95,419
Followers
13
Following
121
Tweets
7,259.3
Avg Engagement
153
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alperennsengun'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:2019-03-02
- Verification:Yes
- Location:Türkiye
Data Summary
- Tweets Analyzed:109
- Avg Likes per Tweet:6,935.7
- Avg Retweets per Tweet:323.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 109 tweetsHis tweets receive high engagement, with an average of 18,317 likes and 715 retweets per tweet, indicating a highly interactive and loyal fan base.
6,935.7
Avg Likes/Tweet
323.6
Avg Retweets/Tweet
755,994
Total Likes
35,273
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5,018
Median Likes
200
Median Retweets
9,965
75th Percentile
38,689
Top Tweet
76.08
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
47.7%
Original
10.1%
Replies
13.8%
Retweets
28.4%
Quotes
0.0%
Threads
0.9%
With Media
75.2%
With Links
10.1%
With #Tags
25.7%
With @Mentions
58.7%
With Emojis
80
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
2.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
53.2%
Weekday Posts
46.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 109 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 15 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 109 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 primarily Turkish, with a focus on younger, socially active individuals interested in entertainment and personal stories.
Good
Audience Quality
19.9%
Suspicion Index
29.0%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.0%
Empty Bio
17.1%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
44.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
11.1%
<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.
60,923,829
Total Potential Reach
46
Median Follower Reach
152
75th Percentile Reach
3.7%
>1K followers
0.5%
>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).
64.6%
Creators
32,318 accounts
18.3%
Consumers
9,126 accounts
17.1%
Dormant
8,556 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):
554
Verified Followers
0.58% of total
16,529
Protected Accounts
17.41% of total
7 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 |
|---|---|---|---|
| @NBA | 42,862,030 | Sports Media | Basketball, Sports, Entertainment |
| @JohnCena | 14,105,721 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mcuban | 8,859,470 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @NBATV | 6,503,092 | Sports Media | Basketball, NBA, Sports |
| @HoustonRockets | 3,250,694 | Sports Team | Basketball, Houston, NBA |
| @nikebasketball | 2,556,439 | Sports Brand | Basketball, Community, World |
| @JAYVERSACE | 1,647,481 | Entertainer | olorisa, obatalá, afrotunes |
| @hasanthehun | 1,387,814 | Streamer | thirst traps, anarchy, streaming |
| @mehmetdemirkolb | 1,353,695 | Sportscaster | sport, mevzular, sportif |
| @SLAMonline | 1,338,347 | Sports Media | Basketball, Sneakers, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,092
Followers With Bio
41,852
Followers Without Bio
55.92%
% With Bio
44.08%
% 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 109 analyzed154,791
Combined Engagement
149,498
Total Likes
5,293
Total Retweets
30,958
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
What a night!? 🚀 https://t.co/9ChU78Ag3o
🤦♂️🤦♂️🤦♂️ https://t.co/fDYgNX1OBX
About last night! https://t.co/LosGuPkj0P
History! 🙏 https://t.co/PD3lIAnjrO
Şey mi dostum, yine yangınlar yine ben! 😂🌪 https://t.co/VPGD2MKSKN
Key Insights & Takeaways
His content often includes personal milestones and gratitude towards supporters, which fosters a sense of community and loyalty. He uses humor and emojis to make his tweets more relatable and engaging. His tweets frequently reference past experiences and future plans, showing a balance between nostalgia and excitement for new opportunities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 95,419
- + 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 @alperennsengun reveals an exceptionally influential Twitter presence with 95,419 followers. The account demonstrates a content-creator strategy, averaging 7,259.3 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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