T Garcia
Founder Inkorrect Clothing Brand.
724,348
Followers
868
Following
7,006
Tweets
232.5
Avg Engagement
249
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ThibaultGarcia'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:2010-03-02
- Verification:No
- Location:Snap : Thibaultkurog
Data Summary
- Tweets Analyzed:3,025
- Avg Likes per Tweet:125.0
- Avg Retweets per Tweet:107.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,025 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal following.
125.0
Avg Likes/Tweet
107.5
Avg Retweets/Tweet
378,070
Total Likes
325,137
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
21
Median Retweets
200
75th Percentile
40,678
Top Tweet
0.32
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
36.1%
Original
8.9%
Replies
52.0%
Retweets
3.0%
Quotes
0.0%
Threads
0.9%
With Media
46.9%
With Links
27.5%
With #Tags
68.5%
With @Mentions
47.8%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,025 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 1,573 retweets (52% 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 3,025 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 primarily consists of fashion enthusiasts and followers of his brand. The audience is also interested in personal and emotional content.
Below Average
Audience Quality
38.2%
Suspicion Index
57.0%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.8%
Empty Bio
65.2%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
71.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.7%
No URL
51.2%
<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.
30,962,489
Total Potential Reach
3
Median Follower Reach
12
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
16.8%
Creators
8,389 accounts
18.0%
Consumers
9,014 accounts
65.2%
Dormant
32,597 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):
166
Verified Followers
0.16% of total
6,125
Protected Accounts
6.06% 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 | 14,105,190 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NRJhitmusiconly | 3,399,748 | Radio | Music, Hits, Radio |
| @benmendy23 | 1,417,876 | Footballer | Football, France, Adidas |
| @SinghLions | 1,335,043 | Restaurateur | Food, Travel, Influencer |
| @BoredApeYC | 1,060,196 | NFT Creator | NFTs, Membership, Discord |
| @FrenchGaymer | 875,341 | Adult entertainer | gay porn, gay sex, gay xxx |
| @ZachBoychuk | 829,946 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @sitebarbanews | 574,232 | News Editor | - |
| @tawarayat | 518,505 | Technologist | technology, community radio, education |
| @RemyCabella | 453,037 | Religious Leader | Jesus, Faith, Bible |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
29,731
Followers With Bio
71,261
Followers Without Bio
29.44%
% With Bio
70.56%
% 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 3,025 analyzed140,502
Combined Engagement
31,625
Total Likes
108,877
Total Retweets
28,100
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @PNationale: [AppelàTémoin] La #PJ recherche 1 individu susceptible d'être impliqué ds les attentats du 13/11/2015 #ParisAttacks https:/…
Moi j’aime bien les filles https://t.co/WDVpQoR891
RT @Orel_san: Je suis de retour. Basique. https://t.co/Dr50OLiU4S
RT @thabestvines: cette vidéo devrait faire le tour du monde madame sachez qu'on vous aime pour vos paroles pleine de sagesse 🙏🏻 https://t.…
@B_Castaldi @MarseillaisW9 @TPMP @Cyrilhanouna Demande à ton fils ... ✌🏻 https://t.co/UlexyHmiJU
Key Insights & Takeaways
His personal relationships are a key part of his content He often shares emotional and philosophical messages He uses Twitter to promote his brand and personal life
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 724,348
- + 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 @ThibaultGarcia reveals an well-established Twitter presence with 724,348 followers. The account demonstrates a content-creator strategy, averaging 232.5 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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