Tom Shanklin
Founder of Locker Room Events and Singer/Songwriter for @FlatsandShanks
60,794
Followers
1,376
Following
23,539
Tweets
150.9
Avg Engagement
320
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TomShanklin'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:2011-01-20
- Verification:No
- Location:Cardiff
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:28.8
- Avg Retweets per Tweet:122.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,224 tweetsTom Shanklin's tweets receive an average of 2,237 likes and 126 retweets, indicating a dedicated and interactive fan base.
28.8
Avg Likes/Tweet
122.1
Avg Retweets/Tweet
92,778
Total Likes
393,639
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
14
75th Percentile
217,750
Top Tweet
2.48
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
12.7%
Original
60.5%
Replies
18.2%
Retweets
8.5%
Quotes
0.0%
Threads
0.3%
With Media
36.8%
With Links
7.5%
With #Tags
87.4%
With @Mentions
19.7%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.74
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 588 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 3,224 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 music fans and event attendees interested in sports and entertainment. They engage with his content through likes and retweets.
Average
Audience Quality
24.2%
Suspicion Index
35.0%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.9%
Empty Bio
28.2%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
19.1%
<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.
11,618,067
Total Potential Reach
42
Median Follower Reach
172
75th Percentile Reach
5.7%
>1K followers
1.1%
>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).
49.8%
Creators
4,982 accounts
22.0%
Consumers
2,202 accounts
28.2%
Dormant
2,816 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):
36
Verified Followers
0.36% of total
1,088
Protected Accounts
10.88% of total
7 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 |
|---|---|---|---|
| @SinghLions | 1,327,393 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 938,997 | - | - |
| @chrishoy | 640,028 | Cyclist | BBQ, Coffee, Motorsport |
| @JamesMelville | 438,355 | Consultant | Communications, Sponsorship, Writing |
| @RonanOGara10 | 421,502 | Rugby Player | rugby, coaching, punditry |
| @5liveSport | 417,045 | Sports Broadcasting | sport, coverage, analysis |
| @KearneyRob | 323,823 | Athlete | rugby, sports, fitness |
| @jamieheaslip | 259,862 | Retired Rugby Player | Rugby, Business, Opportunities |
| @conquerer1 | 235,406 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @Grit_SportsNews | 227,873 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,909
Followers With Bio
5,091
Followers Without Bio
49.09%
% With Bio
50.91%
% 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 3,224 analyzed279,498
Combined Engagement
0
Total Likes
279,498
Total Retweets
55,900
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @benphillips76: A clip from Don’t Look Up, and then a real TV interview that just happened https://t.co/CokQ5eb3sO
RT @toddedillard: I don’t know who needs to hear this but living your life to the fullest does not have to involve hiking
RT @mrdanwalker: I can’t believe it’s been 10 years since Gary Speed’s death. I hope this helps someone… https://t.co/FeQlkfBBzW
RT @philsadelphia: jack black is trending so im bringing this gem back https://t.co/miU6u4gWZX
RT @andyhazeldine64: Whoever did this is a genius 👏 https://t.co/TnghS8gcPD
Key Insights & Takeaways
He frequently shares music and event-related content, which aligns with his professional background. His tweets often include links to specific songs or videos, suggesting a focus on direct engagement. He occasionally comments on sports events, indicating a broader interest in public discourse.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,794
- + 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 @TomShanklin reveals an well-established Twitter presence with 60,794 followers. The account demonstrates a conversation-first approach, averaging 150.9 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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