Stadt Dortmund
Hier twittert das Social-Media-Team der Stadt Dortmund, Fachbereich Marketing + Kommunikation. Impressum, Datenschutz & Netiquette ➡ http://www.dortmund.de/allgemeines/
107,589
Followers
1,039
Following
43,069
Tweets
7.8
Avg Engagement
345
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stadtdortmund'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: Macro Influencer (100K+)
- Account Age:2009-04-03
- Verification:Yes
- Location:Dortmund
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:5.8
- Avg Retweets per Tweet:2.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,241 tweetsThe account sees an average of 379 likes and 35 retweets per tweet, indicating moderate engagement. The content is mostly liked rather than retweeted, suggesting a focus on informative and promotional posts.
5.8
Avg Likes/Tweet
2.0
Avg Retweets/Tweet
18,930
Total Likes
6,422
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
7
75th Percentile
1,442
Top Tweet
0.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.0%
Original
11.5%
Replies
16.1%
Retweets
0.4%
Quotes
0.0%
Threads
0.2%
With Media
90.2%
With Links
87.1%
With #Tags
46.5%
With @Mentions
52.1%
With Emojis
261
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.5%
Weekday Posts
20.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 521 retweets (16% 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 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 10,000 followersThe primary audience is local residents of Dortmund and fans of the BVB football team. The content is also likely to attract visitors and those interested in local culture and events.
Below Average
Audience Quality
41.7%
Suspicion Index
65.6%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.0%
Empty Bio
71.1%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
78.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
62.1%
<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.
1,486,482
Total Potential Reach
1
Median Follower Reach
6
75th Percentile Reach
1.4%
>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).
16.4%
Creators
1,645 accounts
12.4%
Consumers
1,244 accounts
71.1%
Dormant
7,111 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):
18
Verified Followers
0.18% of total
714
Protected Accounts
7.14% of total
2 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 |
|---|---|---|---|
| @WWF_Deutschland | 484,651 | Environmental Activist | Umwelt, Natur, Planet |
| @SDGaction | 149,376 | Advocacy | mobilize, inspire, connect |
| @EUeic | 53,052 | Innovation | Research, Innovation, Market_creation |
| @PixelHELPER | 41,068 | Activist | human rights, art, democracy |
| @oliverwurm | 35,717 | - | - |
| @OldPrague | 24,085 | - | - |
| @WirtschaftNRW | 22,289 | - | - |
| @tamaranfts | 17,448 | - | - |
| @EURO2024DE | 14,194 | - | - |
| @sogeti | 13,730 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,097
Followers With Bio
6,903
Followers Without Bio
30.97%
% With Bio
69.03%
% 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 3,241 analyzed3,727
Combined Engagement
2,753
Total Likes
974
Total Retweets
745
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Jetzt haben wir es in der Hand. Jetzt zählt es. Die Kneipen in #Dortmund sind rappelvoll. Die #BVB-Fans in #FCABVB so laut, dass wir sie hier hören. Alle Vollgas für eine schwarz-gelbe Meisterparty am kommenden Wochenende 🖤💛❤️🤍 https://t.co/sIeeU9LUwi
RT @BBK_Bund: Der #Warntag2022 läuft! Damit Sie eine Feedbackmöglichkeit haben, wir Erfahrungen gebündelt sammeln & die technische Funktionsweise & Wirkung der Warnung sowie der Warnmittel analysieren können, bitten wir Sie, sich auf https://t.co/4JuB4qRE9T an der Umfrage
Können wir heute Abend #Borsigplatz-Fotos in die Twitter Trends bringen? 🖤💛❤️🤍 #bvbsge https://t.co/qOQxIgWCyN
@1FSVMainz05 Wir laden aus Dank Eure Mannschaft vor dem 34. Spieltag gerne zu einer Verkostung lokaler Gerstensäfte ein. Nur für den Fall, dass wir da noch drei Punkte brauchen 😜😁
Was ist geplant, wenn der #BVB Deutscher Meister wird? Das erfahrt ihr um 12 Uhr bei der Pressekonferenz zur möglichen @BVB #Meisterfeier in #Dortmund 🖤💛❤️🤍 https://t.co/1mwxCnf822 https://t.co/cUef83jMGL
Key Insights & Takeaways
The account frequently highlights local events and sports, particularly involving the BVB team. It uses hashtags effectively to increase visibility and engagement. There is a clear emphasis on community and local pride, especially around major events like potential championship celebrations.
Strengths
- + Established follower base of 107,589
- + 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 @stadtdortmund reveals an growing Twitter presence with 107,589 followers. The account demonstrates a content-creator strategy, averaging 7.8 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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