BVB Buzz
All things Borussia Dortmund on the @Fansided Network | #HejaBVB #EchteLiebe 🟡⚫
114,521
Followers
191
Following
14,100
Tweets
469.2
Avg Engagement
459
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BVBBuzz'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:2016-09-14
- Verification:No
- Location:Dortmund, Germany
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:342.9
- Avg Retweets per Tweet:126.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsBVBBuzz consistently generates high engagement with its tweets, often reaching thousands of likes and retweets. The account's focus on breaking news and fan interaction helps drive this engagement.
342.9
Avg Likes/Tweet
126.4
Avg Retweets/Tweet
1,113,674
Total Likes
410,422
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
114
Median Likes
12
Median Retweets
489
75th Percentile
30,579
Top Tweet
4.1
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
78.0%
Original
1.7%
Replies
18.7%
Retweets
1.7%
Quotes
0.0%
Threads
0.1%
With Media
60.0%
With Links
76.6%
With #Tags
23.4%
With @Mentions
22.0%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
56.4%
Weekday Posts
43.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 606 retweets (19% 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 3,248 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 consists of Borussia Dortmund fans who are interested in the latest club news, transfers, and match updates. The account also attracts followers who are passionate about football and follow the Fansided Network.
Average
Audience Quality
33.6%
Suspicion Index
41.8%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.0%
Empty Bio
43.7%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
72.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
30.6%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
1,299,721
Total Potential Reach
15
Median Follower Reach
75
75th Percentile Reach
1.9%
>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).
31.6%
Creators
3,162 accounts
24.7%
Consumers
2,470 accounts
43.7%
Dormant
4,368 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):
17
Verified Followers
0.17% of total
918
Protected Accounts
9.18% 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 |
|---|---|---|---|
| @Fanabteilung | 34,150 | - | - |
| @amodeste27 | 33,370 | - | - |
| @BintiGeita | 33,269 | - | - |
| @AnthonyKivela | 26,422 | - | - |
| @Transferintel | 20,156 | - | - |
| @Ronguno_ | 14,232 | - | - |
| @FrLaliga | 11,409 | - | - |
| @topskillsportuk | 10,660 | - | - |
| @paulgreene___ | 10,633 | - | - |
| @losblancoszone | 8,790 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,701
Followers With Bio
5,299
Followers Without Bio
47.01%
% With Bio
52.99%
% 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 3,248 analyzed116,804
Combined Engagement
0
Total Likes
116,804
Total Retweets
23,361
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @FabrizioRomano: 🚨⚪️ Real Madrid are close to complete deal to sign Jude Bellingham, confirmed. Negotiations are progressing to the final stages. Personal terms are almost agreed — Juni Calafat, crucial again. New meeting has been scheduled to complete the agremeent with Bor
RT @Sanchooo10: 🙏🏼 https://t.co/yjcjqf8mwL
RT @ErlingHaaland: I don't understand why there is still room for racism and discrimination. We will never tire of fighting against any form of discrimination. Instead of being applauded for having the courage to take the penalties, these young men are attacked with racist insult
RT @BellinghamJude: We win together and we lose together. So proud to have teammates with such top character. Takes huge bollocks just to volunteer. As for the racism, hurtful but not surprising. Will never get bored of saying that more needs to be done. Educate and control the p
RT @England: Your #ThreeLions squad for the @FIFAWorldCup! 🦁 https://t.co/z6gVkRTlT3
Key Insights & Takeaways
The account frequently breaks news on major transfers, such as the potential move of Jadon Sancho. It uses hashtags like #HejaBVB and #EchteLiebe to foster a sense of community and fan identity. The account's content is tailored to appeal to Dortmund supporters, with a strong emphasis on emotional connection and loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 114,521
- + 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 @BVBBuzz reveals an well-established Twitter presence with 114,521 followers. The account demonstrates a content-creator strategy, averaging 469.2 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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