Théo Gordy
🧠 créateur de @deepinsideparis et d’expériences immersives | 🎢Fan de parcs, d’escape Game et d’horreur
182,181
Followers
354
Following
9,437
Tweets
715.9
Avg Engagement
51
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheoGordy'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:2011-08-31
- Verification:No
- Location:Paris, France
Data Summary
- Tweets Analyzed:3,119
- Avg Likes per Tweet:128.5
- Avg Retweets per Tweet:587.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,119 tweetsTheoGordy's tweets receive a high average number of likes and retweets, indicating strong audience interaction. His content is well-received and often sparks discussions, especially around popular TV shows and events.
128.5
Avg Likes/Tweet
587.3
Avg Retweets/Tweet
400,855
Total Likes
1,831,926
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
47
Median Likes
3
Median Retweets
196
75th Percentile
314,070
Top Tweet
3.93
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
44.6%
Original
29.8%
Replies
17.3%
Retweets
8.3%
Quotes
0.0%
Threads
1.3%
With Media
33.4%
With Links
8.7%
With #Tags
51.7%
With @Mentions
64.5%
With Emojis
82
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,119 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 541 retweets (17% 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 3,119 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 immersive experiences, reality TV, and horror content. They engage with his posts through likes and retweets, showing a strong connection to his storytelling and commentary.
Below Average
Audience Quality
39.2%
Suspicion Index
56.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.8%
Empty Bio
66.6%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
78.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
51.4%
<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.
21,326,324
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
0.7%
>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).
16.3%
Creators
8,146 accounts
17.1%
Consumers
8,568 accounts
66.6%
Dormant
33,286 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):
37
Verified Followers
0.04% of total
7,289
Protected Accounts
7.22% of total
6 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 |
|---|---|---|---|
| @NetflixFR | 10,648,489 | Streaming Service | Movies, TV shows, Entertainment |
| @shanedawson | 8,197,096 | YouTuber | Merchandise, YouTube, Comedy |
| @tiktok_us | 2,145,632 | Social Media Influencer | Entertainment, Support, Videos |
| @TTLYTEALA | 1,709,777 | Actress | Actress, Youtuber, Love |
| @ObispoPascal | 1,707,526 | Singer | Music, Album, Vinyl |
| @nikosaliagas | 1,683,512 | TV Host | TV, Radio, Photography |
| @Arthur_Officiel | 1,668,657 | Entertainer | Entertainment, TV, Social Media |
| @trevimoran | 1,573,314 | Singer | pop music, entertainment, social media |
| @lenasituations | 1,375,632 | Influencer | Fashion, Beauty, Lifestyle |
| @NOH8Campaign | 801,038 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,026
Followers With Bio
59,973
Followers Without Bio
40.62%
% With Bio
59.38%
% 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 3,119 analyzed823,814
Combined Engagement
0
Total Likes
823,814
Total Retweets
164,763
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @juanacalvete: https://t.co/ALKbaY4GS2
RT @rihanna: . https://t.co/7oCnFsZH5U
RT @witchpuppy: she is an influencer on youtube https://t.co/0zP5aYtfIW
RT @NikiHoneyBee: ONLY 100 DAYS TILL 🏚️👻🎃⚰️ 🧡 🕸️ 🕯️ 🕷️ 🎃 𝕳𝖆𝖑𝖑𝖔𝖜𝖊𝖊…
RT @DegenerateThing: The amount of money cities spend on anti homeless architecture is much, much more than it would cost to provide everyo…
Key Insights & Takeaways
His content often revolves around reality TV and immersive experiences, which are key to his brand. He uses trending topics and hashtags to increase visibility and engagement. His personal touch and storytelling style help build a loyal and interactive audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 182,181
- + 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 @TheoGordy reveals an well-established Twitter presence with 182,181 followers. The account demonstrates a content-creator strategy, averaging 715.9 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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