• Gaming
  • 18 columns
  • 200 rows
  • 8 formats

Gaming In-Game Purchase Records

This dataset provides detailed records of in-game purchases across multiple games, platforms, and regions, including player identifiers, item details, transaction amounts, payment methods, and promotional usage. It enables game studios and publishers to analyze monetization strategies, player spending behavior, and the effectiveness of promotions for optimizing revenue and engagement.

  • opened 11 times
  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Monetization strategy optimization for game studios and publishers

Sample rows

preview · 8 of 200 rows · all 18 columns
purchase_idstringpayment_methodstringprice_usdfloatis_first_purchasebooleanregionstringplayer_idstringgame_idstringstudio_idstringpurchase_datetimedatetimeitem_idstringitem_namestringitem_typestringquantityintegercurrency_codestringplatformstringplayer_levelintegerpromotion_appliedbooleanpromotion_codestring
A1B2C3D4-001app_store4.99trueUSplayer_001game_101studio_A2024-06-17T14:23:45Zitm_001Diamond Packcurrency3USDiOS2trueJUNEDEAL1
E5F6G7H8-002credit_card9.99falseUSplayer_002game_102studio_B2024-06-17T16:18:21Zitm_002Spring Warrior Skinskin1USDPC38falseblank
JKL9MNOP-003debit_card2.99trueUSplayer_003game_103studio_C2024-06-17T17:55:12Zitm_003Mega Power-Uppower-up2USDAndroid7trueBOOSTJUNE
QRS1TUV2-004paypal14.99falseCAplayer_004game_104studio_D2024-06-17T19:33:01Zitm_004Holiday Event Bundleconsumable1USDWeb12falseblank
WXY3ZAB4-005credit_card24.99falseUSplayer_005game_105studio_E2024-06-17T21:40:37Zitm_005Premium Battle Passbattle pass1USDConsole57trueBPJUNE24
CDE5F6GH-006app_store0.99trueUSplayer_006game_106studio_F2024-05-22T10:11:00Zitm_006Starter Charactercharacter1USDiOS3falseblank
IJK7LMNO-007credit_card49.99falseUSplayer_007game_107studio_G2024-06-15T16:03:45Zitm_007Legendary Swordother1USDPC82falseblank
PQRS8TUV-008paypal5.99falseCAplayer_008game_108studio_H2024-06-16T12:22:55Zitm_008Energy Drinkconsumable6USDAndroid19falseblank

What the 200 rows show

from the 200-row sample

App_store (payment method) stands out: 50 of its 51 rows have is_first_purchase = true, against 34 of 136 for the rest.

  • 45%is_first_purchase = true
  • 3.5median price_usd
  • 5platforms
  • 7item types
  • 8currency codes
  • 36studios
Is first purchase rate by payment_methodis_first_purchase = true
0%50%100%14%credi…8 of 5843%debit…9 of 2122%paypal8 of 3798%app_s…50 of …60%gift_…3 of 540%virtu…6 of 15
price_usd200 rows, in bands of 50
0901801801324010150300price_usd →

Median 3.5, from 0.0 to 300.0.

region189 rows with a value · 11 left blank
  1. US76
  2. JP31
  3. FR14
  4. DE13
  5. GB10
  6. CA9
  7. ES9
  8. IN9
  9. IT8
  10. BR4
18 columns by typefrom the column list below
  • string 12
  • integer 2
  • float 1
  • datetime 1
  • boolean 2

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 12 columns
purchase_idstringUnique identifier for each in-game purchase eventuniqueA1B2C3D4-001
player_idstringUnique identifier for the player making the purchaseplayer_001
game_idstringUnique identifier for the game in which the purchase was madegame_101
studio_idstringUnique identifier for the game studio or publisherstudio_A
item_idstringUnique identifier for the purchased in-game item or bundleitm_001
item_namestringName of the purchased in-game item or bundleDiamond Pack
item_typestringType/category of the purchased item (e.g., skin, currency, power-up, battle pass)7 valuescurrency
currency_codestringISO 4217 currency code used for the transaction (e.g., USD, EUR, JPY)8 codesUSD
payment_methodstringPayment method used for the purchase (e.g., credit_card, paypal, app_store, gift_card, virtual_currency)7 valuesapp_store
platformstringPlatform on which the purchase was made (e.g., iOS, Android, PC, Console)6 valuesiOS
regionstringGeographical region or country code of the player at time of purchaseoptionalUS
promotion_codestringPromotion or discount code used, if applicableoptionalJUNEDEAL1
Numbers 3 columns
quantityintegerNumber of units/items purchased in this transaction1 or more3
price_usdfloatTotal price paid for this purchase in US dollars0 or more4.99
player_levelintegerPlayer's level at the time of purchase1 or more · optional2
Dates and times 1 column
purchase_datetimedatetimeTimestamp of when the purchase occurred (UTC)2024-06-17T14:23:45Z
True or false 2 columns
is_first_purchasebooleanIndicates if this is the player's first purchase in the gameoptionaltrue
promotion_appliedbooleanIndicates if a promotion or discount was applied to this purchaseoptionaltrue

Use it for

  • is first purch…45%84 of 187 rowsmean price usd by pay…48.1cred…11.1debi…29.7payp…2.4app_…

    A gaming dashboard

    The is_first_purchase rate, price_usd by payment_method and a breakdown of region. Excel, Power BI or Tableau.

  • Why do 84 of 187 rows have is_first_purchase = true?

    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 purchases with player_id, game_id and studio_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 18 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows18 columns
Yours10,000 rows18 columnsregion: UK only

blueprint · gaming-in-game-purchase-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 18 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 user ID and purchase amount
  • Segment by item type
  • Flag high-value purchases
  • Track purchase frequency per user
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-in-game-purchase-records

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