500 🏎
Blessed And Highly Favored 🕊️
14,847
Followers
1,503
Following
210,902
Tweets
155.2
Avg Engagement
112
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kameron_Hay'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:2016-08-24
- Verification:Yes
- Location:STL is home
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:98.6
- Avg Retweets per Tweet:56.6
- Followers Analyzed:14,104
Engagement Analysis
Based on 3,237 tweetsKameron Hay's tweets receive an average of 16,105 likes and 1,999 retweets, showing strong audience interaction. His content is well-received, with a high level of engagement from followers.
98.6
Avg Likes/Tweet
56.6
Avg Retweets/Tweet
319,305
Total Likes
183,163
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
3
Median Retweets
51
75th Percentile
40,888
Top Tweet
10.46
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
25.2%
Original
21.2%
Replies
17.5%
Retweets
36.1%
Quotes
0.0%
Threads
0.0%
With Media
52.7%
With Links
1.0%
With #Tags
37.2%
With @Mentions
7.2%
With Emojis
94
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.84
Reply/Original Ratio
2.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.0%
Weekday Posts
34.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 566 retweets (17% 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 3,237 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 14,104 followersHis audience appears to be sports enthusiasts, particularly those interested in basketball and NFL coverage. The engagement metrics suggest a dedicated fan base that interacts regularly with his content.
Good
Audience Quality
17.0%
Suspicion Index
16.3%
Low-Quality %
195
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.1%
Empty Bio
9.2%
<10 Tweets
20.8%
Mass Following (>2K)
0.0%
New (<90 days)
32.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.6%
No URL
5.5%
<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.
79,115,515
Total Potential Reach
195
Median Follower Reach
603
75th Percentile Reach
16.2%
>1K followers
2.3%
>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).
79.3%
Creators
11,180 accounts
11.6%
Consumers
1,633 accounts
9.2%
Dormant
1,291 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):
186
Verified Followers
1.32% of total
1,873
Protected Accounts
13.28% of total
7 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 |
|---|---|---|---|
| @KDTrey5 | 20,857,511 | Basketball Player | Basketball, Entrepreneurship, Media |
| @JohnCena | 14,106,730 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,303 | - | - |
| @Complex | 2,549,906 | Media | Pop culture, entertainment, lifestyle |
| @6BillionPeople | 2,038,887 | - | - |
| @KameronBennett | 1,810,196 | DJ | Music, DJing, Booking |
| @ComplexMusic | 1,592,493 | Music Journalist | Music, Listening, Complex |
| @LeBronJames | 1,006,957 | - | - |
| @workwthecoach | 877,060 | - | - |
| @SleepSkee | 711,383 | Musician | Music, Independent, Artist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,280
Followers With Bio
3,824
Followers Without Bio
72.89%
% With Bio
27.11%
% 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 3,237 analyzed146,203
Combined Engagement
131,606
Total Likes
14,597
Total Retweets
29,241
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
The entire 2018 playoff run https://t.co/GJZvcItxDK https://t.co/piN06oZn8T
Said this like it’s MLK Day I am cryin https://t.co/dvXlgHrdij
Just watch Bam Adebayo here https://t.co/p3xoyu9uno
This broke LeBron. Never seen anything like it Lmfao https://t.co/lUp9cTR3Va
This Michael B. Jordan convo has gone on long enough man. He didn’t violate the interviewer, still answered her questions with thoughtful responses and gave her more grace than the average person might have. How did he come out getting called corny or the villain here?
Key Insights & Takeaways
His top tweets include a 2018 playoff run, indicating a focus on sports history and nostalgia. He shares personal reflections, such as emotional reactions to events, which adds a human element to his content. He frequently links to videos, suggesting a preference for visual storytelling and real-time updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,847
- + 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 @Kameron_Hay reveals an well-established Twitter presence with 14,847 followers. The account demonstrates a content-creator strategy, averaging 155.2 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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