Prof Tanja Bueltmann 

Prof Tanja Bueltmann 

@TanjaBueltmann

Professor of migration & diaspora history | Brexit & citizens' rights | migrant | dual national | she•her | my views | @ the same on Mastodon & Bluesky

Scotland https://tanjabueltmann.net/ Joined 2012-04-15 Date of Analysis: Dec 16, 2025

78,776

Followers

1,390

Following

1,143

Tweets

2,127.6

Avg Engagement

601

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TanjaBueltmann's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Mid-Tier (10K+)
  • Account Age:2012-04-15
  • Verification:No
  • Location:Scotland

Data Summary

  • Tweets Analyzed:331
  • Avg Likes per Tweet:1,044.4
  • Avg Retweets per Tweet:1,083.3
  • Followers Analyzed:10,000

Engagement Analysis

Based on 331 tweets

Her tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement suggests her content is both informative and thought-provoking for her followers.

1,044.4

Avg Likes/Tweet

1,083.3

Avg Retweets/Tweet

345,689

Total Likes

358,563

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

33

Median Likes

50

Median Retweets

1,542

75th Percentile

108,750

Top Tweet

27.01

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

5.7%

Original

57.7%

Replies

31.4%

Retweets

5.1%

Quotes

0.0%

Threads

1.8%

With Media

40.2%

With Links

6.6%

With #Tags

57.1%

With @Mentions

9.7%

With Emojis

237

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

10.05

Reply/Original Ratio

0.16

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

81.0%

Weekday Posts

19.0%

Weekend Posts

Top Hashtags

#stayingconnected (3) #r4today (2) #bookbans (1) #uss (1) #histmed (1) #medhums (1) #twitterstorians (1) #fmqs (1) #sharingspace (1) #refugeebanbill (1)

Most Mentioned

@humzayousaf (7) @nicolasturgeon (6) @garylineker (6) @abfalecbaldwin (6) @usspensions (5) @germanembassy (5) @realdonaldtrump (5) @independent (4) @tanjabueltmann (3) @rishisunak (3)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 331 tweets

Content Type Distribution

Content Breakdown

Original Tweets 19 (6%)
Replies 191 (58%)
Retweets 104 (31%)
Quote Tweets 17 (5%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 104 retweets (31% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 331 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 10,000 followers

Her audience includes academics, students, and individuals interested in migration studies and political history. She also engages with a broader public interested in current events and social justice issues.

Good

Audience Quality

16.8%

Suspicion Index

17.1%

Low-Quality %

197

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.6%

Empty Bio

9.0%

<10 Tweets

23.5%

Mass Following (>2K)

0.0%

New (<90 days)

27.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

80.3%

No URL

5.6%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

16,060,503

Total Potential Reach

197

Median Follower Reach

741

75th Percentile Reach

20.6%

>1K followers

2.1%

>10K followers

0.4%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

79.9%

Creators

7,989 accounts

11.1%

Consumers

1,108 accounts

9.0%

Dormant

903 accounts

70

Verified Followers

0.7% of total

15.8%

Professional Bios

founder, dev, analyst, etc.

0.24

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

London, England (335) London (313) United Kingdom (182) UK (135) England, United Kingdom (126) Manchester, England (60) Scotland (55) Scotland, United Kingdom (53) Glasgow, Scotland (52) London, UK (51)

70

Verified Followers

0.7% of total

778

Protected Accounts

7.78% of total

9 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@stanzaselvaggia 1,206,786 Giornalista Giornalismo, Podcast, Libri
@paulmasonnews 620,515 Journalist History, Ideology, Resistance
@TVNaga01 278,592 Journalist Journalism, Golf, Kindness
@NatureChemistry 270,376 Chemistry Chemistry, Journal, Research
@awolallo 213,971 Academic Horn of Africa, Ethiopia, Oromia
@SydesJokes 193,172 Jokester #FBPE, #FBPPR, #FBR
@rulajebreal 193,154 Professor Foreign Policy, Author, Professor
@taadelodun 189,695 - -
@stellacreasy 165,413 Politician Labour, Co-op, Walthamstow
@BrentToderian 150,611 City Planner urbanism, cities, planning

Top Keywords in Follower Bios

views (628) sheher (296) music (283) love (282) social (246) lover (239) politics (207) health (194) life (192) writer (189)

Top Hashtags in Follower Bios

#fbpe (125) #gtto (102) #blm (36) #rejoineu (22) #blacklivesmatter (21) #fbpa (18) #toriesout (17) #standwithukraine (16) #fbppr (15) #generalelectionnow (15)

7,136

Followers With Bio

2,864

Followers Without Bio

71.36%

% With Bio

28.64%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 331 analyzed

191,244

Combined Engagement

113,771

Total Likes

77,473

Total Retweets

38,249

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

60%

With @Mentions

40%

With Links

Topical Analysis:

Migration Diaspora History Brexit Citizens' Rights Historical Memory Political Discourse Identity Social Justice
Prof Tanja Bueltman…
@TanjaBueltmann

Hi @BBC, As a German I can tell you this: when politicians speak in a language not dissimilar to that used in 1930s Germany, I recognise it. Why? Because I have been taught about it all my life—and that it needs to be called out and rejected. It’s a duty to do so, in fact. 🧵 http

2023-03-08
Retweets: 22,753 Likes: 85,997 Engagement: 108,750
Prof Tanja Bueltman…
@TanjaBueltmann

RT @TrevorProject: Six trans and nonbinary young people sat down with Daniel Radcliffe in a candid and heartfelt conversation about their journeys and what genuine allyship looks like. 🎥The first episode of #SharingSpace premieres on YouTube tomorrow at 12 PM ET. ➡️ https://t.co

2023-03-31
Retweets: 29,175 Likes: 0 Engagement: 29,175
Prof Tanja Bueltman…
@TanjaBueltmann

RT @ABFalecbaldwin: ...@realDonaldTrump Release your tax returns and I'll stop. Ha

2016-12-04
Retweets: 22,747 Likes: 0 Engagement: 22,747
Prof Tanja Bueltman…
@TanjaBueltmann

The crimes my country of birth committed in the past were attrocious crimes against humanity. But let me also remind everyone of this: those crimes did not start with concentration camps—that is where they ended. So if we want ‘never again’ to have actual meaning …

2023-03-08
Retweets: 1,656 Likes: 13,838 Engagement: 15,494
Prof Tanja Bueltman…
@TanjaBueltmann

So anyway: thanks for reading and sharing this. Germans are regularly (and rightly) reminded of our horrific history. That history cannot repeat itself, but people can choose to employ the playbook that delivered it. Even very small parts of that would be unacceptable. /endPS

2023-03-08
Retweets: 1,142 Likes: 13,936 Engagement: 15,078

Key Insights & Takeaways

She frequently uses her platform to highlight historical parallels and political rhetoric, especially regarding Brexit and migration. Her personal identity as a migrant and dual national influences her perspective and the topics she discusses. She emphasizes the importance of historical memory and its relevance to contemporary political issues.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 78,776
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @TanjaBueltmann reveals an exceptionally influential Twitter presence with 78,776 followers. The account demonstrates a conversation-first approach, averaging 2,127.6 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025