User Follower Growth Tracking

This dataset provides daily tracking of social media users' follower counts, engagement rates, and activity metrics across multiple platforms. It enables comprehensive analysis of audience growth trends, content effectiveness, and engagement strategies, supporting data-driven decision-making for influencers, brands, and marketers.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Monitor and analyze follower growth trends for influencers and brands

Sample rows

preview · 8 of 60 rows · all 9 columns
user_idstringprofile_categorystringpost_countintegerplatformstringdatedatefollower_countintegerfollowing_countintegerengagement_ratefloatnotesstring
alex_johnson_23influencer210Instagram2023-04-10154003202.7Shared spring fashion collaboration
mktg.solutionsbrand67LinkedIn2023-04-1018901135.1blank
parker_leeentertainment394TikTok2023-04-111012302108.3Viral dance trend participation
emily_raypersonal142YouTube2023-04-1035200563.4blank
techpulsenews1240Twitter2023-04-1087656521.2Live tweeting tech expo
linda_barnespersonal97Facebook2023-04-114703159.1blank
chef_antoineinfluencer563Instagram2023-04-111205001106.8New recipe video posted
citynews_todaynews2012Facebook2023-04-1021900450.7blank

What the 60 rows show

from the 60-row sample

News (profile category) stands out: mean post_count is 1,192, against 208.5 for the rest.

  • 152median post_count
  • 8,426median follower_count
  • 210.5median following_count
  • 4.7median engagement_rate
Mean post_count by profile_category59 rows
01,0002,000110.7perso…15 rows207.1brand13 rows342.4influ…11 rows1,192news11 rows248.1enter…7 rows75.5educa…2 rows
post_count60 rows, in bands of 250
020403511613011201,2502,250post_count →

Median 152, from 8 to 2,017.

platform60 rows · 7 values
  1. Instagram16
  2. LinkedIn9
  3. Twitter9
  4. Facebook9
  5. YouTube8
  6. TikTok6
  7. Other3
9 columns by typefrom the column list below
  • string 4
  • integer 3
  • float 1
  • date 1

Columns

9 columns in three groups
blueprint · 9 columns
columntypedescriptionexample
Text 4 columns
user_idstringUnique identifier for the social media user (platform-specific ID or username).alex_johnson_23
platformstringName of the social media platform (e.g., Instagram, Twitter, TikTok).7 valuesInstagram
profile_categorystringCategory or niche of the user's profile (e.g., influencer, brand, news, entertainment, personal).6 categories · optionalinfluencer
notesstringOptional notes or comments about the user's activity or events on the given date (e.g., campaign launched, viral post).optionalLive tweeting tech expo
Numbers 4 columns
follower_countintegerTotal number of followers the user has on the given date.0 or more15400
following_countintegerTotal number of accounts the user is following on the given date.0 or more · optional320
post_countintegerTotal number of posts/content pieces published by the user as of the given date.0 or more · optional210
engagement_ratefloatEngagement rate for the user on the given date (e.g., likes+comments per follower, as a percentage).0 to 100 · optional2.7
Dates and times 1 column
datedateDate for which the follower count is recorded.2023-04-10

Use it for

  • median post co…15260 rowsmean post count by pr…110.7pers…207.1brand342.4infl…1.2knews

    A social media dashboard

    Post_count by profile_category and a breakdown of platform. Excel, Power BI or Tableau.

  • Why do the 11 news rows have a mean post_count of 1,192?

    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 users with platform, date and follower_count to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 9 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 dataset60 rows9 columns
Yours1,000 rows9 columns

blueprint · user-follower-growth-tracking

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 9 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
  • Capture daily follower counts per user
  • Flag negative growth days
  • Segment by influencer status
  • Log spikes above 10% daily increase
  • Summarize monthly growth rates
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
user-follower-growth-tracking

What should your data show?

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