788,550
Followers
251
Following
8,233
Tweets
490.4
Avg Engagement
665
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ThomasVergara'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:2012-06-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,861
- Avg Likes per Tweet:40.6
- Avg Retweets per Tweet:449.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,861 tweetsThe account shows high engagement with a consistent number of likes and retweets, indicating a loyal and active follower base.
40.6
Avg Likes/Tweet
449.7
Avg Retweets/Tweet
116,271
Total Likes
1,286,647
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
58
75th Percentile
263,469
Top Tweet
0.62
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
13.5%
Original
16.9%
Replies
69.1%
Retweets
0.6%
Quotes
0.0%
Threads
1.6%
With Media
20.2%
With Links
31.7%
With #Tags
88.4%
With @Mentions
39.7%
With Emojis
92
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.26
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.3%
Weekday Posts
23.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,861 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 1,976 retweets (69% 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 2,861 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 appears to be a mix of personal connections and public followers, likely interested in his personal journey and public statements.
Below Average
Audience Quality
35.3%
Suspicion Index
50.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.2%
Empty Bio
58.8%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
68.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
44.4%
<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.
31,291,190
Total Potential Reach
3
Median Follower Reach
17
75th Percentile Reach
0.8%
>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).
20.4%
Creators
10,199 accounts
20.8%
Consumers
10,400 accounts
58.8%
Dormant
29,401 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):
70
Verified Followers
0.07% of total
7,676
Protected Accounts
7.6% 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 |
|---|---|---|---|
| @Benzema | 19,806,738 | Footballer | Football, Real Madrid, France |
| @TPMP | 3,863,336 | - | - |
| @Nabilla | 2,773,815 | Influencer | Fashion, Beauty, Lifestyle |
| @MalikBentalha | 1,885,788 | Comedian | Comedy, Acting, Travel |
| @AchrafHakimi | 1,738,101 | Footballer | football, sports, athlete |
| @ObispoPascal | 1,708,219 | Singer | Music, Album, Vinyl |
| @henni_mo | 528,210 | Influencer | - |
| @tawarayat | 518,517 | Technologist | technology, community radio, education |
| @rfuruya1 | 495,513 | Motorcyclist | Motorcycles, NPO, Walking |
| @LeChrisMarques | 472,456 | Producer | TV, Spectacle, Danse |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,981
Followers With Bio
64,015
Followers Without Bio
36.62%
% With Bio
63.38%
% 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 2,861 analyzed599,826
Combined Engagement
0
Total Likes
599,826
Total Retweets
119,965
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @samsmith: WHO IS THIS KID!!!!!? YOU ARE OUT OF THIS UNIVERSE WHOEVER YOU ARE ❤️ https://t.co/4zHfaXVSw0
RT @KMbappe: MY LOVE 💍 https://t.co/Ut72cZTLWU
RT @RafaelNadal: #CHAMP10N
RT @jeromejarre: 🚨MAINSTREAM MEDIA WON'T TALK ABOUT IT !!! REVOLTING !!! LET'S MAKE NOISE !!! #TurkishAirlinesHelpSomalia 🚨 https://t.c…
RT @Cristiano: Vamos equipo!👍🏽💪🏽 https://t.co/Z1Hon6cihl
Key Insights & Takeaways
The user frequently shares personal reflections and emotional content, which may resonate deeply with their audience. There is a mix of personal and public content, suggesting a balance between private thoughts and public interaction. The user's tweets often include links, indicating a desire to direct followers to external content or platforms.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 788,550
- + 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 @ThomasVergara reveals an well-established Twitter presence with 788,550 followers. The account demonstrates a conversation-first approach, averaging 490.4 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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