Telecommunications
17 columns
200 rows
8 formats

Telecom Customer Plan Migration Records

This dataset provides detailed, event-level records of telecom customers migrating between service plans, including associated churn risk scores, device upgrade activity, and the impact of promotional offers. It enables longitudinal analysis of customer lifecycle events, plan preferences, and retention strategies, making it valuable for churn modeling, marketing optimization, and customer value analysis.

last updated 12 Jul 2025
by GoMask

The brief that made it

Churn prediction and customer retention modeling

Sample rows

preview · 8 of 200 rows · all 17 columns

migration_idstring	customer_genderstring	churn_risk_scorefloat	device_upgradeboolean	device_model_afterstring	customer_idstring	migration_datedatetime	previous_plan_idstring	new_plan_idstring	device_model_beforestring	promotion_appliedboolean	promotion_idstring	monthly_fee_beforefloat	monthly_fee_afterfloat	tenure_monthsinteger	customer_ageinteger	customer_regionstring
MIG00001	female	0.32	true	Apple iPhone 13	CUST1001	2022-03-14T15:27:10	PLAN_BASIC_101	PLAN_PLUS_202	Apple iPhone XR	true	PLUS2022MAR	38.99	64.99	14	27	Urban Northeast
MIG00002	male	0.91	false	blank	CUST1002	2023-08-22T10:19:55	PLAN_FAMILY_305	PLAN_PREPAID_008	Samsung Galaxy S9	false	blank	112.5	0	36	59	Rural Midwest
MIG00003	male	0.46	false	blank	CUST1003	2021-12-10T13:45:03	PLAN_STUDENT_012	PLAN_BASIC_101	Google Pixel 4a	true	BASIC2022	19.5	36	11	22	Central
MIG00004	female	0.39	true	Samsung Galaxy S22 Ultra	CUST1004	2023-06-08T09:05:33	PLAN_PLUS_202	PLAN_PREMIUM_401	Samsung Galaxy S20	true	UPGRADE401	64	96.5	16	37	West Coast
MIG00005	other	0.23	false	blank	CUST1005	2024-01-12T18:23:41	PLAN_YOUTH_017	PLAN_STUDENT_012	Apple iPhone SE 2020	false	blank	17	22.5	7	20	Urban Southwest
MIG00006	female	0.82	false	blank	CUST1006	2022-05-06T14:01:24	PLAN_PREMIUM_401	PLAN_BASIC_101	LG Velvet	true	BASIC2022MAY	104	29.99	28	54	Mountain
MIG00007	male	0.36	true	OnePlus 11R	CUST1007	2023-03-18T11:10:12	PLAN_PLUS_202	PLAN_FAMILY_305	OnePlus 8T	false	blank	62	88.25	20	42	Northeast
MIG00008	female	0.94	false	blank	CUST1008	2022-10-24T17:43:09	PLAN_UNLIM_501	PLAN_PREPAID_008	Samsung Galaxy A32	false	blank	139	0	6	61	Appalachia
MIG00009	male	0.28	true	Apple iPhone 12	CUST1009	2021-11-29T13:02:44	PLAN_STUDENT_012	PLAN_PLUS_202	Moto G Power	true	PLUS2021NOV	22	53	10	23	Urban Central
MIG00010	female	0.48	true	Google Pixel 8 Pro	CUST1010	2023-12-18T16:39:37	PLAN_BASIC_101	PLAN_PREMIUM_401	Google Pixel 5	false	blank	37.99	87.5	16	31	Urban Northeast
MIG00011	prefer_not_to_say	0.29	false	blank	CUST1011	2022-09-20T09:22:01	PLAN_YOUTH_017	PLAN_BASIC_101	iPhone 7	true	BASICSEP22	15	32	8	21	Central
MIG00012	female	0.13	false	blank	CUST1012	2022-07-15T08:47:35	PLAN_PREPAID_008	PLAN_BASIC_101	Samsung Galaxy A10e	false	blank	0	26	2	33	West Coast
MIG00013	male	0.41	true	Apple iPhone 14 Pro	CUST1013	2023-05-12T14:31:10	PLAN_FAMILY_305	PLAN_PREMIUM_401	Apple iPhone 11	true	PREMIUMMAY	95	129.99	18	48	Northeast
MIG00014	male	0.34	false	blank	CUST1014	2023-02-20T13:59:11	PLAN_BASIC_101	PLAN_PLUS_202	Google Pixel 6a	false	blank	35	63	13	29	Urban Northeast
MIG00015	female	0.27	true	Samsung Galaxy S24	CUST1015	2024-03-19T15:43:23	PLAN_PLUS_202	PLAN_PREMIUM_401	Samsung Galaxy S21	true	PREMIUM24MAR	68	112	15	36	Urban West Coast
MIG00016	female	0.3	false	blank	CUST1001	2023-10-03T14:57:09	PLAN_PLUS_202	PLAN_UNLIM_501	Apple iPhone 13	true	UNLIM2023FALL	64.99	99	14	28	Urban Northeast
MIG00017	male	0.97	false	blank	CUST1016	2023-01-27T11:24:44	PLAN_UNLIM_501	PLAN_PREPAID_008	Samsung Galaxy S10	false	blank	149.5	0	44	66	Rural Midwest
MIG00018	female	0.44	false	blank	CUST1017	2023-11-12T13:18:13	PLAN_BASIC_101	PLAN_PLUS_202	Apple iPhone XS	true	PLUSNOV23	38	60.5	17	32	Urban Northeast
MIG00019	male	0.22	true	Apple iPhone SE 2022	CUST1018	2021-10-02T16:12:29	PLAN_YOUTH_017	PLAN_STUDENT_012	Samsung Galaxy A20	false	blank	18	24.5	5	19	Urban Central
MIG00020	female	0.42	true	Apple iPhone 14 Pro	CUST1019	2022-06-25T11:32:56	PLAN_FAMILY_305	PLAN_PREMIUM_401	Apple iPhone 12	true	FAM2PREM22	105	140	20	46	West Coast

What the 200 rows show

from the 200-row sample

40%device_upgrade = true
0.39median churn_risk_score
20customer regions
26new plans
29previous plans
59.2median monthly_fee_before

customer_gender200 rows by value

churn_risk_score200 rows, in bands of 0.1

Median 0.39, from 0.11 to 1.0.

device_model_after79 rows with a value · 121 left blank

Samsung Galaxy S239
iPhone 15 Pro7
Samsung Galaxy S23 Ultra6
Google Pixel 85
iPhone 15 Pro Max5
Apple iPhone 14 Pro3
Apple iPhone SE 20223
Google Pixel 7 Pro3
iPhone 143
iPhone 14 Pro3

17 columns by typefrom the column list below

string 9
integer 2
float 3
datetime 1
boolean 2

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 9 columns
`migration_id`	string	Unique identifier for each plan migration event.unique	MIG00001
`customer_id`	string	Unique identifier for the customer.	CUST1001
`previous_plan_id`	string	Identifier for the customer's previous telecom plan.	PLAN_BASIC_101
`new_plan_id`	string	Identifier for the customer's new telecom plan after migration.	PLAN_PLUS_202
`device_model_before`	string	Model of the customer's device before migration.optional	Apple iPhone XR
`device_model_after`	string	Model of the customer's device after migration (if upgraded).optional	Apple iPhone 13
`promotion_id`	string	Identifier for the promotion applied (if any).optional	PLUS2022MAR
`customer_gender`	string	Gender of the customer (if available).male · female · other · prefer_not_to_say · optional	female
`customer_region`	string	Geographic region or market segment of the customer.optional	Urban Northeast
Numbers 5 columns
`churn_risk_score`	float	Predicted risk of customer churn at the time of migration (0.0 to 1.0).0 to 1	0.32
`monthly_fee_before`	float	Monthly fee of the customer's previous plan.0 or more	38.99
`monthly_fee_after`	float	Monthly fee of the customer's new plan.0 or more	64.99
`tenure_months`	integer	Number of months the customer was on the previous plan before migration.0 or more	14
`customer_age`	integer	Age of the customer at the time of migration.0 or more · optional	27
Dates and times 1 column
`migration_date`	datetime	Date and time when the customer switched plans.	2022-03-14T15:27:10
True or false 2 columns
`device_upgrade`	boolean	Indicates if the customer upgraded their device during migration.	true
`promotion_applied`	boolean	Indicates if a promotional offer was applied during migration.	true

Use it for

A telecommunications dashboard
The device_upgrade rate, churn_risk_score by customer_gender and a breakdown of device_model_after. Excel, Power BI or Tableau.
Why do 79 of 200 rows have device_upgrade = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
Migrations200
MIG000010.32female
MIG000020.91male
MIG000040.39female
A software demo
Believable migrations with customer_id, migration_date and previous_plan_id to fill a screen in front of a buyer.

This dataset200 rows17 columns

Yours1,000 rows17 columnscustomer_region: UK only

blueprint · telecom-customer-plan-migration-records

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

Each record: customer, current and previous plan
Timestamp and reason for migration
Promotion/discount flag included
Device upgrade at migration noted
Churn risk scored post-migration

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-customer-plan-migration-records

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?