Oguzhan Ozyakup
Official Twitter Account of Oguzhan Ozyakup Professional Football Player at Beşiktaş Instagram : https://www.instagram.com/accounts/login/?next=https%3A%2F%2Fwww.instagram.com%2Fozyakup%2F&is_from_rle
347.591
Followers
66
Following
179
Tweets
1.627,5
Avg Engagement
749
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ozyakup'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:2011-04-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:288
- Avg Likes per Tweet:1.255,1
- Avg Retweets per Tweet:372,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 288 tweetsThe account shows high engagement with an average of 13,600 likes and 2,370 retweets per tweet. Content often includes personal moments and football highlights.
1.255,1
Avg Likes/Tweet
372,4
Avg Retweets/Tweet
361.470
Total Likes
107.256
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
139
Median Retweets
1.084
75th Percentile
48.870
Top Tweet
4,68
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
66,3%
Original
4,5%
Replies
28,8%
Retweets
0,3%
Quotes
0,0%
Threads
0,3%
With Media
58,3%
With Links
29,5%
With #Tags
44,8%
With @Mentions
15,6%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,07
Reply/Original Ratio
0,01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,3%
Weekday Posts
24,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 288 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 83 retweets (29% 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 288 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 followersThe audience primarily consists of football fans and followers of Ozyakup's career. They are likely interested in sports news and player updates.
Average
Audience Quality
27,9%
Suspicion Index
39,6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52,3%
Empty Bio
39,4%
<10 Tweets
4,6%
Mass Following (>2K)
0,0%
New (<90 days)
55,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
95,5%
No URL
26,9%
<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.
26.075.886
Total Potential Reach
11
Median Follower Reach
63
75th Percentile Reach
2,8%
>1K followers
0,2%
>10K followers
0,0%
>50K followers
0,0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
37,0%
Creators
18.476 accounts
23,7%
Consumers
11.841 accounts
39,4%
Dormant
19.683 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):
80
Verified Followers
0.08% of total
12.236
Protected Accounts
12.12% 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 | 14.103.629 | Wrestler | Wrestling, Motivation, Self-promotion |
| @erenerdemnet | 1.709.083 | Politician | Gazeteci, Yazar, Demokrat |
| @BesiktasOrdusu | 928.555 | Fan Account | Football, Beşiktaş, Supporter |
| @Ryanbabel | 739.310 | Footballer | Football, Music, Activism |
| @gizlikitaplik | 525.198 | Book Blogger | culture, art, literature |
| @wefollowbackd | 457.137 | Football Blogger | Football, News, Sport |
| @Daminous_Purity | 353.911 | Minister | WWE, NFL, FIFA |
| @erbature | 305.541 | Journalist | Sports, Journalism, Correspondent |
| @naciabuska | 240.622 | Influencer | nacizm, umut, dul bayanlar |
| @Warx2TheMovie | 230.392 | Filmmaker | Military, Suicide, Terrorism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42.032
Followers With Bio
58.966
Followers Without Bio
41.62%
% With Bio
58.38%
% 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.
Buy Follower Data
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 288 analyzed126.002
Combined Engagement
112.626
Total Likes
13.376
Total Retweets
25.200
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
@Besiktas Gidilecek çok deplasman var. 🦅
Cenk Tosun ⚽️
https://t.co/9ZFfp03V4Q
#tbt https://t.co/3fSHpIC97H
Feda sezonundan bugune geldik... https://t.co/tjaCZaCKDC
Key Insights & Takeaways
The account frequently shares personal moments and football highlights Content includes links to Instagram and other social media platforms Engagement is driven by a mix of likes and retweets, indicating a loyal fan base
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 347.591
- + 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 @Ozyakup reveals an exceptionally influential Twitter presence with 347.591 followers. The account demonstrates a content-creator strategy, averaging 1.627,5 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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