Volkan Demir
https://www.facebook.com/unsupportedbrowser
191,765
Followers
1,538
Following
5,555
Tweets
631.2
Avg Engagement
498
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @albandemir'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:2009-08-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:610.5
- Avg Retweets per Tweet:20.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsThe account has a high average engagement rate with 13,404 likes and 912 retweets per tweet, indicating a loyal and interactive audience.
610.5
Avg Likes/Tweet
20.6
Avg Retweets/Tweet
1,978,671
Total Likes
66,901
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
123
Median Likes
1
Median Retweets
540
75th Percentile
19,460
Top Tweet
3.29
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
40.1%
Original
46.8%
Replies
1.4%
Retweets
11.7%
Quotes
0.0%
Threads
0.0%
With Media
33.2%
With Links
1.7%
With #Tags
47.6%
With @Mentions
22.6%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
8.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 44 retweets (1% 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 3,241 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 followersAlbandemir's audience appears to be interested in sports, particularly football, and social commentary. They are likely to be active and opinionated users.
Average
Audience Quality
31.8%
Suspicion Index
45.8%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.6%
Empty Bio
40.3%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
67.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
28.0%
<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.
33,183,953
Total Potential Reach
7
Median Follower Reach
41
75th Percentile Reach
2.4%
>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).
35.0%
Creators
17,504 accounts
24.7%
Consumers
12,331 accounts
40.3%
Dormant
20,165 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):
133
Verified Followers
0.13% of total
12,569
Protected Accounts
12.45% 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 |
|---|---|---|---|
| @JohnCena | 14,100,379 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ugurdundarsozcu | 4,980,827 | - | - |
| @SarahAbdelbaky1 | 986,154 | Sports Journalist | Sports, Journalism, Dreams |
| @EdKrassen | 930,009 | Journalist | Politics, Journalism, Author |
| @buzzspor | 669,455 | Sports Media | sports, sharing platform, communication |
| @L9arami | 609,488 | - | - |
| @SabriReyiziniz | 551,550 | Parody Account | Galatasaray, Futbol, Parodi |
| @mkulunk | 448,108 | Politician | Politics, Economy, Technology |
| @ercantofficial | 370,103 | Sports commentator | Spor, Spiker, Gazeteci |
| @NihatKahveci8 | 313,632 | Media influencer | Football, Turkey, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,691
Followers With Bio
61,304
Followers Without Bio
39.3%
% With Bio
60.7%
% 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 3,241 analyzed81,437
Combined Engagement
77,750
Total Likes
3,687
Total Retweets
16,287
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Ali Palabıyık, Jesus değil senin hakemliğin gördü o kırmızı kartı
Görselden kendimi alamıyorum :) https://t.co/8lTLs8FJyY
Golün iptal olma sebebini anlayan varsa yazabilir mi?
Fenerbahçe’ye açıklanan limitin anlaşılması için örnekle anlatayım: Fenerbahçe şu anda bırak yeni futbolcuyu Erol Bulut’u dahi antrenmana çıkaramaz.
Fenerbahçe’nin grubu Galatasaray’ınkinden daha zor dediğimde “Futbol cahili” ilan edenler online mı? https://t.co/Fc0G7cRDTk
Key Insights & Takeaways
The user frequently engages with sports-related topics, especially football matches and incidents. They often ask for opinions and reactions, encouraging audience interaction. Their content is mostly in Turkish, suggesting a primarily Turkish-speaking audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 191,765
- + 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 @albandemir reveals an well-established Twitter presence with 191,765 followers. The account demonstrates a conversation-first approach, averaging 631.2 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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