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21,167
Followers
683
Following
3,795
Tweets
152.2
Avg Engagement
80
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlekoGabuniya'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: Mid-Tier (10K+)
- Account Age:2016-10-27
- Verification:No
- Location:Philadelphia, PA
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:100.6
- Avg Retweets per Tweet:51.6
- Followers Analyzed:22,325
Engagement Analysis
Based on 597 tweetsOn average, his tweets receive 2,733 likes and 92 retweets, indicating a strong level of interaction with his followers. His verified status is relatively low at 1.5%, suggesting a mix of personal and community-driven content.
100.6
Avg Likes/Tweet
51.6
Avg Retweets/Tweet
60,038
Total Likes
30,821
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
0
Median Retweets
63
75th Percentile
25,139
Top Tweet
7.19
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
22.1%
Original
70.9%
Replies
6.7%
Retweets
0.3%
Quotes
0.0%
Threads
0.2%
With Media
19.8%
With Links
1.2%
With #Tags
78.4%
With @Mentions
7.9%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.2
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 40 retweets (7% 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 597 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 22,325 followersHis audience primarily consists of Valorant players and esports enthusiasts interested in competitive strategies and game mechanics. They engage with his content through likes and retweets.
Average
Audience Quality
24.4%
Suspicion Index
25.5%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
21.6%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
70.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.7%
No URL
13.3%
<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.
18,372,903
Total Potential Reach
17
Median Follower Reach
64
75th Percentile Reach
3.1%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
54.7%
Creators
12,213 accounts
23.7%
Consumers
5,297 accounts
21.6%
Dormant
4,815 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):
325
Verified Followers
1.46% of total
2,839
Protected Accounts
12.72% 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 |
|---|---|---|---|
| @ShahZaMk | 482,722 | Valorant Player | Valorant, Sentinels, Gaming |
| @Hiko | 435,472 | Content Creator | Gaming, Esports, Content Creation |
| @Asunaa | 427,636 | Gamer | VALORANT, Gaming, Competitive |
| @LaurenOrlando | 418,631 | Influencer | podcast, she/her, listen |
| @Slasher | 386,319 | Esports Consultant | esports, gaming, internet culture |
| @sinatraa | 382,926 | Esports Player | Valorant, Gaming, Esports |
| @yay | 353,675 | - | - |
| @ZexRow | 333,425 | Gamer | Gaming, Business, France |
| @PowerGPU | 313,527 | Entrepreneur | Gaming, Entrepreneurship, Custom PCs |
| @zombs | 313,188 | Professional Gamer | Gaming, Valorant, X Games |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,912
Followers With Bio
8,413
Followers Without Bio
62.32%
% With Bio
37.68%
% 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 597 analyzed44,134
Combined Engagement
18,454
Total Likes
25,680
Total Retweets
8,827
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
RT @aliyahInterlude: i wonder why they stoped making dystopian society movies, hunger games & divergent were so cute & fun
Just a friendly reminder you had to hold this against 5 people running at you https://t.co/puxkkfg24q
Sova shock darts no longer break Cypher trips Chamber trips or Killjoy molly
https://t.co/jgH8cB0jRR
Why are the casters asking why Yay didn't show up. Is the man not allowed 1 bad game. He is one of the reasons they are there.
Key Insights & Takeaways
He frequently shares gameplay tips and strategies, which resonate well with his audience. His tweets often include links to game-related content, indicating a focus on providing value through actionable information. He uses Twitter to highlight specific in-game mechanics and updates, which helps maintain relevance and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 21,167
- + High community engagement through conversations
- + 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 @AlekoGabuniya reveals an well-established Twitter presence with 21,167 followers. The account demonstrates a conversation-first approach, averaging 152.2 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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