857,366
Followers
311
Following
4,307
Tweets
1,254.4
Avg Engagement
1,189
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @samclaflin'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:2009-09-01
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,195
- Avg Likes per Tweet:658.9
- Avg Retweets per Tweet:595.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,195 tweetsHis tweets receive high engagement, with an average of 22k likes and 8k retweets, showing strong audience interaction. The content resonates deeply with followers, encouraging emotional responses.
658.9
Avg Likes/Tweet
595.5
Avg Retweets/Tweet
2,105,271
Total Likes
1,902,505
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
125
Median Likes
80
Median Retweets
1,031
75th Percentile
189,409
Top Tweet
1.46
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
43.1%
Original
36.5%
Replies
19.8%
Retweets
0.6%
Quotes
0.0%
Threads
1.5%
With Media
31.8%
With Links
34.4%
With #Tags
67.3%
With @Mentions
5.7%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.85
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,195 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 632 retweets (20% 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 3,195 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 appears to be fans and close friends, given the personal and heartfelt nature of his tweets. The audience seems to value emotional authenticity and personal stories.
Average
Audience Quality
20.3%
Suspicion Index
24.6%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.1%
Empty Bio
22.8%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
16.1%
<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.
50,156,967
Total Potential Reach
34
Median Follower Reach
189
75th Percentile Reach
6.5%
>1K followers
0.5%
>10K followers
0.1%
>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).
61.5%
Creators
30,734 accounts
15.8%
Consumers
7,891 accounts
22.8%
Dormant
11,375 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):
304
Verified Followers
0.3% of total
19,433
Protected Accounts
19.43% of total
6 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 | 14,105,419 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Lord_Sugar | 5,204,466 | Entrepreneur | business, entrepreneurship, technology |
| @InStyle | 4,261,059 | Fashion influencer | Fashion, Beauty, Lifestyle |
| @PrimeVideo | 3,247,951 | Streaming Service | Horror, Movies, Streaming |
| @NetflixTudum | 2,220,455 | Film Promoter | Animation, Romance, Horror |
| @latelateshow | 1,550,208 | Entertainment | Entertainment, Comedy, Music |
| @ParisJackson | 1,214,296 | Musician | Music, Recorders, WME & IMG |
| @funder | 1,106,369 | Journalist | Politics, Journalism, Music |
| @veramagalhaes | 930,014 | - | - |
| @ThePeakyBlinder | 917,963 | TV Show | crime, drama, BBC |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,968
Followers With Bio
34,032
Followers Without Bio
65.97%
% With Bio
34.03%
% 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 3,195 analyzed541,014
Combined Engagement
49,632
Total Likes
491,382
Total Retweets
108,203
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @netflix: To be silent is to be complicit. Black lives matter. We have a platform, and we have a duty to our Black members, employees…
RT @AdamSandler: Happy loves you all! Thanks for everything! https://t.co/p1aY9JcFWh
RT @jonnohopkins: this is the most British thing I’ve seen all week https://t.co/woPxspnlKw
RT @JesseLingard: No mum, I’m not coming home. It’s... https://t.co/VdFHVoEfTI
I’ll carry you everywhere. Always. Lots of love to you Lynn. Bless you. RIP x https://t.co/hPiVjzFxKN
Key Insights & Takeaways
His tweets often focus on personal relationships and memories, indicating a deep emotional connection with his audience. He frequently shares tributes and condolences, suggesting a close-knit circle of friends and family. His content is highly engaging, likely due to its sincerity and emotional depth.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 857,366
- + 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 @samclaflin reveals an exceptionally influential Twitter presence with 857,366 followers. The account demonstrates a content-creator strategy, averaging 1,254.4 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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