Zaven
Television Personality | Talk Show Host & Producer | Media Consultant | Best-Selling Author | https://t.co/7T0foWkz39 https://www.zavenonline.com/ and more.
89.228
Followers
1.356
Following
35.533
Tweets
262,5
Avg Engagement
184
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Zaven_K'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:2009-05-29
- Verification:No
- Location:Lebanon
Data Summary
- Tweets Analyzed:3.187
- Avg Likes per Tweet:6,5
- Avg Retweets per Tweet:256,0
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.187 tweetsHis tweets typically receive around 472 likes and 83 retweets on average, indicating a moderate level of engagement. The inclusion of hashtags and mentions suggests an effort to boost visibility.
6,5
Avg Likes/Tweet
256,0
Avg Retweets/Tweet
20.848
Total Likes
815.714
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
14
75th Percentile
546.541
Top Tweet
2,94
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26,5%
Original
11,5%
Replies
60,3%
Retweets
1,7%
Quotes
0,0%
Threads
0,9%
With Media
71,4%
With Links
49,8%
With #Tags
82,6%
With @Mentions
19,7%
With Emojis
151
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,43
Reply/Original Ratio
0,03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,0%
Weekday Posts
28,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.187 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 1.923 retweets (60% 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 3.187 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 10.000 followersHis audience includes fans of his TV shows, media professionals, and readers interested in his books. The mix of personal and professional content suggests a broad and engaged following.
Average
Audience Quality
29,3%
Suspicion Index
36,2%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49,7%
Empty Bio
33,8%
<10 Tweets
11,3%
Mass Following (>2K)
0,0%
New (<90 days)
62,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
94,1%
No URL
22,7%
<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.
9.128.978
Total Potential Reach
27
Median Follower Reach
127
75th Percentile Reach
5,8%
>1K followers
1,0%
>10K followers
0,3%
>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).
41,2%
Creators
4.119 accounts
25,0%
Consumers
2.501 accounts
33,8%
Dormant
3.380 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):
64
Verified Followers
0.64% of total
940
Protected Accounts
9.4% 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 |
|---|---|---|---|
| @SinghLions | 1.330.436 | Restaurateur | Food, Travel, Influencer |
| @wiamwahhab | 1.046.242 | Politician | Politics, Environment, Leadership |
| @4zahri | 354.960 | Graphic Designer | infographics, shawarma, news |
| @Lebanon24 | 343.000 | News Outlet | News, Lebanon, International |
| @barcastat | 193.567 | Sports Analyst | Football, Barcelona, Stats |
| @khalediskef | 140.724 | - | - |
| @souheildiab | 134.862 | Writer | Resistance, Truth, Jihad |
| @Reem_Khalifa | 121.890 | Journalist | journalism, media, freedom |
| @seifsbei | 113.215 | Director | Director, Actor, Singing |
| @ayaabdullah | 109.934 | Activist | Religion, Egypt, Sisterhood |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5.033
Followers With Bio
4.967
Followers Without Bio
50.33%
% With Bio
49.67%
% 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 3.187 analyzed717.137
Combined Engagement
0
Total Likes
717.137
Total Retweets
143.427
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @kingsthings: https://t.co/x0Hl0X6vqU
RT @elonmusk: 24,400 tweets per second for France’s goal, highest ever for World Cup!
RT @TIME: TIME's new cover: What @serenawilliams gave the world https://t.co/GYx4NskwHZ https://t.co/gxxXj5ABWf
RT @BBCBreaking: Prince of Wales, 71, tests positive for coronavirus and has mild symptoms "but otherwise remains in good health" https://t.co/cQWwM4rHmP
Key Insights & Takeaways
He frequently shares news and current events, often with emotional or sensitive topics. Personal reflections and quotes are common, indicating a focus on authenticity and connection. Promotional content for his work, including books and media projects, is a regular part of his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89.228
- + 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 @Zaven_K reveals an well-established Twitter presence with 89.228 followers. The account demonstrates a content-creator strategy, averaging 262,5 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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