300,883
Followers
510
Following
1,175
Tweets
706.1
Avg Engagement
965
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TomasUjfa'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:2010-07-08
- Verification:No
- Location:Prag
Data Summary
- Tweets Analyzed:1,134
- Avg Likes per Tweet:377.1
- Avg Retweets per Tweet:329.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,134 tweetsThe account shows high engagement with its tweets, indicating a loyal and active fan base. The use of emojis and hashtags helps to boost interaction and visibility.
377.1
Avg Likes/Tweet
329.0
Avg Retweets/Tweet
427,653
Total Likes
373,104
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
9
Median Retweets
235
75th Percentile
199,926
Top Tweet
2.35
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
55.9%
Original
33.3%
Replies
10.1%
Retweets
0.7%
Quotes
0.0%
Threads
0.2%
With Media
22.6%
With Links
3.9%
With #Tags
49.0%
With @Mentions
31.2%
With Emojis
67
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,134 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 114 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 1,134 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 followersThe audience is likely football fans, especially those who support GalatasaraySK. The account's content is tailored to engage with fans and supporters of the team.
Average
Audience Quality
29.8%
Suspicion Index
42.4%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.8%
Empty Bio
37.8%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
58.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
26.1%
<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.
27,254,101
Total Potential Reach
20
Median Follower Reach
100
75th Percentile Reach
3.1%
>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).
40.5%
Creators
20,267 accounts
21.6%
Consumers
10,810 accounts
37.8%
Dormant
18,923 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
9,052
Protected Accounts
8.96% of total
8 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 |
|---|---|---|---|
| @didierdrogba | 2,773,144 | Footballer | Football, Philanthropy, Charity |
| @_felipemelo_ | 1,898,012 | Soccer Player | Soccer, Brazil, Instagram |
| @PetrCech | 1,795,771 | Football Advisor | Football, Goalkeeping, Coaching |
| @CynthiaLIVE | 1,424,722 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @LeBronJames | 1,009,265 | - | - |
| @TwitBakani | 961,439 | Entrepreneur | Entrepreneurship, Consulting, Management |
| @cakir_rusen | 854,700 | Journalist | journalism, media, support |
| @hakansukur | 776,719 | Former Footballer | Family, Fame, Fatherhood |
| @Galatasaray | 764,220 | Sports Club | Sports, Club, Turkish |
| @acffiorentina | 735,934 | Football Club | Football, Sports, Italy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,138
Followers With Bio
64,861
Followers Without Bio
35.78%
% With Bio
64.22%
% 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 1,134 analyzed307,466
Combined Engagement
85,378
Total Likes
222,088
Total Retweets
61,493
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @IAmJermainDefoe: Sleep tight little one... 💙 https://t.co/iGqLXdvlVi
Bugünkü derbide başarılar @GalatasaraySK! ✊💪 https://t.co/cZ3DMOI0Ap
Well Done @GalatasaraySK 💪💪💪 https://t.co/ql4NUqPT2j
Uzun bir aradan sonra Evime geri döndüm,Cumartesi günü Ankaragücü maçında tribünde olup Aslanları destekleyeceğim..👍 https://t.co/bg2iPNvGLr
RT @acffiorentina: In ricordo del #capitano Davide #Astori https://t.co/6OiBL4VVAZ
Key Insights & Takeaways
The account frequently shares positive messages and support for GalatasaraySK, which likely strengthens fan loyalty. It uses emojis and hashtags to enhance engagement and visibility. The account is active in promoting team events and matches, which helps to maintain a strong connection with its audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 300,883
- + 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 @TomasUjfa reveals an well-established Twitter presence with 300,883 followers. The account demonstrates a content-creator strategy, averaging 706.1 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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