KAREN BARDSLEY
Ret. 2012 Olympian & Professional footballer for @ManCity, @England & @TeamGB - Advisor & Sport Broadcaster 📬 https://t.co/w0GFvJ4M01
59,484
Followers
3,535
Following
11,557
Tweets
221.4
Avg Engagement
344
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @klbardsley'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:2008-09-22
- Verification:No
- Location:USA / UK
Data Summary
- Tweets Analyzed:3,140
- Avg Likes per Tweet:30.6
- Avg Retweets per Tweet:190.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,140 tweetsKlbardsley's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content resonates emotionally, encouraging both engagement and reflection.
30.6
Avg Likes/Tweet
190.8
Avg Retweets/Tweet
96,080
Total Likes
599,176
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
56
75th Percentile
72,764
Top Tweet
3.72
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
19.8%
Original
17.5%
Replies
46.6%
Retweets
16.0%
Quotes
0.0%
Threads
0.8%
With Media
69.5%
With Links
38.9%
With #Tags
82.2%
With @Mentions
46.1%
With Emojis
111
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.88
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,140 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 1,463 retweets (47% 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 3,140 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 followersHis audience includes sports fans, former athletes, and individuals interested in career transitions in sports. They are likely drawn to his personal stories and professional advice.
Average
Audience Quality
28.0%
Suspicion Index
26.1%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
27.1%
<10 Tweets
23.4%
Mass Following (>2K)
0.0%
New (<90 days)
58.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
17.0%
<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.
43,700,790
Total Potential Reach
57
Median Follower Reach
230
75th Percentile Reach
7.9%
>1K followers
1.8%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.3%
Creators
4,932 accounts
23.6%
Consumers
2,362 accounts
27.1%
Dormant
2,706 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):
52
Verified Followers
0.52% of total
984
Protected Accounts
9.84% 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 |
|---|---|---|---|
| @JohnCena | 14,075,873 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BBCSport | 10,747,037 | Sports News | Sports, News, Updates |
| @David_Ornstein | 2,102,711 | Football Correspondent | - |
| @toddcarey | 1,676,489 | Musician | Music, Collaboration, Community |
| @guardian_sport | 906,408 | Sports News | news, comment, video |
| @mrdanwalker | 802,207 | Journalist | Dad, husband, BBC. |
| @AndyBurnhamGM | 583,527 | Politician | Politics, Manchester, Labour |
| @Moreno | 428,773 | Influencer | Business, Manager, Serious |
| @5liveSport | 417,160 | Sports Broadcasting | sport, coverage, analysis |
| @CFCBlues_com | 308,236 | Sports Media | Football, Chelsea FC, Betting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,474
Followers With Bio
3,526
Followers Without Bio
64.74%
% With Bio
35.26%
% 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 3,140 analyzed267,366
Combined Engagement
0
Total Likes
267,366
Total Retweets
53,473
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @chUckbUte: You've got to be kidding me. After all these years... https://t.co/dhNgjCVzeG
RT @Lionesses: 🏆 OUR ENGLAND. OUR CHAMPIONS. 🏆 https://t.co/gf4BHUd5fW
RT @ManCity: Premier League Champions 21/22!!! 🏆💙 https://t.co/FzOuKblPZd
RT @TheEllenShow: .@KanyeWest @JustinBieber @SamSmithWorld #BirthdayShow #Backstage #Incredible http://t.co/21EvcXFSgn
RT @IanMcKellen: The Women’s March in London was the longest I have been on. See the rest of my message attached. https://t.co/q7QC4Jvg0S
Key Insights & Takeaways
His tweets often highlight the emotional and physical challenges of elite sports, showing the fine margins athletes navigate. He shares personal reflections on retirement, emphasizing pride and gratitude for his career. He uses social media to celebrate achievements and connect with fans, reinforcing his role as a broadcaster and advisor.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,484
- + 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 @klbardsley reveals an well-established Twitter presence with 59,484 followers. The account demonstrates a content-creator strategy, averaging 221.4 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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