Neil Mellor
SKYSPORTS and LFCTV reporter, Keynote Speaker. Dad of 2, ex pro-footballer for Liverpool,West Ham, Wigan, PNE and Sheffield Wednesday.
102,141
Followers
1,402
Following
12,715
Tweets
248.6
Avg Engagement
500
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NeilMellor33'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:2011-08-04
- Verification:No
- Location:liverpool
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:105.5
- Avg Retweets per Tweet:143.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,236 tweetsNeil Mellor's tweets consistently receive high likes and retweets, indicating strong audience interaction and interest in his content. His use of hashtags and multimedia enhances engagement and visibility.
105.5
Avg Likes/Tweet
143.1
Avg Retweets/Tweet
341,352
Total Likes
463,135
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
51
75th Percentile
177,176
Top Tweet
2.43
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
43.4%
Original
25.3%
Replies
13.1%
Retweets
18.2%
Quotes
0.0%
Threads
0.1%
With Media
72.6%
With Links
55.3%
With #Tags
48.7%
With @Mentions
71.8%
With Emojis
147
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
1.38
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.5%
Weekday Posts
34.5%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,236 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 425 retweets (13% 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 3,236 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 sports media, with a significant interest in Liverpool FC and related content. The audience is also drawn to his personal and family-oriented posts.
Average
Audience Quality
24.5%
Suspicion Index
27.2%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.2%
Empty Bio
22.4%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
51.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
14.2%
<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.
22,249,951
Total Potential Reach
64
Median Follower Reach
242
75th Percentile Reach
6.5%
>1K followers
0.7%
>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).
55.6%
Creators
5,557 accounts
22.1%
Consumers
2,208 accounts
22.4%
Dormant
2,235 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):
41
Verified Followers
0.41% of total
991
Protected Accounts
9.91% 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 | 14,093,038 | Wrestler | Wrestling, Motivation, Self-promotion |
| @footballdaily | 737,066 | Sports Journalist | Breaking news, press conferences, interviews |
| @paddypower | 702,650 | Betting Company | Football, Betting, Humor |
| @IamMzilikazi | 550,271 | Musician | Pan-African music, Album, Rise |
| @DGoughie | 411,249 | Cricketer | Cricket, Dogs, Sports |
| @DavidMeyler | 203,279 | Football Pundit | Football, Presenter, Pundit |
| @TheRealBozza | 198,631 | Football Analyst | Football, Analyst, Sport Lover |
| @mickquinn1089 | 153,113 | Racehorse Trainer | Football, Horse racing, Television |
| @BenWebbLFC | 145,753 | Football Writer | Liverpool, football, Jaffa cakes |
| @DavidVujanic | 137,267 | Influencer | Football, Comedy, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,979
Followers With Bio
4,021
Followers Without Bio
59.79%
% With Bio
40.21%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,236 analyzed309,121
Combined Engagement
25,529
Total Likes
283,592
Total Retweets
61,824
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @LFC: WE’RE PREMIER LEAGUE CHAMPIONS!! 🏆 https://t.co/qX7Duxoslm
RT @JHenderson: https://t.co/X2ZFqJ9T4L
A Champions League memory TikTok style 😂👍⚽ family ❤️ #whatahit #lovelycushionedheader #LFC #championsleague #tiktok @LFC @Carra23 https://t.co/TUHd4xhm5c
RT @LFC: Liverpool Football Club can confirm that our involvement in proposed plans to form a European Super League has been discontinued.
RT @LFC: You’ll Never Walk Alone, @Alissonbecker ❤️ https://t.co/58Uf4bcKAB
Key Insights & Takeaways
He effectively uses personal and family moments to build a relatable image His content often blends professional and personal aspects, creating a balanced and engaging narrative He leverages his football background to connect with fans and maintain relevance in the sports space
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 102,141
- + 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 @NeilMellor33 reveals an well-established Twitter presence with 102,141 followers. The account demonstrates a content-creator strategy, averaging 248.6 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access