Siobhan ⚽️👐🏼
Former @Lionesses & @ManUtdWomen GK 🧤| Mum 👧🏼👶🏼 | Sports Broadcaster 🎙️| MSc Sports Directorship | Media & commercial enquiries pls contact- @mellychaps
55.777
Followers
631
Following
12.566
Tweets
265,9
Avg Engagement
312
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sio_Chamberlain'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:2009-08-27
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3.201
- Avg Likes per Tweet:127,9
- Avg Retweets per Tweet:138,0
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.201 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across her posts, suggesting a loyal and active follower base.
127,9
Avg Likes/Tweet
138,0
Avg Retweets/Tweet
409.338
Total Likes
441.747
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
5
Median Retweets
120
75th Percentile
101.059
Top Tweet
4,77
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
47,7%
Original
16,7%
Replies
14,7%
Retweets
20,9%
Quotes
0,0%
Threads
1,3%
With Media
71,0%
With Links
46,1%
With #Tags
70,3%
With @Mentions
85,1%
With Emojis
121
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,35
Reply/Original Ratio
1,42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66,3%
Weekday Posts
33,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.201 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 471 retweets (15% 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 3.201 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 10.000 followersHer audience includes football fans, especially those interested in women's football and Manchester United. It also includes media professionals and sports enthusiasts.
Below Average
Audience Quality
37,5%
Suspicion Index
100,0%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100,0%
Empty Bio
100,0%
<10 Tweets
0,0%
Mass Following (>2K)
0,0%
New (<90 days)
0,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,8%
No URL
100,0%
<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.
43.656.581
Total Potential Reach
79
Median Follower Reach
297
75th Percentile Reach
9,6%
>1K followers
1,3%
>10K followers
0,5%
>50K followers
0,3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0,0%
Creators
0 accounts
0,0%
Consumers
0 accounts
100,0%
Dormant
10.000 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):
0
Verified Followers
0.0% of total
977
Protected Accounts
9.77% of total
5 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 |
|---|---|---|---|
| @D_DeGea | 14.414.507 | Goalkeeper | Football, Manchester United, Goalkeeping |
| @JohnCena | 14.090.424 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GuillemBalague | 1.062.156 | Football Journalist | Football, Journalism, Broadcasting |
| @Pschmeichel1 | 1.003.987 | Footballer | Football, Ambassador, Autobiography |
| @GrantWahl | 839.547 | Sports Journalist | Soccer, Newsletter, Sports |
| @laura_woodsy | 750.706 | Sports Broadcaster | Sports, TV, Radio |
| @SpencerOwen | 629.285 | Football Presenter | Football, Esports, Presenter |
| @MicahRichards | 576.137 | Pundit | Football, punditry, writing |
| @itvfootball | 492.548 | Sports Media | Football, Instagram, YouTube |
| @Moreno | 429.333 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.976
Followers With Bio
3.024
Followers Without Bio
69.76%
% With Bio
30.24%
% 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 3.201 analyzed300.358
Combined Engagement
0
Total Likes
300.358
Total Retweets
60.072
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @MarcusRashford: An Open Letter to all MPs in Parliament... #maketheUturn Please retweet and tag your local MPs https://t.co/GXuUxFJdcv
RT @England: Our three lions. ❤️ https://t.co/FQl4zWH4rR
RT @ManUtd: THIS. FOOTBALL. CLUB. #MUFC ❤️ https://t.co/QUNAgqxXTe
RT @stevesnr50: A very important message it make you think.🤔🤔 https://t.co/O0Jxstxn0s
RT @ProfWoodward: For those who still don’t get it https://t.co/vOdUhDWO99
Key Insights & Takeaways
Her content often highlights football-related topics and personal milestones. She maintains a balance between professional and personal updates. Her audience is primarily interested in sports and media-related news.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55.777
- + 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 @Sio_Chamberlain reveals an well-established Twitter presence with 55.777 followers. The account demonstrates a content-creator strategy, averaging 265,9 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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