E-Commerce Session Conversion Data

This dataset provides granular session-level logs for e-commerce platforms, detailing user interactions, cart activity, conversion outcomes, and behavioral events. It enables retailers and analysts to identify conversion drivers, measure abandonment, and optimize the online shopping experience through actionable insights and predictive modeling.

  • opened 5 times
  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Analyzing conversion drivers and reducing cart abandonment

Sample rows

preview · 8 of 200 rows · all 24 columns
session_idstringosstringsession_valuefloatabandoned_cartbooleanpayment_methodstringuser_idstringsession_start_timedatetimesession_end_timedatetimesession_duration_secondsintegerdevice_typestringbrowserstringcountrystringcitystringentry_page_urlstringtotal_pageviewsintegerproduct_viewsintegercart_additionsintegercart_removalsintegercheckout_initiatedbooleanconversionbooleancoupon_usedbooleanreferrer_urlstringexit_page_urlstringinteraction_eventsstring
sess_00001Windows1422.5falsecredit_carduser_392412024-06-03T09:12:21Z2024-06-03T10:04:12Z3101desktopChromeUSSan Franciscohttps://shop.example.com/home191271truetruetruehttps://www.google.com/search?q=mens+shoeshttps://shop.example.com/checkout/success{"events":[{"ts":"2024-06-03T09:13:02Z","type":"click"},{"ts":"2024-06-03T09:20:12Z","type":"add_to_cart"},{"ts":"2024-06-03T09:40:15Z","type":"checkout"},{"ts":"2024-06-03T09:54:39Z","type":"click"}]}
sess_00002Android0falseblankanonymous2024-06-02T21:15:30Z2024-06-02T21:16:01Z31mobileSamsung InternetKRSeoulhttps://shop.example.com/home1000falsefalseblankblankblank{"events":[{"ts":"2024-06-02T21:15:35Z","type":"scroll"}]}
sess_00003iPadOS0falseblankuser_176202024-06-04T16:42:10Z2024-06-04T16:54:25Z735tabletFirefoxGBLondonhttps://shop.example.com/deals5300falsefalseblankhttps://affiliate.example.com/lphttps://shop.example.com/products/3482{"events":[{"ts":"2024-06-04T16:44:08Z","type":"click"},{"ts":"2024-06-04T16:53:21Z","type":"scroll"}]}
sess_00004Linux3180.8falsepaypaluser_582172024-06-03T12:31:10Z2024-06-03T17:21:15Z17645desktopOperaINMumbaihttps://shop.example.com/home2714113truetruetruehttps://newsletter.example.com/junehttps://shop.example.com/checkout/success{"events":[{"ts":"2024-06-03T13:12:44Z","type":"add_to_cart"},{"ts":"2024-06-03T13:50:31Z","type":"click"},{"ts":"2024-06-03T15:10:14Z","type":"checkout"}]}
sess_00005iPadOS0trueblankuser_812402024-06-04T09:10:02Z2024-06-04T09:32:14Z1332tabletSafariAEDubaihttps://shop.example.com/sale8521truefalsefalsehttps://www.facebook.com/promohttps://shop.example.com/products/9814{"events":[{"ts":"2024-06-04T09:15:36Z","type":"add_to_cart"},{"ts":"2024-06-04T09:20:28Z","type":"remove_from_cart"},{"ts":"2024-06-04T09:30:12Z","type":"checkout"}]}
sess_00006Android0falseblankuser_610342024-06-05T13:01:03Z2024-06-05T13:01:20Z17mobileOpera MiniNGLagoshttps://shop.example.com/home1000falsefalseblankblankblankblank
sess_00007Unknown0falseblankanonymous2024-06-03T18:11:13Z2024-06-03T18:12:18Z65mobileUnknownBRSão Paulohttps://shop.example.com/home1000falsefalseblankblankblank{"events":[{"ts":"2024-06-03T18:11:40Z","type":"scroll"}]}
sess_00008Windows0trueblankuser_274122024-06-04T20:43:00Z2024-06-04T21:02:21Z1161desktopEdgeUSDallashttps://shop.example.com/sale10720truefalsefalsehttps://www.bing.com/search?q=summer+salehttps://shop.example.com/products/2832{"events":[{"ts":"2024-06-04T20:44:15Z","type":"click"},{"ts":"2024-06-04T20:50:36Z","type":"add_to_cart"},{"ts":"2024-06-04T20:59:19Z","type":"checkout"}]}

What the 200 rows show

from the 200-row sample

IPadOS os stands out: 28 of its 34 rows have abandoned_cart = true, against 14 of 166 for the rest.

  • 21%abandoned_cart = true
  • 0.0median session_value
  • 4device types
  • 10browsers
  • 17countries
  • 60cities
Abandoned cart rate by osabandoned_cart = true
0%50%100%9%Wind…6 of …11%Andr…5 of …82%iPad…28 of…0%Unkn…0 of …0%macOS0 of …0%Linux0 of …25%iOS3 of …
session_value200 rows, in bands of 500
07014013412141516440102,5004,500session_value →

Median 0.0, from 0.0 to 4,060.

payment_method74 rows with a value · 126 left blank
  1. credit_card27
  2. paypal16
  3. apple_pay12
  4. google_pay10
  5. debit_card9
24 columns by typefrom the column list below
  • string 12
  • integer 5
  • float 1
  • datetime 2
  • boolean 4

Columns

24 columns in four groups
blueprint · 24 columns
columntypedescriptionexample
Text 12 columns
session_idstringUnique identifier for each user session on the e-commerce platformuniquesess_00001
user_idstringUnique identifier for the user associated with the session (can be anonymous or registered)optionaluser_39241
device_typestringType of device used during the session (e.g., desktop, mobile, tablet)desktop · mobile · tablet · otherdesktop
browserstringBrowser used during the session10 browsers · optionalChrome
osstringOperating system of the device used7 oses · optionalWindows
countrystringCountry from which the session originatedoptionalUS
citystringCity from which the session originatedoptionalSan Francisco
referrer_urlstringURL that referred the user to the session (e.g., search engine, ad, direct)optionalhttps://www.google.com/se…
entry_page_urlstringURL of the first page visited in the sessionhttps://shop.example.com/…
exit_page_urlstringURL of the last page visited in the sessionoptionalhttps://shop.example.com/…
interaction_eventsstringFlat JSON string containing a list of key interaction events (e.g., clicks, scrolls, hovers) with timestamps and event typesoptional{"events":[{"ts":"2024-06…
payment_methodstringPayment method used for completed purchases (if any)6 values · optionalcredit_card
Numbers 6 columns
session_duration_secondsintegerTotal duration of the session in seconds0 or more3101
total_pageviewsintegerTotal number of pages viewed during the session1 or more19
product_viewsintegerNumber of product detail pages viewed during the session0 or more12
cart_additionsintegerNumber of times products were added to the cart during the session0 or more7
cart_removalsintegerNumber of times products were removed from the cart during the session0 or more1
session_valuefloatTotal monetary value of purchases made during the session (0 if no purchase)0 or more1422.5
Dates and times 2 columns
session_start_timedatetimeTimestamp when the session began2024-06-03T09:12:21Z
session_end_timedatetimeTimestamp when the session ended2024-06-03T10:04:12Z
True or false 4 columns
checkout_initiatedbooleanIndicates whether the checkout process was started during the sessiontrue
conversionbooleanIndicates whether a purchase was completed during the sessiontrue
abandoned_cartbooleanIndicates whether the session ended with items left in the cart but no purchasefalse
coupon_usedbooleanIndicates whether a coupon or discount code was applied during the sessionoptionaltrue

Use it for

  • abandoned cart21%42 of 200 rowsmean session value by…1.1kWind…80.8Andr…8.5iPad…0.0Unkn…

    An e-commerce dashboard

    The abandoned_cart rate, session_value by os and a breakdown of payment_method. Excel, Power BI or Tableau.

  • Why do 42 of 200 rows have abandoned_cart = 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 sessions with user_id, session_start_time and session_end_time to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 24 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows24 columns
Yours1,000 rows24 columnscountry: UK only

blueprint · e-commerce-session-conversion-data

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 24 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
  • Session ID and user demographics anonymized
  • Page views and actions tracked
  • Conversion outcome labeled
  • Product category and price range included
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
e-commerce-session-conversion-data

More in E-commerce

Browse all
Also in E-commerceRetail Customer Journey SessionsSales TransactionsProduct Recommendation DatasetAll 1,966 datasets

What should your data show?

Preview 20 rows free
No signup. No card.