Scott Sinclair
Official Scott Sinclair Twitter.
234,557
Followers
47
Following
652
Tweets
1,034.8
Avg Engagement
674
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Scotty_Sinclair'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:2010-05-21
- Verification:No
- Location:England, United Kingdom
Data Summary
- Tweets Analyzed:634
- Avg Likes per Tweet:927.6
- Avg Retweets per Tweet:107.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 634 tweetsThe account consistently receives high engagement, with an average of 16,662 likes and 2,658 retweets per tweet. This indicates strong fan support and interaction.
927.6
Avg Likes/Tweet
107.2
Avg Retweets/Tweet
588,090
Total Likes
67,967
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
401
75th Percentile
26,938
Top Tweet
4.41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.0%
Original
23.7%
Replies
5.7%
Retweets
0.6%
Quotes
0.0%
Threads
0.6%
With Media
29.5%
With Links
18.3%
With #Tags
48.3%
With @Mentions
11.2%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.9%
Weekday Posts
40.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 634 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 36 retweets (6% 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 634 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 followersThe audience appears to be primarily fans of Scott Sinclair, showing interest in his career and personal updates. The engagement suggests a dedicated and active fan base.
Average
Audience Quality
27.6%
Suspicion Index
39.3%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.4%
Empty Bio
36.0%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
53.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
24.2%
<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.
13,229,177
Total Potential Reach
21
Median Follower Reach
109
75th Percentile Reach
3.3%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
40.6%
Creators
20,276 accounts
23.5%
Consumers
11,748 accounts
36.0%
Dormant
17,976 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):
64
Verified Followers
0.06% of total
11,322
Protected Accounts
11.21% 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 |
|---|---|---|---|
| @6BillionPeople | 2,034,517 | - | - |
| @chris_kammy | 1,898,872 | Football pundit | Football, TV, Singing |
| @aliececom | 590,385 | Sports Commentator | Sports, Communication, Contact |
| @IamMzilikazi | 546,918 | Musician | Pan-African music, Album, Rise |
| @georgegalloway | 459,109 | Politician | Politics, Media, Activism |
| @wefollowbackd | 457,081 | Football Blogger | Football, News, Sport |
| @DaleAThomson | 378,377 | Music Producer | Music, Clothing, Love |
| @No1shaygiven | 361,549 | Coach | Football, Charity, Coaching |
| @67Kelechi | 349,107 | Footballer | Football, Nigeria, God's grace |
| @Chelsea_FL | 315,353 | Sports News | Football, Chelsea, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
40,433
Followers With Bio
60,561
Followers Without Bio
40.04%
% With Bio
59.96%
% 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 634 analyzed123,173
Combined Engagement
105,085
Total Likes
18,088
Total Retweets
24,635
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
💚💚💚 https://t.co/la2W6adL1n
...just a shame to end the game and seeing the ignorance of people no matter what team u support there is just no need for racism!
https://t.co/uRcMZ1ft4L
“Oh I’ve missed this feeling” unbelievable reception from the fans, I will continue to keep fighting for this shirt💚 https://t.co/lkWHtQJpkn
Absolutely disgusted yet again, how can a person use a child to promote racism, it's beyond me https://t.co/45LQMUwuXz
Key Insights & Takeaways
The top tweets include links to content that received significant fan reception, suggesting a focus on fan engagement and emotional connection. The use of emojis and color codes in tweets indicates an effort to create a visually appealing and emotionally resonant brand identity. The account's content strategy emphasizes fan interaction and maintaining a connection with supporters through shared experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 234,557
- + 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 @Scotty_Sinclair reveals an exceptionally influential Twitter presence with 234,557 followers. The account demonstrates a content-creator strategy, averaging 1,034.8 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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