LERONE MURPHY
@UFC Featherweight | 13-0- | Manchester
12,058
Followers
130
Following
1,731
Tweets
176.2
Avg Engagement
54
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LeroneMurphy'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:2019-01-24
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:77.2
- Avg Retweets per Tweet:99.0
- Followers Analyzed:11,813
Engagement Analysis
Based on 500 tweetsLeroneMurphy's tweets typically receive around 1,535 likes and 81 retweets on average, indicating a dedicated and engaged fan base. Their content is well-received and sparks conversations among followers.
77.2
Avg Likes/Tweet
99.0
Avg Retweets/Tweet
38,576
Total Likes
49,503
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
1
Median Retweets
60
75th Percentile
15,283
Top Tweet
14.61
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
54.4%
Original
31.2%
Replies
9.6%
Retweets
4.8%
Quotes
0.0%
Threads
0.4%
With Media
17.4%
With Links
7.6%
With #Tags
43.4%
With @Mentions
38.8%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
48.8%
Weekday Posts
51.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 48 retweets (10% 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 500 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 11,813 followersThe audience primarily consists of MMA enthusiasts and UFC fans, especially from the UK. They are interested in in-depth discussions about fighters and their performances.
Good
Audience Quality
18.9%
Suspicion Index
22.9%
Low-Quality %
107
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.3%
Empty Bio
10.5%
<10 Tweets
14.4%
Mass Following (>2K)
0.0%
New (<90 days)
41.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
6.4%
<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.
27,526,729
Total Potential Reach
107
Median Follower Reach
319
75th Percentile Reach
7.2%
>1K followers
0.9%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.9%
Creators
8,970 accounts
13.6%
Consumers
1,604 accounts
10.5%
Dormant
1,239 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):
156
Verified Followers
1.32% of total
1,428
Protected Accounts
12.09% 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 |
|---|---|---|---|
| @ufc | 11,318,835 | MMA Fighter | MMA, Fighting, ESPN+ |
| @arielhelwani | 1,326,797 | Journalist | MMA, Spotify, BTSport |
| @MMAFighting | 1,164,865 | Sports Journalism | MMA, Mixed Martial Arts, News |
| @UFCEspanol | 960,799 | Sports commentator | MMA, UFC, peleas |
| @bisping | 955,396 | MMA Fighter | MMA, Octagon, Tickets |
| @UFCEurope | 579,960 | Sports Marketing | MMA, Europe, Official |
| @UFCNews | 562,408 | Sports News | MMA, Fighters, Events |
| @Showtimepettis | 497,008 | MMA Fighter | Fighting, Fatherhood, Business |
| @Moreno | 430,148 | Influencer | Business, Manager, Serious |
| @danhardymma | 393,465 | MMA Fighter | MMA, Reptiles, Philosophy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,165
Followers With Bio
4,648
Followers Without Bio
60.65%
% With Bio
39.35%
% 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 500 analyzed45,420
Combined Engagement
3,815
Total Likes
41,605
Total Retweets
9,084
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @FBAwayDays: Pele doing everything your favourite player does, first. The King of Football 👏🤴🏿 https://t.co/Or9EivIvHJ
RT @arielhelwani: Horrible news: Anthony “Rumble” Johnson passed away today. He was 38 years old. Johnson had been battling an illness…
RT @unkonfined: Let time expose them, they can’t fake it forever.
Who’s the best striker to ever fight in the UFC? My pick is Anderson silva
RT @jakepaul: Get rid of anyone that plays both sides, no matter how much they mean to you. Loyalty to everyone is loyalty to no one.
Key Insights & Takeaways
LeroneMurphy often highlights top fighters like Anderson Silva and Khabib Nurmagomedov, showing a strong preference for elite performers. They engage with fans by encouraging them to enjoy the sport without taking sides in debates. Their content is focused on analysis and opinions, which resonates well with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,058
- + 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 @LeroneMurphy reveals an well-established Twitter presence with 12,058 followers. The account demonstrates a content-creator strategy, averaging 176.2 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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