IFL TV
The number ONE online source for boxing. Co-founded in 2010 by Kugan Cassius
182,845
Followers
2,301
Following
59,773
Tweets
110.4
Avg Engagement
398
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IFLTV'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:2011-03-24
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:98.0
- Avg Retweets per Tweet:12.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a high average engagement rate with likes and retweets, indicating a dedicated and active audience. The content often sparks strong reactions and discussions.
98.0
Avg Likes/Tweet
12.4
Avg Retweets/Tweet
318,533
Total Likes
40,374
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
27
Median Likes
3
Median Retweets
76
75th Percentile
20,591
Top Tweet
0.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
90.4%
Original
1.8%
Replies
7.0%
Retweets
0.8%
Quotes
0.0%
Threads
0.1%
With Media
87.4%
With Links
86.7%
With #Tags
62.5%
With @Mentions
80.6%
With Emojis
203
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.0%
Weekday Posts
33.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 228 retweets (7% 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 3,250 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 followersThe audience is primarily interested in boxing news and events, with a focus on high-profile fighters and promoters. The content is likely appealing to boxing fans and enthusiasts.
Average
Audience Quality
28.2%
Suspicion Index
35.1%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
29.7%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
60.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
20.1%
<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.
50,763,561
Total Potential Reach
32
Median Follower Reach
142
75th Percentile Reach
3.7%
>1K followers
0.5%
>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).
46.8%
Creators
23,410 accounts
23.4%
Consumers
11,720 accounts
29.7%
Dormant
14,870 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):
420
Verified Followers
0.42% of total
12,152
Protected Accounts
12.03% 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 | 14,100,793 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GNev2 | 5,505,560 | Sports Commentator | Football, Analysis, Motivation |
| @louistheroux | 2,244,787 | Documentary Filmmaker | Documentaries, Irony, Filmmaking |
| @talkSPORT | 2,199,309 | Sports broadcaster | Sports, Radio, Station |
| @empireofthekop | 1,928,769 | Football Fan | Liverpool, football, fans |
| @KameronBennett | 1,823,150 | DJ | Music, DJing, Booking |
| @Nigel_Farage | 1,758,509 | Politician | Politics, News, Television |
| @example | 1,646,711 | Musician | Music, Classic Albums, Album Eight |
| @RayJ | 1,465,317 | Entertainer | music, entrepreneur, family |
| @joe_weller_ | 1,424,109 | YouTuber | YouTube, Music, Athlete |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,725
Followers With Bio
49,268
Followers Without Bio
51.22%
% With Bio
48.78%
% 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 3,250 analyzed51,708
Combined Engagement
45,189
Total Likes
6,519
Total Retweets
10,342
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
“THE BBC ARE A BUNCH OF PUSSIES!” 😤 A fired up @FrankWarren doesn’t hold back as he absolutely tears into @GaryLineker 🗣️ 🔗 | https://t.co/7ocNXXzyvt 🎤 | @Umar_iFL https://t.co/381fUPbD3Q
"F*CK OFF. YOU WANT MONEY, YOU WANT TOO MUCH MONEY" 🤬 @EddieHearn goes IN on @Tyson_Fury over ongoing negotiations with Oleksandr Usyk. Watch the full rant by clicking HERE ➡️ https://t.co/vm1t5CV1fx #EddieHearn #TysonFury #OleksandrUsyk #BoxingFans https://t.co/M3OWN9ndfw
WOW! 😱 @Tyson_Fury & @BronzeBomber meet in Saudi Arabia 🇸🇦 https://t.co/xdhQmmDAuA
“YOU LITTLE GAPPY TOOTH, UGLY B*STARD. SIGN THE CONTRACT” 🍿 Tyson Fury responds to Oleksandr Usyk accepting his 70/30 split offer. 🎥 @Tyson_Fury #TysonFury #OleksandrUsyk #GypsyKing #FuryUsyk https://t.co/jgkLhKzpsg
"HEY GREEDY BELLY, I ACCEPT YOUR OFFER" Oleksandr Usyk has accepted Tyson Fury's demand of 70/30 split to fight him ✅ 🎥 @Usykaa #Usyk #FuryUsyk #BoxingFans #BoxingNews https://t.co/XtCcbGQBET
Key Insights & Takeaways
The account frequently uses strong language and emotional expressions, which may drive engagement and attention. It often highlights conflicts and controversies within the boxing world, which can attract a wide audience. The use of links to videos and articles suggests a focus on providing in-depth coverage and real-time updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 182,845
- + 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 @IFLTV reveals an well-established Twitter presence with 182,845 followers. The account demonstrates a content-creator strategy, averaging 110.4 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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