Niamh Charles
⚽ @chelseaFCW & @lionesses 🦁🏴 | 👟 @adidasuk athlete | 📲 @TripleSSports
26,327
Followers
320
Following
489
Tweets
546.6
Avg Engagement
102
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @niamhcharles7'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:2015-10-24
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:474
- Avg Likes per Tweet:222.0
- Avg Retweets per Tweet:324.7
- Followers Analyzed:23,199
Engagement Analysis
Based on 474 tweetsThe user's tweets receive a high number of likes and retweets on average, indicating strong audience interaction. Their content is well-received and shared by followers.
222.0
Avg Likes/Tweet
324.7
Avg Retweets/Tweet
105,224
Total Likes
153,885
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
160
75th Percentile
69,345
Top Tweet
20.76
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
25.7%
Original
37.6%
Replies
29.1%
Retweets
7.6%
Quotes
0.0%
Threads
0.0%
With Media
52.3%
With Links
23.2%
With #Tags
81.9%
With @Mentions
79.3%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.46
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 474 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 138 retweets (29% 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 474 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 23,199 followersThe audience appears to be sports enthusiasts, particularly fans of Chelsea FCW and the Lionesses. They are likely interested in sports news, team updates, and athlete profiles.
Average
Audience Quality
24.0%
Suspicion Index
21.9%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
19.3%
<10 Tweets
20.8%
Mass Following (>2K)
0.0%
New (<90 days)
53.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
11.3%
<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.
88,745,636
Total Potential Reach
69
Median Follower Reach
271
75th Percentile Reach
8.1%
>1K followers
1.0%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.7%
Creators
13,860 accounts
21.0%
Consumers
4,873 accounts
19.3%
Dormant
4,466 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):
216
Verified Followers
0.93% of total
2,457
Protected Accounts
10.59% 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 |
|---|---|---|---|
| @LFC | 23,595,694 | Sports Team | Football, Anti-hate, Unity |
| @JohnCena | 14,105,729 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BBCSport | 10,746,826 | Sports News | Sports, News, Updates |
| @England | 6,053,215 | Sports Marketing | Football, National Teams, Contact Us |
| @LFC_Arabic | 4,797,250 | Football Club | Football, Liverpool, Arabic |
| @EnglandFootball | 2,298,085 | Football Association | grassroots, coaching, support |
| @WeAreMessi | 1,091,565 | Footballer | Football, Barcelona, GOAT |
| @FIFAWWC | 964,285 | Sports Media | Soccer, Women's sports, FIFA |
| @thisisanfield | 930,104 | Sports News | Liverpool FC, News, Analysis |
| @guardian_sport | 906,528 | Sports News | news, comment, video |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,680
Followers With Bio
7,519
Followers Without Bio
67.59%
% With Bio
32.41%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 474 analyzed126,034
Combined Engagement
0
Total Likes
126,034
Total Retweets
25,207
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @LFC: 🔴🔴 ALLEZ, ALLEZ, ALLEZ 🔴🔴 https://t.co/r8TRL9vvTC
RT @serenawilliams: There are so many reasons to quit, but even more to keep playing. Even if you don’t go pro, sports can teach you so muc…
RT @SBSNews: Watch NZ Prime Minister Jacinda Ardern pick apart this reporter's question during a joint press conference with Finnish PM San…
RT @England: It's all over – we are the #FIFAU17WC champions! 🏆 https://t.co/lS8Cjr6cjn
RT @ChelseaFC: It's that time of the season. 🔊👕 Introducing our new 2021/22 @NikeFootball home kit. Inspired by the 60s, but as fresh as…
Key Insights & Takeaways
The user frequently shares positive and celebratory messages about team achievements, which likely drives engagement. They use emojis and hashtags to enhance the emotional tone and reach of their tweets. Their content is focused on promoting their affiliation with sports teams and brands.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 26,327
- + 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 @niamhcharles7 reveals an well-established Twitter presence with 26,327 followers. The account demonstrates a conversation-first approach, averaging 546.6 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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