Kemoko Turay
success is one thing, but dedication is everything. ig: Kdragon57 . 6'6 position :Defensive End for the 49ers . Kemodo Dragon 🐲
10445
Followers
201
Following
673
Tweets
800,7
Avg Engagement
100
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kturay_58'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:2013-12-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:649
- Avg Likes per Tweet:103,7
- Avg Retweets per Tweet:696,9
- Followers Analyzed:10687
Engagement Analysis
Based on 649 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his personal and professional updates.
103,7
Avg Likes/Tweet
696,9
Avg Retweets/Tweet
67326
Total Likes
452305
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
52
75th Percentile
274525
Top Tweet
76,66
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
53,0%
Original
23,9%
Replies
21,6%
Retweets
1,5%
Quotes
0,0%
Threads
0,0%
With Media
37,4%
With Links
27,3%
With #Tags
54,5%
With @Mentions
30,0%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,45
Reply/Original Ratio
0,07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69,6%
Weekday Posts
30,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 649 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 140 retweets (22% 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 649 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 10687 followersHis audience primarily consists of sports fans and supporters who are invested in his recovery and career journey.
Good
Audience Quality
17,5%
Suspicion Index
20,8%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35,8%
Empty Bio
9,6%
<10 Tweets
13,2%
Mass Following (>2K)
0,0%
New (<90 days)
38,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,2%
No URL
5,7%
<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.
41105558
Total Potential Reach
92
Median Follower Reach
293
75th Percentile Reach
8,2%
>1K followers
1,5%
>10K followers
0,5%
>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).
75,6%
Creators
8075 accounts
14,8%
Consumers
1585 accounts
9,6%
Dormant
1027 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):
143
Verified Followers
1.34% of total
1055
Protected Accounts
9.87% 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 | 14106718 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201287 | - | - |
| @49ers | 2414150 | Sports Team | Football, Champions, San Francisco |
| @BeatsByAssassin | 2267213 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2038886 | - | - |
| @SInow | 1859137 | Sports Media | Sports, TikTok, Instagram |
| @LILBTHEBASEDGOD | 1251114 | Rapper | Music, Writing, Film |
| @LeBronJames | 1006957 | - | - |
| @CoachSchuman | 589457 | Football Coach | Football, Recruiting, Motivation |
| @JimIrsay | 512360 | Owner | Sports, Music, Philanthropy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6856
Followers With Bio
3831
Followers Without Bio
64.15%
% With Bio
35.85%
% 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 649 analyzed411689
Combined Engagement
0
Total Likes
411689
Total Retweets
82338
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @josholzz: Damn Daniel https://t.co/Va10hmpePO
RT @ooFUTURISTICoo: PENN STATE FOOTBALL MANNEQUIN CHALLENGE #IowaBeat https://t.co/DIq5UewJ4u
RT @Wavy_FBaby: can’t even flex. this shit beautiful. http://t.co/B0D1T11sm0
RT @DeMarcusWare: It's time .... https://t.co/qlXpcNn12b
RT @kylekuzma: This shows you that there are a lot of people & companies out there right now that will say they stand with us but only do it so they dont get bashed not because they mean it. https://t.co/DB3wF4JdKB
Key Insights & Takeaways
He frequently shares personal updates about his recovery journey, which resonates well with his followers. He emphasizes gratitude and dedication, which are key themes in his communication. His engagement metrics suggest a loyal and active fan base that supports him through challenges.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10445
- + 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 @Kturay_58 reveals an well-established Twitter presence with 10445 followers. The account demonstrates a content-creator strategy, averaging 800,7 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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