Wes Morgan
Wes Morgan, proud Leicester City skipper. commercial enquiries contact [email protected]
111,728
Followers
223
Following
815
Tweets
406.1
Avg Engagement
236
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Wes5L1nk'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:2014-01-07
- Verification:No
- Location:England, United Kingdom
Data Summary
- Tweets Analyzed:787
- Avg Likes per Tweet:229.1
- Avg Retweets per Tweet:177.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 787 tweetsHis tweets receive high engagement, with an average of 8,532 likes and 3,368 retweets per post, indicating strong fan interaction.
229.1
Avg Likes/Tweet
177.0
Avg Retweets/Tweet
180,309
Total Likes
139,299
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
18
75th Percentile
90,968
Top Tweet
3.63
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
31.9%
Original
36.2%
Replies
27.4%
Retweets
4.4%
Quotes
0.0%
Threads
0.3%
With Media
43.5%
With Links
47.3%
With #Tags
84.2%
With @Mentions
24.7%
With Emojis
103
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.5%
Weekday Posts
15.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 787 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 216 retweets (27% 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 787 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 primarily consists of Leicester City fans and football enthusiasts who appreciate his insights and commentary.
Average
Audience Quality
29.6%
Suspicion Index
30.1%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.9%
Empty Bio
31.0%
<10 Tweets
18.7%
Mass Following (>2K)
0.0%
New (<90 days)
64.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
19.4%
<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.
22,209,417
Total Potential Reach
35
Median Follower Reach
153
75th Percentile Reach
4.2%
>1K followers
0.7%
>10K followers
0.3%
>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).
44.7%
Creators
4,468 accounts
24.3%
Consumers
2,428 accounts
31.0%
Dormant
3,104 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):
33
Verified Followers
0.33% of total
795
Protected Accounts
7.95% of total
4 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 | 14,093,722 | Wrestler | Wrestling, Motivation, Self-promotion |
| @bajri_2 | 808,340 | Student | Politics, Ambition, Nationalism |
| @martin_compston | 543,568 | Actor | acting, blagging, football |
| @Moreno | 431,006 | Influencer | Business, Manager, Serious |
| @5liveSport | 416,121 | Sports Broadcasting | sport, coverage, analysis |
| @samwarburton_ | 416,092 | - | - |
| @JakeBugg | 395,312 | Musician | Music, Album, Pre-order |
| @Vannieuwkerke | 335,338 | TV Host | sports, TV, life |
| @romankemp | 325,391 | Radio Host | Music, Mental Health, Merchandise |
| @Wesley_Fofana3 | 180,988 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,907
Followers With Bio
4,093
Followers Without Bio
59.07%
% With Bio
40.93%
% 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 787 analyzed171,577
Combined Engagement
54,528
Total Likes
117,049
Total Retweets
34,315
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @vardy7: .... https://t.co/nnwmRyOg6y
The moment Chelsea equalise and you lose control #champions #WeDidIt 🏆 https://t.co/MPUFexxeDy
https://t.co/R5CEM1TbAi
@EASPORTSFIFA taking the absolute p*ss with these stats!??? 😅 https://t.co/3cgzP3Nb3D
Well this could be the best contract I've ever signed @CaptainMorganEU 😜😅 https://t.co/1wbjIKvDTf
Key Insights & Takeaways
He frequently shares match highlights and emotional moments from games, which resonate well with his audience. He critiques sports statistics and engages in discussions about the accuracy of data presented by platforms like EA Sports. His use of hashtags and links to videos enhances the visibility and shareability of his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 111,728
- + 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 @Wes5L1nk reveals an well-established Twitter presence with 111,728 followers. The account demonstrates a conversation-first approach, averaging 406.1 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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