Social Media
14 columns
200 rows
8 formats

Social Platform Feature Adoption Rates

This dataset provides detailed records of user adoption and interaction with new social platform features, including usage frequency, interaction types, feedback scores, and contextual information such as platform and user segment. It enables product teams to analyze feature adoption rates, identify user cohorts, and optimize feature rollouts based on real usage data and feedback.

last updated 20 Aug 2025
by GoMask

The brief that made it

Analyzing feature adoption rates across user segments

Sample rows

preview · 8 of 200 rows · all 14 columns

adoption_idstring	adoption_sourcestring	feedback_scorefloat	is_first_time_adoptionboolean	feature_categorystring	user_idstring	feature_idstring	feature_namestring	adoption_datedate	usage_countinteger	last_used_datedate	interaction_typestring	platformstring	user_segmentstring
adpt-001-A	in-app prompt	4.8	true	messaging	user_001	ftr-001	Instant Messaging	2024-06-02	156	2024-06-17	click	Android	18-24-USA_power
adpt-002-B	organic discovery	3.7	true	sharing	user_002	ftr-002	Photo Sharing	2024-05-20	3	2024-06-15	share	iOS	25-34-Europe_casual
adpt-003-C	referral	4.5	false	reactions	user_003	ftr-003	Quick Reactions	2024-05-29	45	2024-06-16	like	Web	35-44-USA_power
adpt-004-D	in-app prompt	4.2	true	networking	user_004	ftr-004	Group Networking	2024-06-03	12	2024-06-18	view	Android	18-24-Asia_power
adpt-005-E	organic discovery	3.9	true	posts	user_005	ftr-005	Post Creator	2024-05-22	1	2024-05-22	click	Web	25-34-USA_regular
adpt-006-F	referral	blank	false	settings	user_006	ftr-006	Advanced Settings	2022-11-05	0	blank	other	Other	55+-Oceania_retired
adpt-007-G	referral	2.8	false	comments	user_007	ftr-007	Comment Threads	2021-07-14	5	2023-09-04	comment	Web	45-54-Europe_retired
adpt-008-H	in-app prompt	2.3	true	videos	user_008	ftr-008	Video Stories	2024-03-12	2	2024-04-19	view	Android	25-34-Asia_new
adpt-009-I	organic discovery	3.4	true	photos	user_009	ftr-009	Photo Albums	2024-05-15	6	2024-06-15	share	iOS	18-24-Europe_casual
adpt-010-J	referral	4.7	false	messaging	user_010	ftr-010	Direct Messages	2024-06-10	789	2024-06-17	click	Android	18-24-USA_power
adpt-011-K	organic discovery	4.1	false	posts	user_011	ftr-011	Group Posts	2023-11-26	17	2024-01-05	view	Web	35-44-Africa_regular
adpt-012-L	referral	4.9	false	reactions	user_012	ftr-012	Emoji Reactions	2022-01-18	300	2024-02-13	like	Web	35-44-USA_power
adpt-013-M	referral	2.6	false	settings	user_013	ftr-013	Profile Settings	2023-09-04	2	2023-09-10	other	Other	55+-LatinAmerica_disabled
adpt-014-N	in-app prompt	4.3	true	networking	user_014	ftr-014	Friends Networking	2024-05-13	15	2024-06-10	share	Android	25-34-USA_power
adpt-015-O	organic discovery	3.1	true	videos	user_015	ftr-015	Story Viewer	2024-04-09	5	2024-06-15	view	Web	18-24-USA_casual
adpt-016-P	in-app prompt	3.8	true	posts	user_016	ftr-016	Post Scheduling	2024-05-02	23	2024-06-14	click	iOS	25-34-Europe_regular
adpt-017-Q	referral	blank	false	settings	user_017	ftr-017	App Settings	2023-03-10	0	blank	other	Other	55+-Asia_retired
adpt-018-R	referral	5	false	messaging	user_018	ftr-001	Instant Messaging	2024-05-28	9999	2024-06-16	click	Android	18-24-USA_power
adpt-019-S	in-app prompt	4.1	true	sharing	user_019	ftr-002	Photo Sharing	2024-06-01	9	2024-06-17	share	iOS	18-24-Europe_power
adpt-020-T	in-app prompt	4	true	reactions	user_020	ftr-003	Quick Reactions	2024-06-06	8	2024-06-16	like	Android	18-24-USA_power

What the 200 rows show

from the 200-row sample

In-app prompt (adoption source) stands out: 72 of its 72 rows have is_first_time_adoption = true, against 39 of 128 for the rest.

56%is_first_time_adoption = true
3.7median feedback_score
4platforms
6interaction types
50features
50user segments

Is first time adoption rate by adoption_sourceis_first_time_adoption = true

feedback_score180 rows, in bands of 0.5

Median 3.7, from 1.2 to 5.0.

feature_category200 rows · 10 values

messaging34
settings28
posts24
reactions20
networking19
sharing18
engagement17
videos14
photos14
comments12

14 columns by typefrom the column list below

string 9
integer 1
float 1
date 2
boolean 1

Columns

14 columns in four groups

blueprint · 14 columns
column	type	description	example
Text 9 columns
`adoption_id`	string	Unique identifier for each feature adoption recordunique	adpt-001-A
`user_id`	string	Unique identifier for the user interacting with the feature	user_001
`feature_id`	string	Unique identifier for the social platform feature	ftr-001
`feature_name`	string	Human-readable name of the feature	Instant Messaging
`feature_category`	string	Category or type of the feature (e.g., messaging, sharing, reactions)10 categories · optional	messaging
`interaction_type`	string	Type of interaction with the feature (e.g., click, share, comment, like)6 values	click
`platform`	string	Platform or device used (e.g., iOS, Android, Web)iOS · Android · Web · Other · optional	Android
`user_segment`	string	Segment or cohort the user belongs to (e.g., age group, region, power user)optional	18-24-USA_power
`adoption_source`	string	Source or trigger for adoption (e.g., in-app prompt, organic discovery, referral)3 sources · optional	in-app prompt
Numbers 2 columns
`usage_count`	integer	Number of times the user interacted with the feature0 or more	156
`feedback_score`	float	User feedback or rating for the feature (scale 1-5)1 to 5 · optional	4.8
Dates and times 2 columns
`adoption_date`	date	Date when the user first adopted or used the feature	2024-06-02
`last_used_date`	date	Most recent date the user interacted with the featureoptional	2024-06-17
True or false 1 column
`is_first_time_adoption`	boolean	Indicates if this is the user's first time adopting the feature	true

Use it for

A social media dashboard
The is_first_time_adoption rate, feedback_score by adoption_source and a breakdown of feature_category. Excel, Power BI or Tableau.
Why do 111 of 200 rows have is_first_time_adoption = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Adoptions200
adpt-001-A4.8in-app p…
adpt-002-B3.7organic …
adpt-003-C4.5referral
A software demo
Believable adoptions with user_id, feature_id and feature_name to fill a screen in front of a buyer.

This dataset200 rows14 columns

Yours1,000 rows14 columns

blueprint · social-platform-feature-adoption-rates

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 14 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

Track feature activation events
Record user engagement per feature
Flag rapid adoption periods
Exclude beta features

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: social-platform-feature-adoption-rates

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

A social media dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Social Media

What should your data show?