mackolik
Sporun kalbi Türkiye’nin en büyük stadyumu 𝐌𝐚𝐜𝐤𝐨𝐥𝐢𝐤’te atıyor! 📲💙
1,132,230
Followers
8
Following
219,117
Tweets
342.5
Avg Engagement
951
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mackolik'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:2010-11-05
- Verification:Yes
- Location:iOS & Android
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:335.8
- Avg Retweets per Tweet:6.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a high level of engagement with its followers, indicating a loyal and active audience. The average likes and retweets per tweet suggest that the content is well-received and shared widely.
335.8
Avg Likes/Tweet
6.6
Avg Retweets/Tweet
1,091,474
Total Likes
21,557
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
66
Median Likes
2
Median Retweets
203
75th Percentile
13,645
Top Tweet
0.3
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
78.6%
Original
15.8%
Replies
2.8%
Retweets
2.7%
Quotes
0.0%
Threads
0.0%
With Media
63.4%
With Links
2.6%
With #Tags
6.3%
With @Mentions
71.8%
With Emojis
116
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.96
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
64.1%
Weekday Posts
35.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 92 retweets (3% 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 3,250 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 likely Turkish football fans interested in club news, player updates, and match highlights. The content is tailored to engage with a passionate and informed fan base.
Below Average
Audience Quality
46.3%
Suspicion Index
79.1%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
84.7%
Empty Bio
82.8%
<10 Tweets
0.7%
Mass Following (>2K)
0.0%
New (<90 days)
79.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.3%
No URL
73.5%
<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.
2,363,175
Total Potential Reach
0
Median Follower Reach
3
75th Percentile Reach
0.7%
>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).
7.4%
Creators
3,713 accounts
9.8%
Consumers
4,886 accounts
82.8%
Dormant
41,401 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):
65
Verified Followers
0.07% of total
17,049
Protected Accounts
17.05% of total
1 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 |
|---|---|---|---|
| @MehmetBerkErgin | 1,174,917 | Toplumsal Hizmet Uzmanı | Toplumsal hizmet, sivil toplum, sosyal projeler |
| @LeBronJames | 1,001,238 | - | - |
| @yurumezanaati | 205,039 | Content Creator | Creative Walking, Dialogue, Collaboration |
| @aliosmanyuksel | 120,183 | - | - |
| @_samiyenhaber | 117,597 | News Reporter | News, Experience, Knowledge |
| @ordinaryusbe | 117,353 | Football Fan | Fenerbahçe, YENİ |
| @SerkanRecber_10 | 90,064 | CEO | Football, Leadership, Kasımpaşa |
| @LokmanCagirici | 89,880 | Politician | politics, local government, Istanbul |
| @HsynKrdy | 87,673 | Multitalented | Music, Production, Radio Broadcasting |
| @mwm_66 | 81,831 | Footballer | Football, Winning, Retweet |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,515
Followers With Bio
85,485
Followers Without Bio
14.52%
% With Bio
85.48%
% 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 3,250 analyzed54,873
Combined Engagement
54,254
Total Likes
619
Total Retweets
10,975
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Sizce derbiye hangisi damga vuracak? 🤔 https://t.co/PDqXvJDeaS
A Milli Takım'ın yeni yıldızı: 𝘼𝙧𝙙𝙖 𝙂𝙪̈𝙡𝙚𝙧 🇹🇷✨ https://t.co/tcKuBdY280
Fenerbahçe'nin kalesi 4 yıl daha emin ellerde ✍️ ✨ Aʟᴛᴀʏ Bᴀʏıɴᴅıʀ https://t.co/Zb0tSEecIT
🐐 Kral, Fenerbahçe'nin gol ihtiyacı olduğu her an sahnede. 👑 𝐄𝐧𝐧𝐞𝐫 𝐕𝐚𝐥𝐞𝐧𝐜𝐢𝐚 https://t.co/9UY1Y5sv4B
Miha Zajc, muhteşem bir gol attı 🚀 Bu adam ikinci yarıları çok seviyor 🔥 https://t.co/6t4kdfXeSx
Key Insights & Takeaways
The account frequently highlights key football matches and events, which likely drives engagement. It shares content about Turkish national team players, indicating a focus on national pride and sports achievements. The use of links suggests the account may promote official or affiliated content related to football clubs or events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,132,230
- + 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 @mackolik reveals an well-established Twitter presence with 1,132,230 followers. The account demonstrates a content-creator strategy, averaging 342.5 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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