Reginald D Hunter
Comedian swashbuckler dabbler-scientist rapscallion poof reader shockmocker and libertine
112.160
Followers
4.007
Following
79.835
Tweets
887,7
Avg Engagement
658
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @reginalddhunter'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:2009-08-15
- Verification:No
- Location:Earth
Data Summary
- Tweets Analyzed:3.227
- Avg Likes per Tweet:47,7
- Avg Retweets per Tweet:840,1
- Followers Analyzed:10.999
Engagement Analysis
Based on 3.227 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests a loyal and active fan base.
47,7
Avg Likes/Tweet
840,1
Avg Retweets/Tweet
153.834
Total Likes
2.710.916
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
173
75th Percentile
92.711
Top Tweet
7,91
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
24,3%
Original
30,4%
Replies
36,3%
Retweets
9,0%
Quotes
0,0%
Threads
0,6%
With Media
77,7%
With Links
11,6%
With #Tags
78,6%
With @Mentions
12,1%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,25
Reply/Original Ratio
0,25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71,2%
Weekday Posts
28,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.227 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 1.173 retweets (36% 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 3.227 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 10.999 followersHis audience likely includes fans of comedy, pop culture enthusiasts, and those interested in bold, satirical takes on current events. The mix of humor and controversy suggests a diverse and engaged following.
Average
Audience Quality
20,5%
Suspicion Index
25,7%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41,5%
Empty Bio
15,1%
<10 Tweets
14,4%
Mass Following (>2K)
0,0%
New (<90 days)
42,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,8%
No URL
9,8%
<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.
23.858.995
Total Potential Reach
69
Median Follower Reach
270
75th Percentile Reach
9,6%
>1K followers
1,0%
>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).
68,3%
Creators
7.512 accounts
16,6%
Consumers
1.823 accounts
15,1%
Dormant
1.664 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):
50
Verified Followers
0.45% of total
941
Protected Accounts
8.56% 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 | 14.093.755 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Glinner | 551.038 | Writer | Comedy, Feminism, Activism |
| @IamMzilikazi | 550.143 | Musician | Pan-African music, Album, Rise |
| @TizzyEnt | 516.101 | Director & Editor | TV, Films, Music Videos |
| @Elverojaguar | 386.185 | Influencer | Yoga, Dance, Animals |
| @TroyHawke | 179.690 | - | - |
| @MarkWOfficial | 165.112 | Musician | Music, Travel, Fitness |
| @karenhunter | 149.557 | Media Personality | Black excellence, activism, journalism |
| @Otto_English | 146.373 | Journalist | History, Journalism, Writing |
| @Dr_Rafizadeh | 121.914 | Political Analyst | Politics, Business, Science |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.436
Followers With Bio
4.563
Followers Without Bio
58.51%
% With Bio
41.49%
% 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 3.227 analyzed329.167
Combined Engagement
0
Total Likes
329.167
Total Retweets
65.833
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @PicturesFoIder: https://t.co/OKtDbsdRCC
RT @Enezator: Legend adaptation https://t.co/tjzRIQCGGG
RT @TheFigen_: This design is wow! https://t.co/RZWcFIONAY
RT @abubbleoffplumb: I have never laughed so hard in my entire life. 🤣😂🤣😂😹😹 https://t.co/d7ShnAQy74
RT @PicturesFoIder: https://t.co/sAVOxsHLSX
Key Insights & Takeaways
His content often includes controversial and provocative statements, which may drive engagement. He frequently references pop culture and historical events, blending humor with commentary. His use of shock value and bold claims appears to be a key strategy for capturing attention.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 112.160
- + 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 @reginalddhunter reveals an well-established Twitter presence with 112.160 followers. The account demonstrates a conversation-first approach, averaging 887,7 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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