Jermaine Jenas
🎙BBC Sport 📺 @bbctheoneshow 💼 @McsaatchiMerlin
289.830
Followers
651
Following
5.220
Tweets
532,1
Avg Engagement
1.287
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jjenas8'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:2011-01-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.207
- Avg Likes per Tweet:302,1
- Avg Retweets per Tweet:230,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.207 tweetsTheir tweets receive an average of 26,066 likes and 2,939 retweets, indicating strong audience interaction. The content is well-received and often shared.
302,1
Avg Likes/Tweet
230,0
Avg Retweets/Tweet
968.773
Total Likes
737.617
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
4
Median Retweets
84
75th Percentile
309.921
Top Tweet
1,84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
39,9%
Original
7,2%
Replies
27,2%
Retweets
25,7%
Quotes
0,0%
Threads
0,2%
With Media
67,4%
With Links
24,9%
With #Tags
56,4%
With @Mentions
43,5%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,18
Reply/Original Ratio
0,95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67,2%
Weekday Posts
32,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.207 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 871 retweets (27% 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 3.207 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 primarily consists of sports enthusiasts and fans of BBC Sport. They are likely interested in match analyses and commentary.
Average
Audience Quality
24,9%
Suspicion Index
29,4%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,2%
Empty Bio
21,8%
<10 Tweets
14,9%
Mass Following (>2K)
0,0%
New (<90 days)
53,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,1%
No URL
13,6%
<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.
84.994.250
Total Potential Reach
48
Median Follower Reach
186
75th Percentile Reach
5,8%
>1K followers
0,7%
>10K followers
0,3%
>50K followers
0,2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55,7%
Creators
27.829 accounts
22,6%
Consumers
11.294 accounts
21,8%
Dormant
10.877 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):
234
Verified Followers
0.23% of total
12.436
Protected Accounts
12.31% of total
8 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 | 14.102.329 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rustyrockets | 11.216.171 | Comedian | activism, comedy, spirituality |
| @piersmorgan | 8.460.753 | Journalist | quotes, media, controversy |
| @England | 6.057.519 | Sports Marketing | Football, National Teams, Contact Us |
| @Lord_Sugar | 5.202.422 | Entrepreneur | business, entrepreneurship, technology |
| @433 | 4.304.289 | Football Content Creator | Football, Home, 433 |
| @themichaelowen | 3.789.124 | Footballer | football, sports, pundit |
| @UEFA | 2.331.816 | Football | Football, EqualGame, Official |
| @BBC | 2.224.996 | Media | News, Education, Entertainment |
| @Carra23 | 2.193.825 | Football Pundit | Football, TV punditry, Charity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55.656
Followers With Bio
45.343
Followers Without Bio
55.11%
% With Bio
44.89%
% 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 3.207 analyzed586.290
Combined Engagement
99.517
Total Likes
486.773
Total Retweets
117.258
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
Been on air with the one show. I wasn’t down to be doing match of the day tomorrow, but if I was I would of said no and stood with my fellow pundits and @GaryLineker
RT @NiallOfficial: This Wimbledon is absolutely incredible ! What a performance from both men
RT @Lionesses: 🏆 OUR ENGLAND. OUR CHAMPIONS. 🏆 https://t.co/gf4BHUd5fW
RT @GarethBale11: It has been an honour. Thank you! #HALAMADRID @RealMadrid https://t.co/T7FL2LNRrD
Key Insights & Takeaways
The user frequently shares personal opinions on sports matches and pundits. They engage with other sports personalities and fans through mentions and hashtags. Their content often reflects emotional reactions to sports outcomes, such as disappointment or admiration.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 289.830
- + 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 @jjenas8 reveals an well-established Twitter presence with 289.830 followers. The account demonstrates a content-creator strategy, averaging 532,1 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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