Christian Fuchs
Proud father! @CharlotteFC ⚽️ @FoxSoccerAcadNY 💀 @NoFuchsGivenLtd 🎮 @nfg_esports 🏟 @hudsonsportscom ✉️ Brand enquiries [email protected]
180,510
Followers
83,909
Following
3,943
Tweets
365.7
Avg Engagement
476
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FuchsOfficial'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:2014-01-28
- Verification:No
- Location:Leicester, England
Data Summary
- Tweets Analyzed:3,182
- Avg Likes per Tweet:246.5
- Avg Retweets per Tweet:119.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,182 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The top tweets highlight major sports victories, which likely drive significant engagement.
246.5
Avg Likes/Tweet
119.2
Avg Retweets/Tweet
784,297
Total Likes
379,359
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
2
Median Retweets
88
75th Percentile
368,010
Top Tweet
2.03
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
28.9%
Original
40.1%
Replies
25.5%
Retweets
5.5%
Quotes
0.0%
Threads
0.3%
With Media
44.3%
With Links
37.8%
With #Tags
77.0%
With @Mentions
45.6%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.39
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.2%
Weekday Posts
36.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,182 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 812 retweets (26% 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 3,182 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 audience is likely sports enthusiasts, particularly fans of football and esports, as well as potential brand collaborators and business partners. The audience appears to be engaged and interested in sports achievements and promotions.
Average
Audience Quality
30.3%
Suspicion Index
31.3%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.8%
Empty Bio
33.9%
<10 Tweets
18.7%
Mass Following (>2K)
0.0%
New (<90 days)
64.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
22.8%
<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.
130,816,395
Total Potential Reach
31
Median Follower Reach
157
75th Percentile Reach
5.6%
>1K followers
1.2%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.5%
Creators
21,754 accounts
22.6%
Consumers
11,299 accounts
33.9%
Dormant
16,947 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):
411
Verified Followers
0.41% of total
6,544
Protected Accounts
6.48% 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 |
|---|---|---|---|
| @VancityReynolds | 21,367,624 | Actor | gin, mobile, soccer |
| @elissakh | 15,740,086 | Singer | Music, Women's Rights, Fans |
| @JohnCena | 14,100,331 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CH14_ | 8,808,053 | Soccer Player | Soccer, Faith, Blessed |
| @goal | 8,214,354 | Football Analyst | football, news, insight |
| @wyclef | 3,731,065 | Musician | music, media, management |
| @MLS | 3,344,874 | Sports League | Soccer, Stadiums, Stars |
| @Miguel_layun | 3,243,696 | Futbolista | Futbol, Gaming, Marketing |
| @garyvee | 3,166,172 | Entrepreneur | Family, CEO, Investor |
| @luisitorey | 2,860,689 | Comedian | Un Kingdom, historia, fotos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,977
Followers With Bio
52,022
Followers Without Bio
48.49%
% With Bio
51.51%
% 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 3,182 analyzed534,664
Combined Engagement
267,220
Total Likes
267,444
Total Retweets
106,933
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
CHAMPIONS!!!! https://t.co/pFtvo5XUNx
RT @LCFC: 💙 https://t.co/1omGNWWTJd
Thank you ❤️ #theboss #lcfc https://t.co/7qLuveBl4s
🏆 Premier League Champions 🏅 FA Cup Champions What a group! https://t.co/uRlJXDcqKP
100k follower give away! RT to win a one-off Community Shield match shirt. I'll choose winner in next 48 hrs. ⚽️👍 https://t.co/oCGmIvtyYH
Key Insights & Takeaways
The account is heavily focused on sports achievements and brand partnerships. It leverages major sports events and victories to boost engagement. The use of multiple handles suggests a broad reach across different sports and brands.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 180,510
- + High community engagement through conversations
- + 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 @FuchsOfficial reveals an well-established Twitter presence with 180,510 followers. The account demonstrates a conversation-first approach, averaging 365.7 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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