VfL Wolfsburg EN/US 🇬🇧 🇺🇸
Official international Twitter account of VfL Wolfsburg. Privacy policy: https://www.vfl-wolfsburg.de/allgemeines/datenschutz
77,566
Followers
437
Following
24,264
Tweets
199.8
Avg Engagement
834
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VfLWolfsburg_EN'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:2014-09-11
- Verification:No
- Location:Wolfsburg, Germany
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:175.2
- Avg Retweets per Tweet:24.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction and interest in the club's content.
175.2
Avg Likes/Tweet
24.7
Avg Retweets/Tweet
569,376
Total Likes
80,133
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
1
Median Retweets
35
75th Percentile
323,062
Top Tweet
2.58
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
64.8%
Original
16.3%
Replies
5.8%
Retweets
13.1%
Quotes
0.0%
Threads
0.3%
With Media
89.6%
With Links
56.8%
With #Tags
42.4%
With @Mentions
60.1%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
2.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.4%
Weekday Posts
42.6%
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 189 retweets (6% 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 10,000 followersThe audience primarily consists of football fans interested in VfL Wolfsburg's performance and events, with a global reach due to the international nature of the account.
Average
Audience Quality
28.6%
Suspicion Index
31.7%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.7%
Empty Bio
32.4%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
63.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
20.6%
<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.
20,992,493
Total Potential Reach
27
Median Follower Reach
125
75th Percentile Reach
4.0%
>1K followers
0.5%
>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).
45.1%
Creators
4,506 accounts
22.5%
Consumers
2,254 accounts
32.4%
Dormant
3,240 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):
40
Verified Followers
0.4% of total
687
Protected Accounts
6.87% of total
3 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 | 14,096,870 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheRealPitso | 1,230,472 | Football Coach | Football, Coaching, Awards |
| @ZachBoychuk | 826,944 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Moreno | 429,943 | Influencer | Business, Manager, Serious |
| @SarahSpain | 265,831 | Sports Commentator | Sports, Chicago, Cornell |
| @JimmyConrad | 205,375 | Soccer Analyst | Soccer, Gaming, Streaming |
| @KhalidMans | 183,398 | Comedian | Comedy, Acting, Writing |
| @101greatgoals | 183,136 | Sports Media | Football, Highlights, Memes |
| @Sorare | 173,610 | Fantasy Football | football, digital cards, community |
| @EgyProf | 156,555 | Sports Journalist | Sports, Egyptian athletes, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,729
Followers With Bio
4,271
Followers Without Bio
57.29%
% With Bio
42.71%
% 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 analyzed517,796
Combined Engagement
464,502
Total Likes
53,294
Total Retweets
103,559
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
😬😬😬😬 https://t.co/dRLIVXZDul
Streets have spoken #UCL 😬😬 https://t.co/SS958UN98n
Six. https://t.co/YDmWv9n29t
Curious result that...@UTDTrey https://t.co/B6nbgiIf4H
Admin taking Twitter risks the day before we play Bayern: https://t.co/wEcuAilf3T
Key Insights & Takeaways
The use of emojis and short, impactful phrases like 'Six.' suggests a focus on creating attention-grabbing and emotionally resonant content. High engagement with specific tweets, such as those related to the UCL, indicates a strong interest in major matches and outcomes. The account's verified status and privacy policy link suggest a professional and transparent approach to content sharing.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,566
- + 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 @VfLWolfsburg_EN reveals an well-established Twitter presence with 77,566 followers. The account demonstrates a content-creator strategy, averaging 199.8 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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