bH4_zQ8wMultiplayer7EUgame_002studio_TTuser_10022024-05-03T16:54:36Z2024-05-03T17:37:36Z4334.2Console0
kT8_MnN9Co-op14APACgame_003studio_AWuser_10032024-05-04T07:39:12Z2024-05-04T08:31:27Z52.343.1PC4.99
Lw3_8kT4Solo1NAgame_004studio_LXuser_10042024-05-05T20:10:55Z2024-05-05T20:38:12Z27.391Mobile0
yQ2_5vRtMultiplayer30EUgame_005studio_GPuser_10052024-05-06T11:02:00Z2024-05-06T13:02:00Z12027.3PC12.5
vT3_AqW8Solo0SAgame_006studio_XYuser_10062024-05-06T23:51:10Z2024-05-07T00:03:10Z12100Console0
T7w_bZ9jCo-op14NAgame_001studio_QAuser_10072024-05-08T15:29:48Z2024-05-08T17:29:48Z12046.9Mobile0.99
P8v_DhA3Solo1EUgame_002studio_TTuser_10082024-05-09T12:00:16Z2024-05-09T12:40:16Z4082.3Mobile0

What the 200 rows show

from the 200-row sample

Co-op (session type) stands out: mean retention_day is 29.1, against 6.9 for the rest.

  • 7median retention_day
  • 4platforms
  • 6studios
  • 9games
  • 61.5median session_duration_minutes
  • 42.7median retention_rate
Mean retention_day by session_type200 rows
020401.6Solo96 rows16.4Multiplayer53 rows29.1Co-op51 rows
retention_day200 rows, in bands of 10
0701401322802002003060retention_day →

Median 7, from 0 to 60.

region180 rows with a value · 20 left blank
  1. EU63
  2. NA55
  3. APAC19
  4. OC19
  5. AF15
  6. SA7
  7. AS2
13 columns by typefrom the column list below
  • string 7
  • integer 1
  • float 3
  • datetime 2

Columns

13 columns in three groups
blueprint · 13 columns
columntypedescriptionexample
Text 7 columns
session_idstringUnique identifier for each gaming session.uniqueA9x_3kT2
game_idstringUnique identifier for the game in which the session occurred.9 gamesgame_001
studio_idstringUnique identifier for the game studio.6 studiosstudio_QA
user_idstringUnique identifier for the user/player.user_1001
platformstringPlatform on which the session was played (e.g., PC, mobile, console).PC · Mobile · Console · WebMobile
regionstringGeographical region of the user (e.g., NA, EU, APAC).7 regions · optionalNA
session_typestringType of session (e.g., solo, multiplayer, co-op).Solo · Multiplayer · Co-op · optionalSolo
Numbers 4 columns
session_duration_minutesfloatTotal duration of the session in minutes.0 or more43.4
retention_dayintegerDay number after the initial session used to measure retention (e.g., 1 for Day 1, 7 for Day 7).0 or more1
retention_ratefloatPercentage of users retained on the specified retention day (0-100).0 to 10087.5
in_game_purchasesfloatTotal value of in-game purchases made during the session (in USD).0 or more · optional0
Dates and times 2 columns
session_start_datetimedatetimeTimestamp when the gaming session started.2024-05-03T13:24:10Z
session_end_datetimedatetimeTimestamp when the gaming session ended.2024-05-03T14:07:34Z

Use it for

  • median retenti…7200 rowsmean retention day by…1.6Solo16.4Multip…29.1Co-op

    A gaming dashboard

    Retention_day by session_type and a breakdown of region. Excel, Power BI or Tableau.

  • Why do the 51 Co-op rows have a mean retention_day of 29.1?

    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 game_id, studio_id and user_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 13 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

10,000 rows of yours: $12.99One-time. No subscription. All prices

This dataset200 rows13 columns
Yours10,000 rows13 columnsregion: UK only

blueprint · gaming-session-retention-trends

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 13 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
  • Include game title, session date, retention rate
  • Capture user segment (new/returning)
  • Include platform type
  • Aggregate by weekly cohort
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-session-retention-trends

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