OKUNG 🕊️
I left the @NFL for a spiritual experience. Life is a game, be the toughest player on the field. No medical advice.
256,828
Followers
810
Following
9,119
Tweets
1,122.3
Avg Engagement
1,901
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RussellOkung'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:2010-04-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:916.7
- Avg Retweets per Tweet:205.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsHis tweets consistently receive high likes and retweets, indicating strong audience interaction. The nature of his content encourages discussion and debate, further boosting engagement.
916.7
Avg Likes/Tweet
205.7
Avg Retweets/Tweet
2,926,915
Total Likes
656,697
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
53
Median Likes
10
Median Retweets
869
75th Percentile
77,804
Top Tweet
4.37
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
41.3%
Original
37.4%
Replies
9.5%
Retweets
11.9%
Quotes
0.0%
Threads
0.1%
With Media
24.1%
With Links
7.0%
With #Tags
53.8%
With @Mentions
15.6%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.91
Reply/Original Ratio
1.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.1%
Weekday Posts
21.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 302 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 3,193 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 50,000 followersHis audience includes fans of his NFL career, spiritual seekers, and individuals interested in social commentary. The mix of personal experience and public critique attracts a diverse group of followers.
Good
Audience Quality
19.6%
Suspicion Index
20.7%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.2%
Empty Bio
13.3%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
44.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.6%
No URL
8.3%
<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.
105,159,508
Total Potential Reach
79
Median Follower Reach
290
75th Percentile Reach
9.6%
>1K followers
1.4%
>10K followers
0.4%
>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).
70.0%
Creators
35,007 accounts
16.6%
Consumers
8,321 accounts
13.3%
Dormant
6,672 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):
2,832
Verified Followers
2.8% of total
11,917
Protected Accounts
11.8% 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 |
|---|---|---|---|
| @SnoopDogg | 20,938,688 | Rapper | music, cannabis, entertainment |
| @JohnCena | 14,101,198 | Wrestler | Wrestling, Motivation, Self-promotion |
| @swish41 | 3,478,413 | - | - |
| @justinsuntron | 3,452,360 | Entrepreneur | Cryptocurrency, Blockchain, Technology |
| @saylor | 3,018,576 | Entrepreneur | Bitcoin, Hodler, Aerospace |
| @Casey | 2,078,037 | YouTuber | family, work |
| @jakeowen | 2,076,712 | Musician | Country music, Florida, Outdoors |
| @hodgetwins | 1,929,833 | Comedians | Merch, Giveaways, Podcast |
| @JManziel2 | 1,890,391 | Athlete | Football, Good vibes |
| @Cointelegraph | 1,890,040 | Crypto News | Bitcoin, Ethereum, blockchain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,699
Followers With Bio
33,298
Followers Without Bio
67.03%
% With Bio
32.97%
% 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 3,193 analyzed287,446
Combined Engagement
184,251
Total Likes
103,195
Total Retweets
57,489
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Teach your children to fact-check the fact checkers.
RT @Kaepernick7: I’m just getting word from my representatives that the NFL league office reached out to them about a workout in Atlanta on…
https://t.co/E7ZNhUa7hu
Coincidentally, California lifts #COVID19 stay-at-home order just days after President Joe Biden took office. Politics are being played with your life.
Teach your children that rights are not gifts from the government.
Key Insights & Takeaways
Okung's tweets often challenge societal norms and encourage critical thinking. He uses personal experience to connect with his audience on a deeper level. His content is designed to provoke reflection rather than simply entertain.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 256,828
- + 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 @RussellOkung reveals an exceptionally influential Twitter presence with 256,828 followers. The account demonstrates a content-creator strategy, averaging 1,122.3 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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