shane ferguson
Footballer for Rotherham United & Northern Ireland International.
49,484
Followers
386
Following
473
Tweets
189.9
Avg Engagement
298
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @shane_fergie'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:2011-05-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:470
- Avg Likes per Tweet:54.9
- Avg Retweets per Tweet:135.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 470 tweetsHis tweets receive a high number of likes and retweets, indicating strong community support and interest in his career and family life.
54.9
Avg Likes/Tweet
135.0
Avg Retweets/Tweet
25,809
Total Likes
63,461
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
31
75th Percentile
51,000
Top Tweet
3.84
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
47.9%
Original
38.7%
Replies
10.9%
Retweets
2.6%
Quotes
0.0%
Threads
0.0%
With Media
13.8%
With Links
8.3%
With #Tags
71.3%
With @Mentions
12.6%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.81
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 470 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 51 retweets (11% 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 470 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 followersHis audience includes football fans, fellow athletes, and family supporters who engage with his personal and career-related content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
100.0%
<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.
26,147,932
Total Potential Reach
60
Median Follower Reach
235
75th Percentile Reach
6.6%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,059
Protected Accounts
10.59% of total
8 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 | 14,098,526 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Tyson_Fury | 2,246,755 | Boxer | Boxing, Fitness, Motivation |
| @Tim_Cahill | 734,515 | Athlete | Football, Education, World Cup |
| @FourFourTwo | 508,052 | Football Magazine | Football, Magazine, World |
| @PopWrapped | 495,744 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @KerryKatona7 | 465,521 | Influencer | Family, Entertainment, Personalized Videos |
| @djkingassassin | 464,472 | DJ | Music, Club, Producer |
| @Daminous_Purity | 351,103 | Minister | WWE, NFL, FIFA |
| @pheltzcomics | 295,199 | Comic Artist | Fantasy, Reality, Art |
| @ChrisDrake87 | 287,707 | Talent Agent | Reality TV, Entertainment, Talent Agency |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,232
Followers With Bio
4,768
Followers Without Bio
52.32%
% With Bio
47.68%
% 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 470 analyzed60,383
Combined Engagement
5,667
Total Likes
54,716
Total Retweets
12,077
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @NUFC: We'll never forget you, Cheick. ⚫️⚪️ https://t.co/c8aO6EyW5w
RT @NorthernIreland: The dream continues!!! We are in the round of 16!!! 👏🏼 🎉 #DareToDream #GAWA https://t.co/XpvRWDS3R1
Daddy’s little girl ❤️ Betsy Mae Ferguson 😍. Born 25/09/20 can’t describe how proud I am of Grace she has been unbelievable through it all. Best day of my life. My two girls ❤️❤️ https://t.co/z4ufzWmpsJ
Last night was a proud moment for me and my family, it meant a lot to me to get my 50th cap. Thanks everyone for all of the messages 💚 https://t.co/G3c06yiI8d
Thanks to everyone @MillwallFC for the past 6yrs. Loved every second at the club so many great memories that I will never forget. Staff, players and fans, thank u for welcoming me to the club and for the messages since I have left, it means a lot to me and my family 🦁💙 https://t.
Key Insights & Takeaways
He frequently highlights family moments, showing a personal side to his public persona. He celebrates career achievements, such as his 50th cap, which resonates with his followers. He expresses gratitude towards fans and former clubs, fostering a sense of loyalty and connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 49,484
- + 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 @shane_fergie reveals an well-established Twitter presence with 49,484 followers. The account demonstrates a content-creator strategy, averaging 189.9 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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