billy sharp
im just that FAT LAD FROM SHEFFIELD
211,924
Followers
1,251
Following
12,278
Tweets
402.7
Avg Engagement
429
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @billysharp10'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:2011-05-16
- Verification:No
- Location:sheffield
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:199.5
- Avg Retweets per Tweet:203.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,230 tweetsHis tweets receive high engagement, with an average of 15,822 likes and 797 retweets, indicating a strong and active audience. His content is both personal and shareable, driving consistent interaction.
199.5
Avg Likes/Tweet
203.2
Avg Retweets/Tweet
644,406
Total Likes
656,180
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
126
75th Percentile
114,797
Top Tweet
1.9
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
7.8%
Original
20.8%
Replies
60.0%
Retweets
11.3%
Quotes
0.0%
Threads
1.2%
With Media
44.7%
With Links
14.4%
With #Tags
86.4%
With @Mentions
64.8%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.66
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 1,939 retweets (60% 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 3,230 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 followers likely include sports fans, especially those interested in football, and people who enjoy casual, authentic content. They appreciate his personality and real-life connections.
Average
Audience Quality
31.3%
Suspicion Index
43.5%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.9%
Empty Bio
43.0%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
33.1%
<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.
52,627,944
Total Potential Reach
14
Median Follower Reach
117
75th Percentile Reach
4.0%
>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).
38.9%
Creators
19,470 accounts
18.0%
Consumers
9,022 accounts
43.0%
Dormant
21,508 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):
120
Verified Followers
0.12% of total
7,719
Protected Accounts
7.64% of total
7 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 |
|---|---|---|---|
| @WayneRooney | 17,191,538 | Footballer | Football, Derby County, Charity |
| @Ahmed1Afify | 3,119,806 | Sports Analyst | Sports, Football, TV |
| @Tyson_Fury | 2,249,679 | Boxer | Boxing, Fitness, Motivation |
| @HarryMaguire93 | 2,162,011 | Footballer | Football, England, Puma |
| @6BillionPeople | 2,034,022 | - | - |
| @foleyispod | 1,975,320 | - | - |
| @SouthamptonFC | 1,604,682 | Football Club | Football, News, Updates |
| @Sporf | 1,386,892 | Sports Media | Sport, Conversation, Social Chain Group |
| @LILBTHEBASEDGOD | 1,247,765 | Rapper | Music, Writing, Film |
| @Saudi49er | 1,139,208 | Entrepreneur | faith, trust, gratitude |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,988
Followers With Bio
61,010
Followers Without Bio
39.59%
% With Bio
60.41%
% 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 3,230 analyzed398,348
Combined Engagement
75,787
Total Likes
322,561
Total Retweets
79,670
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @FIFAWorldCup: 😘🏆 https://t.co/mBx9zY9uAS
RT @FIFAWorldCup: Iconic. https://t.co/4HNm6zuzgD
https://t.co/OrIOupGuhI
RT @FCBarcelona: The best there ever was. The best there ever will be. https://t.co/UEZXEYNJR3
RT @Lionesses: 🏆 OUR ENGLAND. OUR CHAMPIONS. 🏆 https://t.co/gf4BHUd5fW
Key Insights & Takeaways
He maintains a strong personal brand through consistent, authentic content. His engagement suggests a loyal and active audience that values his voice. He leverages personal stories and interactions with celebrities to boost visibility and connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 211,924
- + 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 @billysharp10 reveals an well-established Twitter presence with 211,924 followers. The account demonstrates a conversation-first approach, averaging 402.7 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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