Sead Kolašinac
Atalanta Bergamo | Bosnia & Herzegovina 🇧🇦 | My eSports team @gg_gamma 🎮
351,127
Followers
148
Following
226
Tweets
8,002.4
Avg Engagement
764
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @seadk6'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:2016-01-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:225
- Avg Likes per Tweet:7,136.1
- Avg Retweets per Tweet:866.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 225 tweetsThe user's tweets receive high engagement, with an average of 50,261 likes and 6,510 retweets, indicating a highly interactive and supportive community. Their content is well-received and often shared.
7,136.1
Avg Likes/Tweet
866.4
Avg Retweets/Tweet
1,605,616
Total Likes
194,933
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4,313
Median Likes
431
Median Retweets
8,911
75th Percentile
232,956
Top Tweet
22.79
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
76.4%
Original
4.9%
Replies
13.8%
Retweets
4.9%
Quotes
0.0%
Threads
0.4%
With Media
91.1%
With Links
84.4%
With #Tags
68.0%
With @Mentions
89.3%
With Emojis
118
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
64.4%
Weekday Posts
35.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 225 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 31 retweets (14% 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 225 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 sports and gaming enthusiasts, likely from Bosnia & Herzegovina and other regions with a strong eSports culture. They are interested in team support and motivational content.
Average
Audience Quality
27.8%
Suspicion Index
29.8%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.7%
Empty Bio
37.2%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
64.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
23.9%
<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.
26,084,348
Total Potential Reach
18
Median Follower Reach
89
75th Percentile Reach
3.2%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.7%
Creators
19,356 accounts
24.1%
Consumers
12,053 accounts
37.2%
Dormant
18,591 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):
150
Verified Followers
0.15% of total
5,972
Protected Accounts
5.91% 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 |
|---|---|---|---|
| @jackwhitehall | 6,058,418 | Actor/Comedian | Comedy, Acting, Entertainment |
| @OM_Officiel | 4,298,951 | Football Club | Football, Sports, Community |
| @willianborges88 | 3,683,743 | Footballer | Football, Arsenal, Brazil |
| @benjyfishy | 1,869,633 | Professional Gamer | Fortnite, NRGgg, World Cup |
| @Ligue1_ENG | 1,046,544 | Sports Media | Football, French league, Champions Trophy |
| @s04 | 781,782 | Football Club | Football, Bundesliga, International |
| @MustafiOfficial | 769,866 | Footballer | Football, Sports, Soccer |
| @kierantierney1 | 630,915 | Footballer | football, adidas, animals |
| @EddieNketiah9 | 610,847 | Footballer | Football, Arsenal, Nike |
| @gabimartinelli | 597,426 | Footballer | Football, ⚽️, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,755
Followers With Bio
35,244
Followers Without Bio
65.1%
% With Bio
34.9%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 225 analyzed418,734
Combined Engagement
375,683
Total Likes
43,051
Total Retweets
83,747
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
👊🏼 Think we‘re fine 😁 #M1Ö #SeoKol https://t.co/tKRlM0LGMl
I wish my team all the best for the next six months! 💪🏻 Thanks for everything! 👍🏻 Stay strong, stay safe and stay healthy! 👋🏻 @arsenal https://t.co/KEHZrMwMgB
Abi, you deserved this! 〽️💪🏻 Show them that you’re an outstanding playmaker and #GibGäs in Istanbul! 🍀❤️ Always on your side! 👊🏻 We’ll keep in touch off- and online 🤝🎮 @MesutOzil1088 https://t.co/VRCXiJ3NSq
Guess who‘s back 🤔👊🏻 It’s three for us! 💪🏻 Strong start into 2️⃣0️⃣2️⃣0️⃣💥🔥 #ARSMUN #GibGäs #SeoKol @Arsenal @premierleague https://t.co/TvMwHx7MTK
Eid Mubarak everyone! Bajram Šerif Mubarek Olsun! 🕋⭐🌙🐑 #SeoKol https://t.co/YFWSg1uonz
Key Insights & Takeaways
The user frequently supports athletes and teams, showing a strong sense of loyalty and encouragement. They use emojis and hashtags to enhance the emotional tone of their tweets, making them more relatable and engaging. Their content often includes personal messages and well-wishes, which resonate well with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 351,127
- + 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 @seadk6 reveals an exceptionally influential Twitter presence with 351,127 followers. The account demonstrates a content-creator strategy, averaging 8,002.4 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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