Tekkz
Player for @mancity 5x FUT CHAMPS CUP WINNER | ECL WINNER | EPREM WINNER | Club World Cup Champ | Business email: [email protected]
203,762
Followers
593
Following
6,019
Tweets
863.9
Avg Engagement
269
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Tekkz'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:2016-12-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:525.1
- Avg Retweets per Tweet:338.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, showing strong audience interaction. The content is often shared and appreciated, especially when it relates to awards and recognitions.
525.1
Avg Likes/Tweet
338.8
Avg Retweets/Tweet
1,706,103
Total Likes
1,100,762
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
246
Median Likes
4
Median Retweets
667
75th Percentile
220,159
Top Tweet
4.24
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
61.9%
Original
21.3%
Replies
10.3%
Retweets
6.5%
Quotes
0.0%
Threads
0.1%
With Media
33.5%
With Links
4.5%
With #Tags
37.1%
With @Mentions
16.6%
With Emojis
57
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.63
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.9%
Weekday Posts
40.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 335 retweets (10% 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 3,249 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 is primarily interested in gaming, football, and sports achievements. They are likely fans of Manchester City and FUT, as well as followers of professional gaming events.
Average
Audience Quality
25.5%
Suspicion Index
33.0%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
28.4%
<10 Tweets
3.8%
Mass Following (>2K)
0.0%
New (<90 days)
60.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
17.7%
<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.
32,967,868
Total Potential Reach
14
Median Follower Reach
76
75th Percentile Reach
2.8%
>1K followers
0.4%
>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).
46.4%
Creators
23,180 accounts
25.2%
Consumers
12,601 accounts
28.4%
Dormant
14,219 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):
275
Verified Followers
0.27% of total
8,421
Protected Accounts
8.34% 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 |
|---|---|---|---|
| @JohnCena | 14,100,048 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Tobjizzle | 2,855,071 | YouTuber | Gaming, Sidemen, Music |
| @TheVampsCon | 1,735,898 | Musician | Diary, Strange thoughts |
| @FNATIC | 1,702,122 | Esports Organization | Esports, Performance, Gaming |
| @Sporf | 1,386,811 | Sports Media | Sport, Conversation, Social Chain Group |
| @masongreenwood | 1,384,321 | Footballer | Football, ManUtd, Nike |
| @BlaqBonez | 1,169,408 | Rapper | Music, Rap, Album |
| @LaurenAlexis_x | 773,838 | Content creator | NSFW content, Instagram, YouTube |
| @DiogoJota18 | 727,910 | Footballer | Futebol, Liverpool, Jogador |
| @EASPORTSEsp | 669,121 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,479
Followers With Bio
48,518
Followers Without Bio
51.96%
% With Bio
48.04%
% 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 3,249 analyzed548,144
Combined Engagement
0
Total Likes
548,144
Total Retweets
109,629
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ahmedheshamm4: man i be overthinking these https://t.co/qZ6vdVRdMh
RT @LFC: WE’RE PREMIER LEAGUE CHAMPIONS!! 🏆 https://t.co/qX7Duxoslm
RT @Carra23: https://t.co/puDWlEZRbP
RT @KingJames: PREMIER LEAGUE CHAMPIONS!!!!!!!!!!!!!!! LET’S GO 🗣🗣🗣🗣🗣 @LFC #YNWA♥️ 🙏🏾💪🏾🏆👑
RT @trentaa98: Championssss!!!! 🏆
Key Insights & Takeaways
Tekkz's content is heavily focused on gaming and football achievements, which drives engagement. He frequently shares personal milestones and recognitions, which resonate well with his audience. His use of links and hashtags helps in increasing visibility and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 203,762
- + 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 @Tekkz reveals an well-established Twitter presence with 203,762 followers. The account demonstrates a content-creator strategy, averaging 863.9 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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