JIMI MANUWA
🇳🇬🇬🇧🇺🇸 LIONS EAT FIRST email posterboyjm@hotmail.com
60,004
Followers
1,472
Following
35,256
Tweets
192.4
Avg Engagement
363
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @POSTERBOYJM'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:2010-01-04
- Verification:No
- Location:🇬🇧 🇺🇸
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:53.9
- Avg Retweets per Tweet:138.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,234 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is engaging and thought-provoking for their followers.
53.9
Avg Likes/Tweet
138.5
Avg Retweets/Tweet
174,175
Total Likes
447,974
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
31
75th Percentile
40,716
Top Tweet
3.21
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
39.8%
Original
49.1%
Replies
7.3%
Retweets
3.8%
Quotes
0.0%
Threads
0.1%
With Media
13.9%
With Links
28.8%
With #Tags
63.1%
With @Mentions
35.1%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.23
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
41.2%
Weekday Posts
58.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 236 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 3,234 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 followersTheir audience likely includes sports enthusiasts and followers of mixed martial arts. The global reach suggests an international fan base.
Average
Audience Quality
26.7%
Suspicion Index
28.6%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
25.2%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
63.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
16.5%
<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.
7,329,153
Total Potential Reach
34
Median Follower Reach
141
75th Percentile Reach
4.3%
>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).
53.3%
Creators
5,329 accounts
21.5%
Consumers
2,153 accounts
25.2%
Dormant
2,518 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):
75
Verified Followers
0.75% of total
966
Protected Accounts
9.66% 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 |
|---|---|---|---|
| @PoojaMedia | 466,390 | Media Influencer | Brands, Endorsements, YouTuber |
| @Moreno | 428,841 | Influencer | Business, Manager, Serious |
| @garyhgoodridge | 363,537 | Fighter | UFC, Arm Wrestling, Mental Health |
| @BradleyMartyn | 324,469 | Fitness Influencer | Fitness, Motivation, Lifestyle |
| @davenewworld_2 | 289,171 | Reporter | Racism, Reporting, Media |
| @westbrookdanni | 226,403 | Actress | Momma, Actress, Presenter |
| @ciryl_gane | 208,083 | - | - |
| @VanLathan | 195,735 | Podcaster | Pop culture, sports, entertainment |
| @ConorNigel | 178,077 | Influencer | Wisdom, God, Humble |
| @iamtheceo | 175,329 | Entrepreneur | Entrepreneur, Marketing, Branding |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,939
Followers With Bio
4,061
Followers Without Bio
59.39%
% With Bio
40.61%
% 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 3,234 analyzed165,158
Combined Engagement
0
Total Likes
165,158
Total Retweets
33,032
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @lildurk: Stay loyal to the ones loyal to you never change that ….
RT @FINALLEVEL: Mike Tyson punched somebody who was Fn with him……. The problem is nowadays, MFs think they WON’T get punched in the Face…
RT @gucci1017: Loyalty is showed through actions not words!
RT @1future: Stay prayed up.
RT @gucci1017: Never let them know your next move!
Key Insights & Takeaways
They often share personal opinions and predictions about fighters and events Their content is focused on sports, particularly combat sports like MMA They engage with their audience by encouraging discussion and debate
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,004
- + High community engagement through conversations
- + 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 @POSTERBOYJM reveals an well-established Twitter presence with 60,004 followers. The account demonstrates a conversation-first approach, averaging 192.4 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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