Gökhan Töre 🇹🇷
Official Twitter Account of Gökhan Töre Professional Football Player
1,198,943
Followers
134
Following
949
Tweets
3,073.8
Avg Engagement
229
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Gokhan_Tore7'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: Mega Influencer (1M+)
- Account Age:2014-12-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:935
- Avg Likes per Tweet:2,729.1
- Avg Retweets per Tweet:344.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 935 tweetsHis tweets receive a significant number of likes and retweets, indicating strong audience interaction and interest.
2,729.1
Avg Likes/Tweet
344.8
Avg Retweets/Tweet
2,551,677
Total Likes
322,352
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,319
Median Likes
114
Median Retweets
2,946
75th Percentile
91,128
Top Tweet
2.56
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
88.7%
Original
2.4%
Replies
8.6%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
83.9%
With Links
40.1%
With #Tags
17.6%
With @Mentions
36.1%
With Emojis
83
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 935 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 80 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 935 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 interested in his career and personal life.
Average
Audience Quality
28.4%
Suspicion Index
38.9%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.8%
Empty Bio
39.7%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
58.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
27.0%
<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.
26,734,935
Total Potential Reach
10
Median Follower Reach
64
75th Percentile Reach
3.0%
>1K followers
0.2%
>10K followers
0.1%
>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).
36.9%
Creators
18,425 accounts
23.4%
Consumers
11,715 accounts
39.7%
Dormant
19,860 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):
87
Verified Followers
0.09% of total
9,903
Protected Accounts
9.81% of total
5 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 | 14,105,496 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,335,164 | Restaurateur | Food, Travel, Influencer |
| @celalcanalgul | 604,372 | Comedian | comedy, seriousness, email marketing |
| @gizlikitaplik | 525,216 | Book Blogger | culture, art, literature |
| @BJKKartalYuvasi | 330,847 | Sports Club | Football, Beşiktaş, Official Account |
| @fdisanto9 | 287,086 | Footballer | Football, International, Clubs |
| @Muratozen1903 | 228,372 | Journalist | Beşiktaş, Taraftar, Yayın yönetmeni |
| @ertansuzgun | 224,672 | Journalist | TV, Reporter, Journalist |
| @jeremainlens | 196,277 | Footballer | Football, Family, Travel |
| @hamzayerlikaya | 189,935 | Wrestler | Family, Turkey, Wrestling |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,388
Followers With Bio
57,611
Followers Without Bio
42.96%
% With Bio
57.04%
% 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 935 analyzed247,251
Combined Engagement
192,572
Total Likes
54,679
Total Retweets
49,450
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Şu an Beşiktaş ile şampiyonluğa odaklanmış durumdayım.
Herkese iyi akşamlar 🤦🏽♂️ https://t.co/H1YWSYAK62
❤️❤️❤️Şampiyon Beşiktaş 🏆 https://t.co/lLLvT1rt34
RT @beINSPORTS_TR: "Bir başkadır benim memleketim..." https://t.co/cipmCNXUry
🦅 https://t.co/zCab5s0Zol
Key Insights & Takeaways
His tweets often highlight his current team and achievements, showing a focus on his professional life. He engages with his audience through personal greetings and expressions of gratitude. The use of emojis and links suggests an effort to connect and share more content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,198,943
- + 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 @Gokhan_Tore7 reveals an exceptionally influential Twitter presence with 1,198,943 followers. The account demonstrates a content-creator strategy, averaging 3,073.8 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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