Mathieu von Rohr
Journalist @DerSPIEGEL • Ressortleiter Ausland • International Editor • 🇨🇭 in 🇩🇪 • same handle on Bluesky, Mastodon & Threads
58,703
Followers
4,546
Following
77,326
Tweets
729.2
Avg Engagement
1,596
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mathieuvonrohr'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:2008-11-04
- Verification:No
- Location:Hamburg, Germany
Data Summary
- Tweets Analyzed:3,223
- Avg Likes per Tweet:72.8
- Avg Retweets per Tweet:656.4
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,223 tweetsTheir tweets typically receive a high number of likes and moderate retweets, suggesting a strong level of interest in their content. The engagement is consistent across their posts.
72.8
Avg Likes/Tweet
656.4
Avg Retweets/Tweet
234,738
Total Likes
2,115,502
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
34
Median Retweets
286
75th Percentile
200,625
Top Tweet
12.42
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
15.9%
Original
7.8%
Replies
66.1%
Retweets
10.2%
Quotes
0.0%
Threads
0.4%
With Media
77.4%
With Links
17.0%
With #Tags
80.7%
With @Mentions
8.5%
With Emojis
203
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.49
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,223 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 2,130 retweets (66% 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 3,223 tweetsEngagement 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 10,999 followersThe audience includes individuals interested in international news and politics, particularly those following German media outlets. They also engage with users on platforms like Bluesky and Mastodon.
Average
Audience Quality
25.5%
Suspicion Index
27.7%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
22.3%
<10 Tweets
20.5%
Mass Following (>2K)
0.0%
New (<90 days)
52.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.5%
No URL
16.1%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
31,729,091
Total Potential Reach
66
Median Follower Reach
321
75th Percentile Reach
12.2%
>1K followers
1.8%
>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).
63.3%
Creators
6,957 accounts
14.4%
Consumers
1,585 accounts
22.3%
Dormant
2,457 accounts
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):
138
Verified Followers
1.25% of total
941
Protected Accounts
8.56% of total
6 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 | 14,075,831 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jdickerson | 1,906,515 | Journalist | News, Politics, Journalism |
| @MollyJongFast | 1,090,934 | Writer | writing, podcasting, newsletter |
| @EricHolthaus | 485,059 | Climate Activist | Climate justice, Youth empowerment, COP26 |
| @GeoRebekah | 411,440 | Scientist | Nat hazards, climate, COVID19 |
| @apmassaro3 | 400,771 | - | - |
| @cbouzy | 379,603 | Entrepreneur | coding, development, entrepreneurship |
| @kamilkazani | 345,337 | - | - |
| @semaforben | 343,499 | Media columnist | media, fireworks, scoops |
| @BNOFeed | 321,071 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,684
Followers With Bio
4,315
Followers Without Bio
60.77%
% With Bio
39.23%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,223 analyzed489,541
Combined Engagement
0
Total Likes
489,541
Total Retweets
97,908
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @BarackObama: Today, the Supreme Court not only reversed nearly 50 years of precedent, it relegated the most intensely personal decision someone can make to the whims of politicians and ideologues—attacking the essential freedoms of millions of Americans.
RT @paddingtonbear: Thank you Ma’am, for everything.
RT @GeorgeAnagli: Sri Lanka citizens chilling in their president’s residence. 😂😂 https://t.co/lwWDpyXdSG
RT @ianlauerastro: HUBBLE vs JWST: Here's the difference. Welcome to a new era of astronomy. https://t.co/ATIOhc2mnQ
RT @amanpour: Protests are sweeping Iran & women are burning their hijabs after the death last week of Mahsa Amini, following her arrest by the “morality police”. Human rights groups say at least 8 have been killed. Last night, I planned to ask President Raisi about all this
Key Insights & Takeaways
Their tweets often reflect a critical stance on geopolitical issues, especially regarding Ukraine and Russia. They engage in discussions about international politics and media coverage. They use their platform to share opinions and insights on current events and political discourse.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,703
- + Strong original content creation
- + 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 @mathieuvonrohr reveals an well-established Twitter presence with 58,703 followers. The account demonstrates a content-creator strategy, averaging 729.2 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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