Tunç Soyer
İzmir Büyükşehir Belediye Başkanı I Mayor of İzmir Metropolitan Municipality | For tweets in English: @soyertunc_en
1,703,212
Followers
630
Following
10,531
Tweets
2,851.6
Avg Engagement
818
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tuncsoyer'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:2010-12-06
- Verification:No
- Location:İzmir, Türkiye
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:2,581.3
- Avg Retweets per Tweet:270.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account maintains a strong presence with a verified status of 0.2%, indicating a level of official recognition.
2,581.3
Avg Likes/Tweet
270.3
Avg Retweets/Tweet
8,384,092
Total Likes
878,026
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,112
Median Likes
86
Median Retweets
2,466
75th Percentile
231,792
Top Tweet
1.67
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
85.9%
Original
5.6%
Replies
4.2%
Retweets
4.4%
Quotes
0.0%
Threads
0.0%
With Media
84.6%
With Links
9.9%
With #Tags
14.6%
With @Mentions
17.2%
With Emojis
219
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
1.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 135 retweets (4% 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 3,248 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 is also interested in social media engagement and real-time updates on municipal activities.
Below Average
Audience Quality
40.8%
Suspicion Index
67.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
79.5%
Empty Bio
65.8%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
75.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
54.5%
<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.
10,221,150
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.4%
>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).
17.1%
Creators
8,542 accounts
17.1%
Consumers
8,570 accounts
65.8%
Dormant
32,888 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):
163
Verified Followers
0.16% of total
9,864
Protected Accounts
9.86% of total
2 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 |
|---|---|---|---|
| @KucukkayaIsmail | 4,413,519 | Journalist | Gazeteci, Ismail Kucukkaya, Haber |
| @Yilmaz_Ozdill | 3,122,472 | Columnist | Politics, Journalism, Writing |
| @Doarutkay | 2,017,558 | Oyuncu | Acting, Nature, Official Account |
| @SermiyanMidyat | 1,194,548 | Actor | Movies, Acting, Comedy |
| @gonca_vuslateri | 704,012 | Actress | Acting, Writing, Singing |
| @ali_hakan_kara | 382,176 | İktisatçı | Economics, Academia, Central Bank |
| @Figenozavci | 298,342 | Economist | Finance, Fibonacci, Economics |
| @SonerGokten | 220,686 | Accountant | Accounting, Finance, University |
| @sehrazatmusic | 206,259 | Musician | Music, Songwriting, Storytelling |
| @antihistamink | 180,653 | Doctor | Medicine, Allergies, Health |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
19,304
Followers With Bio
80,696
Followers Without Bio
19.3%
% With Bio
80.7%
% 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 3,248 analyzed523,418
Combined Engagement
485,108
Total Likes
38,310
Total Retweets
104,684
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Enginlere sığmaz taşarız. 🇹🇷 #9Eylül https://t.co/ENVyYr1ohR
Melih Bey, "Bu kriz 6 ay sonra çözülür” demişti. Haklıymış, çözüldü. 👍🏻
https://t.co/pW8KmkKh0f
Bu toprakların hasret kaldığı yepyeni bir dönem başlıyor... Gençlerimizin hayal kurabildiği, tüm farklılıkların zenginliğe dönüştüğü, düşüncelerin özgürlükle yeşerdiği, doğanın zulüm görmediği bir gelecek çok yakın. Bu geleceğin peşindeyiz. @kilicdarogluk
Sevgili @tarkan, İzmir’e çok yakıştın.😊 #9Eylül https://t.co/m255sX7hZk
Key Insights & Takeaways
The mayor frequently uses hashtags and links to share important announcements and updates. Tweets often reference current events and public figures, indicating a focus on political and social issues. High engagement suggests a strong connection with the audience and effective communication strategies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,703,212
- + 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 @tuncsoyer reveals an exceptionally influential Twitter presence with 1,703,212 followers. The account demonstrates a content-creator strategy, averaging 2,851.6 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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