Charles Oakley
🏀Retired #NBA All Star focused on giving back, cooking for the people. Coach, @theBig3, Founder, @charlesoakleyf1, #OakOutHunger
84.135
Followers
501
Following
5.862
Tweets
148,7
Avg Engagement
1.201
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CharlesOakley34'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:2010-04-15
- Verification:No
- Location:Everywhere
Data Summary
- Tweets Analyzed:3.184
- Avg Likes per Tweet:112,1
- Avg Retweets per Tweet:36,6
- Followers Analyzed:10.997
Engagement Analysis
Based on 3.184 tweetsHis tweets receive high engagement, with an average of 13,892 likes and 4,384 retweets, indicating a loyal and active fan base. His verified status also contributes to trust and credibility.
112,1
Avg Likes/Tweet
36,6
Avg Retweets/Tweet
356.918
Total Likes
116.457
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
8
75th Percentile
36.581
Top Tweet
1,77
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
54,8%
Original
35,0%
Replies
9,0%
Retweets
1,2%
Quotes
0,0%
Threads
0,1%
With Media
37,4%
With Links
10,1%
With #Tags
79,1%
With @Mentions
2,1%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,64
Reply/Original Ratio
0,14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77,4%
Weekday Posts
22,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.184 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 285 retweets (9% 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 3.184 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 10.997 followersHis audience includes basketball fans, especially those interested in community work and mentorship. Followers are likely to be fans of his past career and supporters of his current initiatives.
Average
Audience Quality
25,2%
Suspicion Index
23,1%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38,8%
Empty Bio
12,4%
<10 Tweets
26,6%
Mass Following (>2K)
0,0%
New (<90 days)
56,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
86,3%
No URL
7,4%
<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.
32.789.377
Total Potential Reach
78
Median Follower Reach
264
75th Percentile Reach
8,0%
>1K followers
1,6%
>10K followers
0,6%
>50K followers
0,3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70,9%
Creators
7.794 accounts
16,8%
Consumers
1.842 accounts
12,4%
Dormant
1.361 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):
134
Verified Followers
1.22% of total
1.502
Protected Accounts
13.66% 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 | 14.097.197 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JCrossover | 1.649.299 | Basketball Player | Basketball, Identity, Love |
| @officialdwts | 1.000.110 | Entertainment | Dancing, Stars, TV |
| @iownjd | 771.460 | Lawyer | learn, inspire, engage |
| @KendrickPerkins | 694.072 | Basketball Player | Basketball, Country, Individualism |
| @garettnelson | 649.123 | Entrepreneur | Travel, Investing, Adventure |
| @JmCalderon | 486.908 | Basketball Analyst | Family, Humility, Sacrifice |
| @Lukewearechange | 422.371 | Journalist | politics, activism, journalism |
| @GuyAdami | 380.437 | TV Personality | Trading, Podcasting, Triathlons |
| @CherylBurke | 372.388 | Dancer | Mental Health, Recovery, Dancing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.735
Followers With Bio
4.264
Followers Without Bio
61.23%
% With Bio
38.77%
% 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 3.184 analyzed114.543
Combined Engagement
92.440
Total Likes
22.103
Total Retweets
22.909
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
I went to war with you for ten years. I won’t leave you on the battlefield now. Get well Patrick. More fights ahead. @CoachEwing33 #BrothersFight #PatrickEwing #GetWellBrother https://t.co/1ZkR03bccc
I still can’t be in the same room with this man https://t.co/WxIeXHFGTo
No player in the history of the game has put together the body of work Lebron has.
Stop flopping and play basketball
I love NYC I LOVE the Knicks that you for all your love .. I will be holding a Press conference next week Let's go Knicks
Key Insights & Takeaways
He emphasizes loyalty and brotherhood, especially in his interactions with fellow athletes like Patrick Ewing. He uses personal experiences to connect with his audience and promote his initiatives. His content often blends personal reflection with calls to action, encouraging community involvement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84.135
- + 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 @CharlesOakley34 reveals an well-established Twitter presence with 84.135 followers. The account demonstrates a content-creator strategy, averaging 148,7 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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