Telecommunications
18 columns
200 rows
8 formats

Telecom Subscriber Usage Patterns

This dataset provides detailed, event-level telecommunications usage records for individual subscribers, including calls, SMS, and data sessions, enriched with device, location, and demographic attributes. It is ideal for customer segmentation, churn prediction, and targeted marketing analytics in the telecom industry.

opened 10 times
last updated 21 Aug 2025
by GoMask

The brief that made it

Customer segmentation for targeted marketing campaigns

Sample rows

preview · 8 of 200 rows · all 18 columns

subscriber_idstring	directionstring	data_volume_mbfloat	is_roamingboolean	subscriber_genderstring	event_idstring	event_typestring	event_datetimedatetime	duration_secondsinteger	sms_countinteger	counterparty_numberstring	cell_tower_idstring	location_citystring	location_statestring	location_countrystring	device_typestring	plan_typestring	subscriber_ageinteger
SUB0001	outgoing	blank	false	female	EVT10001	call	2024-05-01T08:15:23Z	120	blank	+12045550121	CT1001	San Francisco	CA	USA	smartphone	postpaid	28
SUB0002	incoming	blank	false	male	EVT10002	sms	2024-05-01T09:07:45Z	blank	3	+447911123456	CT1002	London	England	UK	feature phone	prepaid	38
SUB0003	outgoing	120.5	true	female	EVT10003	data	2024-05-01T10:23:19Z	900	blank	blank	CT1003	Berlin	Berlin	Germany	tablet	postpaid	45
SUB0004	incoming	blank	false	male	EVT10004	call	2024-05-01T10:45:00Z	35	blank	+61123456789	CT1004	Sydney	NSW	Australia	smartphone	family	52
SUB0005	outgoing	512.75	false	female	EVT10005	data	2024-05-01T11:32:11Z	1800	blank	blank	CT1005	Toronto	ON	Canada	smartphone	prepaid	23
SUB0006	outgoing	blank	false	female	EVT10006	sms	2024-05-01T12:01:37Z	blank	5	+33123456789	CT1006	Paris	IDF	France	feature phone	postpaid	67
SUB0007	outgoing	blank	false	male	EVT10007	call	2024-05-01T12:45:22Z	300	blank	+4915112345678	CT1007	Frankfurt	HE	Germany	smartphone	family	31
SUB0008	incoming	2048.2	false	other	EVT10008	data	2024-05-01T13:09:15Z	2400	blank	blank	CT1008	Mumbai	MH	India	smartphone	postpaid	19
SUB0009	incoming	blank	true	male	EVT10009	sms	2024-05-01T13:35:41Z	blank	1	+5511998765432	CT1009	São Paulo	SP	Brazil	feature phone	prepaid	41
SUB0010	outgoing	blank	false	female	EVT10010	call	2024-05-01T14:08:29Z	60	blank	+818012345678	CT1010	Tokyo	Tokyo	Japan	smartphone	postpaid	35
SUB0011	outgoing	blank	true	unknown	EVT10011	sms	2024-05-01T15:03:48Z	blank	2	+61412345678	CT1011	Melbourne	VIC	Australia	tablet	family	60
SUB0012	incoming	4096.8	false	female	EVT10012	data	2024-05-01T16:20:22Z	3600	blank	blank	CT1012	Delhi	DL	India	tablet	postpaid	22
SUB0013	incoming	blank	false	male	EVT10013	call	2024-05-01T17:14:42Z	350	blank	+14165550123	CT1013	Vancouver	BC	Canada	smartphone	prepaid	50
SUB0014	outgoing	62.3	false	female	EVT10014	data	2024-05-01T18:38:57Z	180	blank	blank	CT1014	Barcelona	CAT	Spain	feature phone	postpaid	27
SUB0015	incoming	blank	false	female	EVT10015	sms	2024-05-01T19:00:14Z	blank	15	+390612345678	CT1015	Rome	Lazio	Italy	smartphone	family	33
SUB0016	outgoing	blank	false	male	EVT10016	call	2024-05-01T20:09:21Z	65	blank	+8613912345678	CT1016	Beijing	BJ	China	smartphone	postpaid	58
SUB0017	incoming	20	false	male	EVT10017	data	2024-05-01T21:14:33Z	360	blank	blank	CT1017	Madrid	Madrid	Spain	tablet	prepaid	44
SUB0018	outgoing	blank	true	other	EVT10018	sms	2024-05-01T21:45:30Z	blank	8	+74951234567	CT1018	Moscow	MOW	Russia	feature phone	family	62
SUB0019	incoming	blank	false	female	EVT10019	call	2024-05-01T22:05:00Z	900	blank	+5511987654321	CT1019	Rio de Janeiro	RJ	Brazil	smartphone	prepaid	38
SUB0020	outgoing	80.2	false	male	EVT10020	data	2024-05-01T23:29:40Z	600	blank	blank	CT1020	New York	NY	USA	smartphone	postpaid	29

What the 200 rows show

from the 200-row sample

24%is_roaming = true
560.6median data_volume_mb
3event types
3device types
3plan types
41location countries

direction200 rows by value

data_volume_mb65 rows, in bands of 2,000

Median 560.6, from 8.2 to 10,240.

subscriber_gender200 rows · 4 values

female91
male79
unknown16
other14

18 columns by typefrom the column list below

string 12
integer 3
float 1
datetime 1
boolean 1

Columns

18 columns in four groups

blueprint · 18 columns
column	type	description	example
Text 12 columns
`subscriber_id`	string	Unique identifier for each telecom subscriberunique	SUB0001
`event_id`	string	Unique identifier for each usage event (call, SMS, data session)unique	EVT10001
`event_type`	string	Type of usage event: call, sms, or datacall · sms · data	call
`direction`	string	Direction of the event: incoming or outgoingincoming · outgoing	outgoing
`counterparty_number`	string	Phone number of the other party involved in the event (call/SMS)optional	+12045550121
`cell_tower_id`	string	Identifier for the cell tower used during the eventoptional	CT1001
`location_city`	string	City where the event occurredoptional	San Francisco
`location_state`	string	State or region where the event occurredoptional	CA
`location_country`	string	Country where the event occurredoptional	USA
`device_type`	string	Type of device used for the event (e.g., smartphone, feature phone, tablet)3 types · optional	smartphone
`plan_type`	string	Subscriber's telecom plan type (e.g., prepaid, postpaid, family)3 types · optional	postpaid
`subscriber_gender`	string	Gender of the subscribermale · female · other · unknown · optional	female
Numbers 4 columns
`duration_seconds`	integer	Duration of the event in seconds (applies to calls and data sessions)0 or more · optional	120
`data_volume_mb`	float	Volume of data used in megabytes (applies to data sessions)0 or more · optional	120.5
`sms_count`	integer	Number of SMS messages sent in this event (applies to SMS events)1 or more · optional	3
`subscriber_age`	integer	Age of the subscriber at the time of the event0 to 120 · optional	28
Dates and times 1 column
`event_datetime`	datetime	Timestamp when the event occurred	2024-05-01T08:15:23Z
True or false 1 column
`is_roaming`	boolean	Indicates if the event occurred while the subscriber was roamingoptional	false

Use it for

A telecommunications dashboard
The is_roaming rate, data_volume_mb by direction and a breakdown of subscriber_gender. Excel, Power BI or Tableau.
Why do 47 of 200 rows have is_roaming = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
Subscribers200
SUB0001outgoing
SUB0003120.5outgoing
SUB0009incoming
A software demo
Believable subscribers with event_id, event_type and event_datetime to fill a screen in front of a buyer.

This dataset200 rows18 columns

Yours1,000 rows18 columnslocation_city: UK only

blueprint · telecom-subscriber-usage-patterns

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

Subscriber ID anonymized per record
Call, SMS, and data usage events tracked
Device type and plan tier logged
Location region at event time provided
Churn propensity calculated monthly

Rows1,000 rows10,000 rows100,000 rows1,000,000 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: telecom-subscriber-usage-patterns

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A telecommunications dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Telecommunications

What should your data show?