S-Bahn München
Offizieller Account der S-Bahn München mit 24/7 Infos zur Betriebslage. Individuelle Serviceanfragen bitte direkt an: @DB_Bahn
70,985
Followers
34
Following
39,853
Tweets
2.2
Avg Engagement
300
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @streckenagent_M'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:2013-04-10
- Verification:No
- Location:München
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:2.0
- Avg Retweets per Tweet:0.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady but moderate level of engagement, with an average of 34 likes and 8 retweets per tweet. The content is primarily informational, which may influence engagement patterns.
2.0
Avg Likes/Tweet
0.1
Avg Retweets/Tweet
6,518
Total Likes
479
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
3
75th Percentile
143
Top Tweet
0.03
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.6%
Original
0.2%
Replies
0.1%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
71.4%
With Links
99.0%
With #Tags
0.2%
With @Mentions
1.2%
With Emojis
199
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.9%
Weekday Posts
18.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 3 retweets (0% 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 3,250 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 50,000 followersThe primary audience consists of public transport users in Munich who rely on real-time updates for their daily commutes. The account also attracts individuals interested in transportation news and service alerts.
Below Average
Audience Quality
44.2%
Suspicion Index
71.3%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
77.5%
Empty Bio
75.8%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
81.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
65.2%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
22,597,832
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
12.6%
Creators
6,296 accounts
11.7%
Consumers
5,829 accounts
75.8%
Dormant
37,875 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):
112
Verified Followers
0.16% of total
4,583
Protected Accounts
6.54% 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 | 14,106,668 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hootsuite | 7,331,657 | Social Media Manager | Social media, news, tips |
| @verified | 4,201,242 | - | - |
| @DietmarHamann | 633,913 | Footballer | Football, Pundit, Liverpool |
| @PolizeiMuenchen | 496,448 | Police | safety, security, community |
| @ZimEye | 415,078 | Journalist | Zimbabwe, Africa, Journalism |
| @muenchen | 273,159 | City Administration | City, Portal, Official |
| @StadtMuenchen | 257,750 | Government | - |
| @BahnAnsagen | 257,286 | Announcements | Trains, Announcements, Social Media |
| @SBahnBerlin | 238,020 | Transportation | Transportation, Updates, Offers |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,145
Followers With Bio
53,909
Followers Without Bio
23.05%
% With Bio
76.95%
% 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 3,250 analyzed342
Combined Engagement
283
Total Likes
59
Total Retweets
68
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Dieser Zug fällt leider aus. Bitte alternativ davor oder danach fahrende Züge nutzen.
Polizeieinsatz.
#S8 #GermeringUnterpfaffenhofen #MünchenOst: Heute Nachmittag entfallen alle S-Bahnen des 10-Minuten-Takts aufgrund kurzfristiger Erkrankung von Personal aus. https://t.co/CrGpOX6LoS #sbahnmünchen
Dieser Zug fällt leider aus. Bitte alternativ davor oder danach fahrende Züge nutzen.
#Stammstrecke/Gesamtnetz: #Pasing - #München_Ostbahnhof gesperrt wegen eines Feuerwehreinsatzes. Abweichende Linienführung. Verspätungen, Teilausfälle. https://t.co/CrGpOX6LoS #sbahnmünchen
Key Insights & Takeaways
The account frequently posts about train cancellations and alternative routes, indicating a focus on customer service and communication during disruptions. The use of verified accounts and direct contact information suggests a commitment to reliability and transparency. The high number of followers indicates strong public trust in the account's information and service updates.
Strengths
- + Established follower base of 70,985
- + 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 @streckenagent_M reveals an growing Twitter presence with 70,985 followers. The account demonstrates a content-creator strategy, averaging 2.2 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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