• Gaming
  • 17 columns
  • 200 rows
  • 8 formats

Gaming Player Retention Cohorts

This dataset provides detailed player retention cohort metrics for gaming studios, including time-based retention rates, average lifetime value, and segmentation by platform and region. It enables robust analysis of player engagement, monetization, and cohort performance, supporting data-driven decisions for game development and marketing strategies.

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

Analyze player retention and churn across different cohorts and games

Sample rows

preview · 8 of 200 rows · all 17 columns
cohort_idstringcohort_typestringretention_day_3floatcurrencystringgame_idstringcohort_start_datedatecohort_end_datedateplayer_countintegerretention_day_1floatretention_day_7floatretention_day_14floatretention_day_30floataverage_lifetime_valuefloatregionstringplatformstringcreated_atdatetimeupdated_atdatetime
game01_first_session_2023-01-15first_session21.2USDgame012023-01-152023-02-1595044.511.73.31.15.6NAAndroid2023-01-15T10:05:12Z2023-02-15T17:22:45Z
game02_registration_date_2022-11-01registration_date17.8USDgame022022-11-012022-12-01185034.18.23.70.92.4NAiOS2022-11-01T09:12:30Z2022-12-02T14:18:51Z
game03_first_purchase_2022-06-17first_purchase74.9EURgame032022-06-172022-07-171989.363.242.721.11150.8EUPC2022-06-17T13:08:46Z2022-07-18T09:21:00Z
game04_first_session_2023-03-02first_session23.5USDgame042023-03-022023-04-01212037.413.14.824.2NAWeb2023-03-02T11:17:39Z2023-04-01T17:39:10Z
game05_registration_date_2023-07-10registration_date14.2USDgame052023-07-102023-07-2565729.66.72.10.41.3NAAndroid2023-07-10T08:02:56Z2023-07-25T16:12:17Z
game06_first_purchase_2022-08-29first_purchase61USDgame062022-08-292022-09-293377.243.921.56.31869.4NAConsole2022-08-29T14:16:25Z2022-09-29T20:41:00Z
game07_first_session_2023-12-05first_session32.6USDgame072023-12-05blank172354.8177.1blank7.8NAAndroid2023-12-05T09:09:09Zblank
game08_first_purchase_2023-04-12first_purchase81.6JPYgame082023-04-122023-05-12893.26752.118.32052.7APACPC2023-04-12T13:48:18Z2023-05-12T10:02:15Z

What the 200 rows show

from the 200-row sample

First_purchase (cohort type) stands out: mean retention_day_3 is 72.4, against 11.0 for the rest.

  • 13.6median retention_day_3
  • 5platforms
  • 6regions
  • 50games
  • 226median player_count
  • 27.4median retention_day_1
Mean retention_day_3 by cohort_type200 rows
040807.9registration…66 rows72.4first_purcha…63 rows13.9first_session71 rows
retention_day_3200 rows, in bands of 10
0408071521044721101011050100retention_day_3 →

Median 13.6, from 0.0 to 100.0.

currency200 rows · 7 values
  1. USD133
  2. EUR25
  3. JPY18
  4. BRL8
  5. CNY6
  6. CAD5
  7. GBP5
17 columns by typefrom the column list below
  • string 6
  • integer 1
  • float 6
  • date 2
  • datetime 2

Columns

17 columns in three groups
blueprint · 17 columns
columntypedescriptionexample
Text 6 columns
cohort_idstringUnique identifier for the player cohort, typically based on the cohort start date and game_id.uniquegame01_first_session_2023…
game_idstringUnique identifier for the game or title.game01
cohort_typestringType of cohort grouping (e.g., by registration date, first purchase, first session).registration_date · first_purchase · first_sessionfirst_session
currencystringCurrency code for lifetime value (e.g., USD, EUR, JPY).7 currencies · optionalUSD
regionstringGeographic region or market segment for the cohort (e.g., NA, EU, APAC).6 regions · optionalNA
platformstringPlatform on which the game is played (e.g., iOS, Android, PC, Console).iOS · Android · PC · Console · Web · optionalAndroid
Numbers 7 columns
player_countintegerNumber of unique players in the cohort.0 or more950
retention_day_1floatPercentage of cohort players retained on day 1 after cohort start.0 to 10044.5
retention_day_3floatPercentage of cohort players retained on day 3 after cohort start.0 to 100 · optional21.2
retention_day_7floatPercentage of cohort players retained on day 7 after cohort start.0 to 100 · optional11.7
retention_day_14floatPercentage of cohort players retained on day 14 after cohort start.0 to 100 · optional3.3
retention_day_30floatPercentage of cohort players retained on day 30 after cohort start.0 to 100 · optional1.1
average_lifetime_valuefloatAverage lifetime value (LTV) per player in the cohort, in the game's currency.0 or more · optional5.6
Dates and times 4 columns
cohort_start_datedateDate when the cohort period begins (e.g., player first session date).2023-01-15
cohort_end_datedateDate when the cohort period ends (e.g., end of grouping window).optional2023-02-15
created_atdatetimeTimestamp when the cohort record was created.2023-01-15T10:05:12Z
updated_atdatetimeTimestamp when the cohort record was last updated.optional2023-02-15T17:22:45Z

Use it for

  • median retenti…13.6200 rowsmean retention day 3 …7.9regist…72.4first_…13.9first_…

    A gaming dashboard

    Retention_day_3 by cohort_type and a breakdown of currency. Excel, Power BI or Tableau.

  • Why do the 63 first_purchase rows have a mean retention_day_3 of 72.4?

    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 cohorts with game_id, cohort_start_date and cohort_end_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 17 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

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This dataset200 rows17 columns
Yours1,000 rows17 columnsregion: UK only

blueprint · gaming-player-retention-cohorts

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 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
  • Segment players by sign-up month
  • Track retention at 7/30/90 days
  • Include in-game achievement metrics
  • Flag churn events
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-player-retention-cohorts

What should your data show?

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