Mark Labbett
The Beast. For Quiz and PAs please contact https://www.bookthebeast.co.uk/ to get best prices. For TV & media enquiries please contact [email protected]
155,860
Followers
486
Following
20,491
Tweets
271.3
Avg Engagement
185
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarkLabbett'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: Macro Influencer (100K+)
- Account Age:2011-02-01
- Verification:No
- Location:Herefordshire/sheffield
Data Summary
- Tweets Analyzed:3,213
- Avg Likes per Tweet:70.8
- Avg Retweets per Tweet:200.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,213 tweetsHis tweets generally receive a high number of likes and a moderate number of retweets, suggesting a loyal and engaged follower base. The content appears to resonate well with his audience.
70.8
Avg Likes/Tweet
200.6
Avg Retweets/Tweet
227,336
Total Likes
644,452
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
53
75th Percentile
69,349
Top Tweet
1.74
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
14.3%
Original
53.2%
Replies
32.1%
Retweets
0.3%
Quotes
0.0%
Threads
0.3%
With Media
10.3%
With Links
17.4%
With #Tags
85.7%
With @Mentions
5.0%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.71
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.0%
Weekday Posts
21.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,213 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 1,032 retweets (32% 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 3,213 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 50,000 followersHis audience likely includes individuals interested in humor, lifestyle, and personal anecdotes. They may also be interested in fashion, retail, and media-related topics due to his business contact mentions.
Good
Audience Quality
19.9%
Suspicion Index
26.0%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
13.9%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
43.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
8.3%
<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.
54,735,102
Total Potential Reach
65
Median Follower Reach
225
75th Percentile Reach
5.9%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.4%
Creators
33,713 accounts
18.7%
Consumers
9,357 accounts
13.9%
Dormant
6,930 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):
263
Verified Followers
0.26% of total
14,745
Protected Accounts
14.6% of total
9 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 | 14,101,018 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jackwhitehall | 6,055,339 | Actor/Comedian | Comedy, Acting, Entertainment |
| @Lord_Sugar | 5,200,965 | Entrepreneur | business, entrepreneurship, technology |
| @SarahMillican75 | 2,115,323 | Comedian | Comedy, Feminism, Pets |
| @CelebJuice | 1,945,154 | Entertainment | TV, Comedy, Entertainment |
| @chris_kammy | 1,899,127 | Football pundit | Football, TV, Singing |
| @scott_mills | 1,265,029 | Radio Host | Entertainment, Music, Radio |
| @JackPhan | 1,111,220 | Entrepreneur | Visionary, Startup Entrepreneur, AdobeInsider |
| @Daily_Express | 1,012,180 | News Outlet | News, Updates, Headlines |
| @WWEgames | 971,480 | Gaming | WWE, Video Games, Wrestling |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,675
Followers With Bio
44,318
Followers Without Bio
56.12%
% With Bio
43.88%
% 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 3,213 analyzed210,891
Combined Engagement
42,810
Total Likes
168,081
Total Retweets
42,178
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @Number10cat: “The King has asked me to become Prime Minister because this nonsense has gone on long enough.” https://t.co/eFL3fgSfVL
RT @Alan_McGuinness: My son has lived through four chancellors, three home secretaries, two prime ministers and two monarchs. He's four mo…
52 inch chest so down from 5xl to 2xl, still work to do…..xl or bust :) https://t.co/gulHmlaYEq
RT @GaryLineker: If you’re lucky enough to get a ticket for the final, please, please don’t boo the Italian anthem. A/ It’s an absolute bel…
RT @BorisJohnson: Congratulations @JoeBiden and @KamalaHarris https://t.co/xrpE99W4c4
Key Insights & Takeaways
He frequently shares personal experiences related to body image and fashion, which may indicate a focus on self-expression and lifestyle. He occasionally addresses mental health, showing a willingness to be vulnerable and relatable. His account includes business contact information, suggesting a blend of personal and professional content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 155,860
- + 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 @MarkLabbett reveals an well-established Twitter presence with 155,860 followers. The account demonstrates a conversation-first approach, averaging 271.3 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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