Paul Merson
Account of Paul Merson//Ex Footballer // Current Soccer Saturday Pundit enquiries jim@extratimemgt.com use code Merson40 at https://supremecbd.uk/ and save 40% ⬇️
418,246
Followers
457
Following
3,753
Tweets
119.3
Avg Engagement
637
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PaulMerse'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:2011-12-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,976
- Avg Likes per Tweet:74.4
- Avg Retweets per Tweet:44.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,976 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is driven by his personal stories and football-related content.
74.4
Avg Likes/Tweet
44.8
Avg Retweets/Tweet
147,106
Total Likes
88,541
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
18
75th Percentile
31,018
Top Tweet
0.29
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
14.1%
Original
6.3%
Replies
78.1%
Retweets
1.6%
Quotes
0.0%
Threads
0.0%
With Media
30.7%
With Links
39.0%
With #Tags
91.5%
With @Mentions
13.2%
With Emojis
127
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.5%
Weekday Posts
18.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,976 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 1,543 retweets (78% 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 1,976 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 includes football fans and followers interested in his personal journey and insights. The audience is primarily engaged with his candid and relatable content.
Average
Audience Quality
26.4%
Suspicion Index
33.8%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.5%
Empty Bio
28.0%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
57.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
18.0%
<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.
64,867,373
Total Potential Reach
33
Median Follower Reach
134
75th Percentile Reach
3.9%
>1K followers
0.4%
>10K followers
0.1%
>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).
47.3%
Creators
23,669 accounts
24.7%
Consumers
12,344 accounts
28.0%
Dormant
13,987 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):
462
Verified Followers
0.46% of total
11,039
Protected Accounts
10.93% 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 |
|---|---|---|---|
| @JohnCena | 14,104,054 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rioferdy5 | 11,603,044 | Footballer | Football, Media, Commercial |
| @rustyrockets | 11,218,580 | Comedian | activism, comedy, spirituality |
| @GordonRamsay | 7,697,996 | Chef | Cooking, Food, Restaurants |
| @midoahm | 5,545,231 | Entrepreneur | Dogs, Father, Founder |
| @ITV | 2,271,983 | Media | TV, entertainment, news |
| @Carra23 | 2,192,465 | Football Pundit | Football, TV punditry, Charity |
| @HHathout | 1,177,669 | Sports Presenter | Sports, TV, Radio |
| @EamonnHolmes | 1,103,955 | TV Presenter | TV, Trustee, Television |
| @petercrouch | 1,080,621 | Footballer | Football, Podcasts, Banter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,148
Followers With Bio
47,850
Followers Without Bio
52.62%
% With Bio
47.38%
% 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 1,976 analyzed101,820
Combined Engagement
74,623
Total Likes
27,197
Total Retweets
20,364
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
Thank you for the supportive tweets, means the world to me. Taking one day at a time but it's getting better for me. Addiction is the most lonely of places and I've had three of the worst types over three decades. Never be afraid to talk, you're never alone
Thank you all for the lovely messages, they mean a lot to me personally. If I can help one person by sharing my story then in my eyes it’s a success #oneyearsober #onedayatatime
RT @NiallOfficial: Watchin @FantasyFC @asmir1 @FennersFooty @PaulMerse , great show lads!! Is the 1 to 11 their favourite players they've …
I don’t know how @LukeShaw23 was getting around the pitch so well with @MoSalah in his pocket 👀
Apologies mate 🤣.. well played to both of you today 👏🏻 https://t.co/A4UUIk2sCu
Key Insights & Takeaways
He openly shares his personal struggles and recovery journey, which resonates with his audience. He uses his platform to connect with fans and express gratitude for their support. He often references football players and events, highlighting his deep involvement in the sport.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 418,246
- + 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 @PaulMerse reveals an well-established Twitter presence with 418,246 followers. The account demonstrates a content-creator strategy, averaging 119.3 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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