Georgine Kellermann she/her 📯🏳️‍⚧️🏳️‍🌈

Georgine Kellermann she/her 📯🏳️‍⚧️🏳️‍🌈

@GeorgineKellerm

hat 40 Jahre super gerne bei @WDR gearbeitet. Foto: Fabian Sommer / dpa

Ratingen Joined 2012-03-07 Date of Analysis: Dec 16, 2025

41,694

Followers

489

Following

24,584

Tweets

152.9

Avg Engagement

141

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @GeorgineKellerm'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:2012-03-07
  • Verification:No
  • Location:Ratingen

Data Summary

  • Tweets Analyzed:3,241
  • Avg Likes per Tweet:102.7
  • Avg Retweets per Tweet:50.2
  • Followers Analyzed:42,000

Engagement Analysis

Based on 3,241 tweets

Her tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests her content resonates deeply with her followers.

102.7

Avg Likes/Tweet

50.2

Avg Retweets/Tweet

332,722

Total Likes

162,719

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

6

Median Likes

0

Median Retweets

57

75th Percentile

39,184

Top Tweet

3.67

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

14.3%

Original

66.8%

Replies

8.1%

Retweets

10.7%

Quotes

0.0%

Threads

0.1%

With Media

26.9%

With Links

9.5%

With #Tags

81.2%

With @Mentions

26.8%

With Emojis

83

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.66

Reply/Original Ratio

1.31

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.2%

Weekday Posts

29.8%

Weekend Posts

Top Hashtags

#noafd (21) #selbstbestimmungsgesetz (21) #transrightsarehumanrights (11) #terf (8) #oldenburg (8) #katarkontern (8) #turds (7) #twitter (6) #maennerteilensichzurreproduktion (5) #deinedgti (5)

Most Mentioned

@vonderleyen (85) @giorgiameloni (84) @yoginsandan (82) @jensteuber1 (59) @eliyahhavemann (58) @hasnainkazim (51) @wdr (51) @regendelfin (48) @jjhavemann (43) @ambrosianuss (39)

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Content Strategy Analysis

Based on 3,241 tweets

Content Type Distribution

Content Breakdown

Original Tweets 465 (14%)
Replies 2,165 (67%)
Retweets 264 (8%)
Quote Tweets 347 (11%)

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 264 retweets (8% 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 3,241 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 42,000 followers

Her audience likely includes media professionals, journalists, and followers interested in personal narratives and social issues. The content appeals to those seeking authenticity and emotional engagement.

Average

Audience Quality

20.3%

Suspicion Index

24.2%

Low-Quality %

42

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.2%

Empty Bio

19.3%

<10 Tweets

8.7%

Mass Following (>2K)

0.0%

New (<90 days)

47.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

85.0%

No URL

13.2%

<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.

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Follower Reach & Influence

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

56,008,781

Total Potential Reach

42

Median Follower Reach

216

75th Percentile Reach

8.5%

>1K followers

1.0%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

63.6%

Creators

26,706 accounts

17.1%

Consumers

7,182 accounts

19.3%

Dormant

8,112 accounts

397

Verified Followers

0.95% of total

6.3%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

Berlin, Deutschland (1,163) Deutschland (879) Berlin (850) Germany (753) Berlin, Germany (552) Hamburg, Deutschland (379) Köln, Deutschland (322) Hamburg (264) München, Bayern (223) Wien, Österreich (220)

397

Verified Followers

0.95% of total

3,150

Protected Accounts

7.5% of total

7 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
@JohnCena 14,106,814 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,603 - -
@janboehm 2,719,073 Satirist satire, podcasting, comedy
@extra3 1,080,436 - -
@ntvde 862,987 News broadcaster News, Politics, Sports
@saschalobo 771,294 Author Autor, Internet, Bookmarks
@tazgezwitscher 698,996 News Outlet News, Journalism, Genossenschaft
@dunjahayali 550,505 Journalist journalism, news, opinion
@IamMzilikazi 535,458 Musician Pan-African music, Album, Rise
@Jihoz_Axie 513,777 Entrepreneur Blockchain, Gaming, NFTs

Top Keywords in Follower Bios

sheher (1,946) fur (1,766) hehim (1,081) privat (665) noafd (659) leben (511) immer (474) politik (464) berlin (450) sieihr (441)

Top Hashtags in Follower Bios

#noafd (603) #fckafd (346) #fcknzs (305) #notjustsad (182) #standwithukraine (101) #nonazis (98) #nazisraus (73) #teamwissenschaft (71) #antifa (53) #nafo (51)

27,222

Followers With Bio

14,778

Followers Without Bio

64.81%

% With Bio

35.19%

% 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.

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Viral Tweets

Top 5 by likes+RTs from 3,241 analyzed

111,013

Combined Engagement

6,185

Total Likes

104,828

Total Retweets

22,203

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Personal Storytelling Social Commentary Emotional Expression

Key Insights & Takeaways

Her tweets often reveal personal struggles and emotional intensity, which may reflect her real-life experiences. She uses her platform to express strong opinions and personal convictions, which can influence her audience. Her content is emotionally charged and may attract followers who appreciate raw, unfiltered storytelling.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 41,694
  • + 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 @GeorgineKellerm reveals an well-established Twitter presence with 41,694 followers. The account demonstrates a conversation-first approach, averaging 152.9 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.

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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