Murat Dalkılıç
https://www.gigproduction.com/
2.711.083
Followers
680
Following
5.300
Tweets
333,1
Avg Engagement
878
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MuratDalkilic'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:2010-08-28
- Verification:No
- Location:İstanbul
Data Summary
- Tweets Analyzed:3.132
- Avg Likes per Tweet:205,1
- Avg Retweets per Tweet:127,9
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.132 tweetsHis tweets typically receive a high number of likes and retweets, indicating a strong and active audience. The engagement is consistent across his posts.
205,1
Avg Likes/Tweet
127,9
Avg Retweets/Tweet
642.494
Total Likes
400.639
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
52
Median Retweets
354
75th Percentile
58.098
Top Tweet
0,12
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
48,1%
Original
24,2%
Replies
25,9%
Retweets
1,9%
Quotes
0,0%
Threads
0,6%
With Media
41,5%
With Links
17,3%
With #Tags
61,5%
With @Mentions
27,6%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,5
Reply/Original Ratio
0,07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,5%
Weekday Posts
27,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.132 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 811 retweets (26% 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 3.132 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 appears to be interested in casual, relatable content with a touch of humor. They engage with his personal anecdotes and light-hearted tweets.
Below Average
Audience Quality
37,0%
Suspicion Index
51,9%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60,9%
Empty Bio
57,7%
<10 Tweets
4,0%
Mass Following (>2K)
0,0%
New (<90 days)
74,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
96,7%
No URL
42,9%
<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.
14.576.611
Total Potential Reach
4
Median Follower Reach
22
75th Percentile Reach
1,5%
>1K followers
0,1%
>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).
20,4%
Creators
10.196 accounts
21,9%
Consumers
10.944 accounts
57,7%
Dormant
28.860 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):
72
Verified Followers
0.07% of total
15.509
Protected Accounts
15.36% of total
4 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 |
|---|---|---|---|
| @danlabilic | 2.904.067 | - | - |
| @Siir_Sokaktadir | 1.639.775 | Poet | Poetry, Street, Communication |
| @SinghLions | 1.335.428 | Restaurateur | Food, Travel, Influencer |
| @Sinefabrika | 878.286 | Film Critic | films, series, music |
| @eskisarkiIar | 866.210 | Music Blogger | Müzik, Türkiye, Eski şarkılar |
| @fazilsaymusic | 771.451 | Musician | Music, Touring, Works |
| @Sabahattin_Ali_ | 608.561 | Writer | Literature, Book Recommendations, Communication |
| @SeyhEdebali1 | 541.327 | - | - |
| @gizlikitaplik | 525.271 | Book Blogger | culture, art, literature |
| @ctisik | 479.042 | Actor | Technology, Innovation, Entrepreneurship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41.276
Followers With Bio
59.722
Followers Without Bio
40.87%
% With Bio
59.13%
% 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 3.132 analyzed187.932
Combined Engagement
104.010
Total Likes
83.922
Total Retweets
37.586
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
İyi de benim boyum 1.71 değil ki 🤣
RT @Fenerbahce: Kadınlar ve kız çocukları için toplumumuzu aynı noktada olmaya davet ediyoruz. 🔗 https://t.co/Rf9U7o5Ghi https://t.co/qr0S…
RT @haluk_levent: Birazcık hatırım varsa rt yapalım canlarım. NCL hastası toplam 7 çocuk var Türkiye’de. Geçen hafta aileler İle buluştuk.…
Maalesef seninle aynı çatı altında olmaktan gurur duyamadım ve duyamayacağım... https://t.co/GsIeY7F0Pk
Günaydın🙋♂️ #herşeycokgüzelolacak
Key Insights & Takeaways
He uses humor and self-deprecating remarks to connect with his audience His content is relatable and personal, which drives engagement He often shares short, impactful messages that resonate with followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2.711.083
- + 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 @MuratDalkilic reveals an well-established Twitter presence with 2.711.083 followers. The account demonstrates a content-creator strategy, averaging 333,1 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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