Adrian Bevington
UK Managing Director PROProfil football agency. Registration Number: IMS006532
14,301
Followers
1,488
Following
9,218
Tweets
25.0
Avg Engagement
84
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ABevington11'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:2012-08-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:22.9
- Avg Retweets per Tweet:2.1
- Followers Analyzed:14,404
Engagement Analysis
Based on 500 tweetsThe account has an average of 318 likes and 16 retweets per tweet, indicating moderate engagement with its content.
22.9
Avg Likes/Tweet
2.1
Avg Retweets/Tweet
11,440
Total Likes
1,057
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
18
75th Percentile
1,112
Top Tweet
1.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
46.8%
Original
29.4%
Replies
3.4%
Retweets
20.4%
Quotes
0.0%
Threads
0.2%
With Media
44.2%
With Links
11.0%
With #Tags
88.6%
With @Mentions
26.8%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
6.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.2%
Weekday Posts
34.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 17 retweets (3% 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 500 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 14,404 followersThe audience appears to be football fans and industry professionals interested in player representation and team management.
Good
Audience Quality
18.3%
Suspicion Index
19.3%
Low-Quality %
233
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.8%
Empty Bio
10.0%
<10 Tweets
25.7%
Mass Following (>2K)
0.0%
New (<90 days)
28.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.2%
No URL
5.9%
<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.
129,849,671
Total Potential Reach
233
Median Follower Reach
770
75th Percentile Reach
21.4%
>1K followers
5.4%
>10K followers
2.1%
>50K followers
1.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.1%
Creators
11,249 accounts
11.9%
Consumers
1,718 accounts
10.0%
Dormant
1,437 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):
753
Verified Followers
5.23% of total
1,730
Protected Accounts
12.01% of total
11 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 | 14,105,715 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GaryLineker | 8,929,005 | Football Pundit | BBC Sport, Walkers, @goalhangerfilms |
| @GNev2 | 5,502,811 | Sports Commentator | Football, Analysis, Motivation |
| @themichaelowen | 3,791,505 | Footballer | football, sports, pundit |
| @Variety | 2,909,821 | Entertainment industry | Entertainment, Business, Variety |
| @UEFA | 2,329,337 | Football | Football, EqualGame, Official |
| @talkSPORT | 2,190,952 | Sports broadcaster | Sports, Radio, Station |
| @Carra23 | 2,190,858 | Football Pundit | Football, TV punditry, Charity |
| @chris_kammy | 1,899,127 | Football pundit | Football, TV, Singing |
| @David_Ornstein | 1,883,066 | Football Correspondent | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,676
Followers With Bio
4,728
Followers Without Bio
67.18%
% With Bio
32.82%
% 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 500 analyzed3,120
Combined Engagement
2,633
Total Likes
487
Total Retweets
624
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
Love this - class @Everton FC. 🇺🇦 https://t.co/DdZhP6rt2a
Outstanding performance and incredible atmosphere at Elland Road today. Huge credit to Jesse Marsch and his staff for setting his @LUFC TEAM up so effectively. Fantastic attitude and energy. Thanks @andrearadri for your hospitality. https://t.co/tiJ6eociAc
I hope Gareth Southgate stays as @England manager. He’s restored pride on the pitch, with class in how he and the players conduct themselves off it.
RT @AberdeenFC: We are very pleased to this morning confirm Jim Goodwin as our new manager. 🔴 Welcome to Aberdeen, Jim!
Worst omission from an @England WC squad. Tony Morley 1982. Possibly best in form left winger in Europe at the time after winning League and European Cup with @AVFCOfficial
Key Insights & Takeaways
The account frequently comments on football matches and player performances, showing a deep interest in the sport. It highlights specific players and managers, suggesting a focus on individual contributions and leadership. The content often includes personal opinions and historical references, indicating a blend of analysis and fandom.
Strengths
- + Established follower base of 14,301
- + 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 @ABevington11 reveals an growing Twitter presence with 14,301 followers. The account demonstrates a content-creator strategy, averaging 25.0 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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