β΅ππΆππ½πΆππΎππ πΏππππ π½ π₯πβ’
WR @ The Unversity Of Miami π𧑠β‘οΈGod First β‘οΈCanes Connection Athlete @canesconnection
12,171
Followers
607
Following
849
Tweets
238.9
Avg Engagement
21
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rayraythaboy'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:2018-06-14
- Verification:No
- Location:Florida, USA
Data Summary
- Tweets Analyzed:795
- Avg Likes per Tweet:123.4
- Avg Retweets per Tweet:115.5
- Followers Analyzed:11,256
Engagement Analysis
Based on 795 tweetsHis tweets receive a high number of likes and retweets, indicating a strong and active community around his content.
123.4
Avg Likes/Tweet
115.5
Avg Retweets/Tweet
98,093
Total Likes
91,795
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
7
Median Retweets
98
75th Percentile
19,105
Top Tweet
19.62
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
30.9%
Original
19.6%
Replies
39.0%
Retweets
10.4%
Quotes
0.0%
Threads
0.1%
With Media
77.6%
With Links
18.2%
With #Tags
75.8%
With @Mentions
58.1%
With Emojis
119
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 795 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 310 retweets (39% 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 795 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 11,256 followersHis followers are likely fans of the University of Miami and interested in student-athlete stories, with a focus on sports and academics.
Good
Audience Quality
15.1%
Suspicion Index
12.1%
Low-Quality %
317
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
20.8%
Empty Bio
6.4%
<10 Tweets
31.0%
Mass Following (>2K)
0.0%
New (<90 days)
16.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.7%
No URL
3.4%
<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.
51,459,769
Total Potential Reach
317
Median Follower Reach
1,045
75th Percentile Reach
26.0%
>1K followers
3.8%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.8%
Creators
8,758 accounts
15.8%
Consumers
1,776 accounts
6.4%
Dormant
722 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):
129
Verified Followers
1.15% of total
638
Protected Accounts
5.67% 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 | 14,106,633 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,418 | - | - |
| @CoachJim4UM | 1,944,628 | - | - |
| @GeorgiaFootball | 1,107,166 | Football Team | Football, Georgia, Commitment |
| @ClemsonFB | 1,037,607 | Football Team | Football, National Champs, Tigers |
| @UMichFootball | 966,320 | Football | Football, Championships, Tradition |
| @michaelirvin88 | 732,476 | Football Player | Football, Family, Faith |
| @garettnelson | 650,813 | Entrepreneur | Travel, Investing, Adventure |
| @Lane_Kiffin | 630,121 | Coach | Football, Coaching, Ole Miss |
| @CoachSchuman | 589,439 | Football Coach | Football, Recruiting, Motivation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,912
Followers With Bio
2,344
Followers Without Bio
79.18%
% With Bio
20.82%
% 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 795 analyzed51,941
Combined Engagement
3,195
Total Likes
48,746
Total Retweets
10,388
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @obj: Why so serious! https://t.co/fx8mFmI2S1
RT @blackavenger23: Yβall remember the NFL Fantasy Files? Man I canβt wait for football! https://t.co/XvV30VkRij
RT @jerryjeudy: Stick & Move π£ https://t.co/mADkNm93mF
RT @CFBTalkDaily: Is Jerry Jeudy the best receiver in college? https://t.co/oFe9MKDW54
Dream come true π𧑠Committed βΌοΈβΌοΈ @unclelukereal1 @coach_cristobal @Coach_Gattis @dtrain2901 @miamiedison_fb @RolandSmithJr4 https://t.co/73HrAfD8wk
Key Insights & Takeaways
He emphasizes his faith and loyalty to the University of Miami, which resonates with his audience. His top tweets include personal milestones and acknowledgments of support from coaches and teammates. He uses hashtags and emojis to create a sense of community and emotional connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,171
- + 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 @rayraythaboy reveals an well-established Twitter presence with 12,171 followers. The account demonstrates a content-creator strategy, averaging 238.9 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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