Lee Trundle
Ex professional footballer, now Ambassador of Swansea City FC. These views are my own and not that of Swansea City FC.
69,014
Followers
4,012
Following
27,059
Tweets
30.8
Avg Engagement
99
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LeeTrundle10'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:2013-07-24
- Verification:No
- Location:Swansea
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:21.5
- Avg Retweets per Tweet:9.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsHis tweets typically receive a high number of likes and some retweets, indicating a strong and active community around his content.
21.5
Avg Likes/Tweet
9.3
Avg Retweets/Tweet
69,491
Total Likes
30,205
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
8
75th Percentile
6,329
Top Tweet
0.45
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
6.7%
Original
70.8%
Replies
18.3%
Retweets
4.2%
Quotes
0.0%
Threads
0.5%
With Media
21.7%
With Links
7.6%
With #Tags
95.1%
With @Mentions
30.0%
With Emojis
119
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.51
Reply/Original Ratio
0.23
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 3,237 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 592 retweets (18% 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 3,237 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 primarily consists of football fans and followers of Swansea City FC, with a focus on engagement and interaction.
Good
Audience Quality
19.1%
Suspicion Index
24.9%
Low-Quality %
114
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
17.5%
<10 Tweets
15.8%
Mass Following (>2K)
0.0%
New (<90 days)
31.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
11.5%
<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.
49,219,857
Total Potential Reach
114
Median Follower Reach
348
75th Percentile Reach
9.0%
>1K followers
1.2%
>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).
65.2%
Creators
6,523 accounts
17.3%
Consumers
1,729 accounts
17.5%
Dormant
1,748 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):
66
Verified Followers
0.66% of total
1,052
Protected Accounts
10.52% 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 |
|---|---|---|---|
| @VancityReynolds | 21,450,229 | Actor | gin, mobile, soccer |
| @JohnCena | 14,094,184 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,328,115 | Restaurateur | Food, Travel, Influencer |
| @RealMattLucas | 1,249,669 | Actor | Comedy, Acting, Television |
| @SpencerOwen | 630,834 | Football Presenter | Football, Esports, Presenter |
| @timlovejoy | 607,568 | TV Host | TV, Podcasting, Food |
| @TheAnfieldWrap | 569,247 | Sports Media | Liverpool FC, Podcasts, Writing |
| @darrentill2 | 471,387 | MMA Fighter | MMA, Liverpool FC, Training |
| @garyhgoodridge | 363,256 | Fighter | UFC, Arm Wrestling, Mental Health |
| @Gunnersc0m | 342,851 | Sports Media | Football, Arsenal, Betting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,168
Followers With Bio
3,832
Followers Without Bio
61.68%
% With Bio
38.32%
% 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 3,237 analyzed22,427
Combined Engagement
8,451
Total Likes
13,976
Total Retweets
4,485
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
Loved the show today guys, great to be back on x https://t.co/Kz9ru0Pezp
RT @GottliebShow: How many times can I retweet this https://t.co/WXhMGKHWIK
RT @BSMotorCity: BILLIE JEAN IS NOT MY LOVER https://t.co/zZYVGLcDOT
RT @TheEvertonian78: Just before Christmas I unexpectedly lost my job. Haven’t managed to find anywhere yet and the savings are starting to run down. If anyone knows of any marketing jobs in Liverpool city centre or The Wirral could you please let me know. RTs are massively app
Great to see my old side @BristolCity with a great win tonight x
Key Insights & Takeaways
He often shares personal experiences and emotions related to football, which resonate with his audience. He frequently mentions his past teams and current role, highlighting his connection to the sport. His content is mostly positive and celebratory, reflecting his passion for football.
Strengths
- + Established follower base of 69,014
- + 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 @LeeTrundle10 reveals an growing Twitter presence with 69,014 followers. The account demonstrates a conversation-first approach, averaging 30.8 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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