157,079
Followers
11,484
Following
19,703
Tweets
399.8
Avg Engagement
2,080
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @vincentglad'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:2007-03-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:62.2
- Avg Retweets per Tweet:337.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHis tweets receive a high level of engagement, indicating a strong and active audience. The content often sparks discussion and debate.
62.2
Avg Likes/Tweet
337.6
Avg Retweets/Tweet
201,662
Total Likes
1,094,427
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
4
Median Retweets
94
75th Percentile
110,598
Top Tweet
2.55
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
10.6%
Original
63.3%
Replies
19.8%
Retweets
6.2%
Quotes
0.0%
Threads
0.9%
With Media
44.6%
With Links
3.2%
With #Tags
64.4%
With @Mentions
3.7%
With Emojis
170
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.97
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 643 retweets (20% 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 3,242 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 French politics and media coverage. They are likely to be politically aware and engaged with current affairs.
Average
Audience Quality
21.5%
Suspicion Index
25.3%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
18.5%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
44.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.5%
No URL
12.6%
<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.
111,474,106
Total Potential Reach
78
Median Follower Reach
377
75th Percentile Reach
13.5%
>1K followers
2.3%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
66.9%
Creators
33,473 accounts
14.6%
Consumers
7,298 accounts
18.5%
Dormant
9,229 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):
444
Verified Followers
0.44% of total
7,176
Protected Accounts
7.11% 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 |
|---|---|---|---|
| @JohnCena | 14,100,941 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EmmanuelMacron | 9,344,940 | Politician | Politics, France, Leadership |
| @MLP_officiel | 2,910,784 | Politician | politics, nationalism, leadership |
| @BeatsByAssassin | 2,261,387 | Multitalented | Actor, Director, Rapper |
| @jpedrerol | 1,828,366 | Sports journalist | Football, Sports, Journalism |
| @ObispoPascal | 1,707,433 | Singer | Music, Album, Vinyl |
| @Arthur_Officiel | 1,668,520 | Entertainer | Entertainment, TV, Social Media |
| @LeonKrauze | 1,584,379 | Journalist | TV, Journalism, Podcasts |
| @20m | 1,506,415 | News Outlet | Not provided. |
| @SinghLions | 1,333,715 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,570
Followers With Bio
52,428
Followers Without Bio
48.09%
% With Bio
51.91%
% 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 3,242 analyzed325,514
Combined Engagement
0
Total Likes
325,514
Total Retweets
65,103
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @rogerfederer: ❤️ https://t.co/YxtVWrlXIF
RT @TSN_Sports: Russian tennis player Andrey Rublev writes "No war please" on the camera following his advancement to the final in Dubai. h…
RT @brfootball: The 2022 World Cup will never be forgotten 🎉 https://t.co/UhXYQYX85s
RT @davidmackau: this remains an all-time story about the queen https://t.co/hI2yNUac0H
RT @kristenstockdal: An interesting development in the Kim <> Kanye saga https://t.co/oN2Ktmb0c3
Key Insights & Takeaways
He focuses on high-profile political figures and events, often highlighting controversial moments. His content is frequently shared and liked, showing strong audience interaction. He uses verified sources and links to support his tweets, enhancing credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 157,079
- + 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 @vincentglad reveals an well-established Twitter presence with 157,079 followers. The account demonstrates a conversation-first approach, averaging 399.8 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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