Ben Amos
Wigan Athletic Goalkeeper @omnisports_ @theonegloveco
175,289
Followers
939
Following
1,140
Tweets
109.0
Avg Engagement
565
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Amos_40'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:2012-12-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,104
- Avg Likes per Tweet:21.2
- Avg Retweets per Tweet:87.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,104 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
21.2
Avg Likes/Tweet
87.8
Avg Retweets/Tweet
23,425
Total Likes
96,898
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
33
75th Percentile
27,608
Top Tweet
0.62
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
46.5%
Original
43.1%
Replies
9.9%
Retweets
0.5%
Quotes
0.0%
Threads
0.5%
With Media
21.6%
With Links
37.0%
With #Tags
67.4%
With @Mentions
26.3%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.93
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,104 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 109 retweets (10% 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 1,104 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 followersHis audience primarily consists of football fans, especially those interested in Wigan Athletic and other football clubs he interacts with.
Average
Audience Quality
27.2%
Suspicion Index
33.1%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.7%
Empty Bio
30.4%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
55.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
16.6%
<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.
55,596,455
Total Potential Reach
43
Median Follower Reach
149
75th Percentile Reach
3.6%
>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).
41.0%
Creators
20,477 accounts
28.7%
Consumers
14,346 accounts
30.4%
Dormant
15,177 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):
96
Verified Followers
0.1% of total
9,397
Protected Accounts
9.3% of total
9 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 |
|---|---|---|---|
| @Louis_Tomlinson | 35,676,289 | Singer | Music, Fans, Gratitude |
| @cometaorg | 7,802,617 | - | - |
| @GNev2 | 5,504,774 | Sports Commentator | Football, Analysis, Motivation |
| @Variety | 2,911,395 | Entertainment industry | Entertainment, Business, Variety |
| @AnderHerrera | 2,836,738 | Footballer | Football, Paris Saint-Germain, Manchester United |
| @LukeShaw23 | 2,550,821 | Footballer | Football, Adidas, Manchester United |
| @Karabo_Mokgoko | 2,349,518 | Digital Entrepreneur | Digital Entrepreneur, Trendsetter, Globetrotter |
| @Tyson_Fury | 2,249,786 | Boxer | Boxing, Fitness, Motivation |
| @JamesArthur23 | 2,057,946 | Singer | Music, Singer, Songwriter |
| @6BillionPeople | 2,033,434 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,703
Followers With Bio
52,295
Followers Without Bio
48.22%
% With Bio
51.78%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,104 analyzed64,182
Combined Engagement
0
Total Likes
64,182
Total Retweets
12,836
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ManUtd: Welcome to Manchester United, @JuanMata10. RETWEET to show your support. #mufcmata http://t.co/QSpgjQ2n4w
RT @ManUtd: We're delighted to welcome midfielder @AnderHerrera8 to the #mufc family. Full story: http://t.co/nx0bfxt8R4 http://t.co/DicXTt…
RT @carras16: Welcome @anderherrera8 and @LukeShaw3 .... You will love it at this great club. See you soon boys 👍
RT @rioferdy5: Here we are! http://t.co/As27l2MhTX
RT @AWitselOfficiel: Don't worry, mine is staying #nohaircut
Key Insights & Takeaways
He frequently collaborates with football clubs, which boosts his visibility and engagement. His content often includes personal experiences and emotions, which resonate with his audience. He uses humor and nostalgia to connect with fans, making his tweets more relatable and shareable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 175,289
- + 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 @Amos_40 reveals an well-established Twitter presence with 175,289 followers. The account demonstrates a content-creator strategy, averaging 109.0 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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