POWR Zeeyadx
ONE OF A KIND | Content Creator : @POWResports❤️ : [email protected]
203,015
Followers
759
Following
33,330
Tweets
544.1
Avg Engagement
43
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Zeeyadx'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:2015-03-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:365.9
- Avg Retweets per Tweet:178.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,201 tweetsZeeyadx's tweets receive high engagement, with an average of 2,296 likes and 1,182 retweets per post.
365.9
Avg Likes/Tweet
178.3
Avg Retweets/Tweet
1,171,123
Total Likes
570,620
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
354
Median Likes
6
Median Retweets
520
75th Percentile
174,062
Top Tweet
2.68
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
57.4%
Original
27.6%
Replies
7.3%
Retweets
7.7%
Quotes
0.0%
Threads
0.0%
With Media
35.4%
With Links
5.1%
With #Tags
34.1%
With @Mentions
27.7%
With Emojis
50
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.48
Reply/Original Ratio
1.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 235 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 3,201 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 followersTheir audience appears to be primarily young, male, and interested in gaming, sports, and social media trends.
Below Average
Audience Quality
38.6%
Suspicion Index
48.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.7%
Empty Bio
52.8%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
88.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.1%
No URL
32.5%
<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.
18,341,175
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
19.6%
Creators
9,819 accounts
27.6%
Consumers
13,791 accounts
52.8%
Dormant
26,390 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):
94
Verified Followers
0.09% of total
9,913
Protected Accounts
9.82% of total
2 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 | 14,100,792 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,333,760 | Restaurateur | Food, Travel, Influencer |
| @almousa_su | 773,709 | Writer | History, Writing, Military |
| @Azoz_Alzamil | 588,652 | Content Creator | Content Creator, Presenter, OnDemandAA |
| @Nawaf_STATS | 547,684 | Statistician | statistics, data analysis, advertising |
| @Glory19MU | 531,358 | Influencer | Adventure, Dream, Life |
| @FH_MHY | 483,852 | Writer | literature, football, Juventus |
| @AzizSamily | 454,218 | YouTuber | Entertainment, Fatherhood, Merchandise |
| @1NotNaS | 430,873 | Influencer | Art, Nature, Poetry |
| @3GamingSA | 407,463 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,538
Followers With Bio
59,454
Followers Without Bio
41.13%
% With Bio
58.87%
% 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 3,201 analyzed410,508
Combined Engagement
0
Total Likes
410,508
Total Retweets
82,102
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @PSG_inside: 👀 https://t.co/y5IbqL69Z4
RT @Alhilal_FC: 🤷🏻♂️ كااااايد.. وبالركاااادة! https://t.co/HCjVmbPt5z
RT @Alhilal_FC: ✍🏼 كنووووو هلاااااالي أول وتالي💪🏻💙 https://t.co/XmLjW3FuOg
RT @Alhilal_FC: بالركاااادة 🤷🏻♂️ https://t.co/ehYJpJzI8P
RT @brfootball: Built different 🐐 https://t.co/m5dOaHqryE
Key Insights & Takeaways
They frequently express gratitude and appreciation for their followers and collaborators. They promote their YouTube channel and other accounts, encouraging interaction. Their content often includes emotional and heartfelt messages, which resonate with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 203,015
- + 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 @Zeeyadx reveals an well-established Twitter presence with 203,015 followers. The account demonstrates a content-creator strategy, averaging 544.1 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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