Chris Jullien..
⚽️ @MontpellierHSC 🇫🇷 #The6 #TeamViF " Je ne perds pas, soit je gagne soit j'apprends " 👊🏽
73,738
Followers
462
Following
2,599
Tweets
2,224.6
Avg Engagement
130
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Chri6ViF'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: Mid-Tier (10K+)
- Account Age:2012-10-26
- Verification:No
- Location:Montpellier, France
Data Summary
- Tweets Analyzed:2,548
- Avg Likes per Tweet:314.3
- Avg Retweets per Tweet:1,910.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,548 tweetsTheir tweets receive high engagement, with an average of 11,314 likes and 852 retweets per post, indicating a highly interactive fan base.
314.3
Avg Likes/Tweet
1,910.3
Avg Retweets/Tweet
800,907
Total Likes
4,867,405
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
79
75th Percentile
2,978,182
Top Tweet
30.17
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
26.4%
Original
7.7%
Replies
60.0%
Retweets
5.9%
Quotes
0.0%
Threads
1.1%
With Media
61.7%
With Links
49.5%
With #Tags
75.0%
With @Mentions
49.9%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,548 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 1,528 retweets (60% 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 2,548 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 10,000 followersThe audience primarily consists of football fans, especially supporters of Montpellier HSC, and individuals interested in personal stories and sports updates.
Average
Audience Quality
28.8%
Suspicion Index
39.9%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.2%
Empty Bio
38.5%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
53.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
26.6%
<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.
20,548,841
Total Potential Reach
22
Median Follower Reach
118
75th Percentile Reach
4.2%
>1K followers
0.3%
>10K followers
0.2%
>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).
38.3%
Creators
3,832 accounts
23.1%
Consumers
2,313 accounts
38.5%
Dormant
3,855 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):
21
Verified Followers
0.21% of total
912
Protected Accounts
9.12% of total
4 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 | 14,097,178 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SoccerKingJP | 1,351,329 | Sports Journalist | soccer, YouTube, sports |
| @IamMzilikazi | 553,031 | Musician | Pan-African music, Album, Rise |
| @Moreno | 429,943 | Influencer | Business, Manager, Serious |
| @MontpellierHSC | 409,820 | Football Club | Football, Orange Bleu, Social Media |
| @zammit_marc | 385,733 | Filmmaker | Film, Acting, Producing |
| @Gunnersc0m | 341,717 | Sports Media | Football, Arsenal, Betting |
| @beverleyturner | 148,731 | Journalist | Journalism, Broadcasting, Parenting |
| @Bradleysfight | 137,921 | Charity | fundraising, awareness, support |
| @coffee_anytime | 114,041 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,676
Followers With Bio
5,324
Followers Without Bio
46.76%
% With Bio
53.24%
% 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 2,548 analyzed3,603,036
Combined Engagement
0
Total Likes
3,603,036
Total Retweets
720,607
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @JColeNC: KOD 4/20 Cover and back https://t.co/2iUaKrI42F
RT @Drake: #VIEWS Tracklist https://t.co/6KLbbgzFSm
RT @kendricklamar: DAMN. by Kendrick Lamar. https://t.co/ucQcg0PuzG
RT @MeekMill: I’d like to thank God, my family, and all my public advocates for their love, support and encouragement during this difficult time. While the past five months have been a nightmare, the prayers, visits, calls, letters and rallies have helped me stay positive.
Key Insights & Takeaways
Their personal journey and challenges are a major focus, showing vulnerability and gratitude. They use emotional language and symbols to connect with followers. Their content often includes links to deeper stories or reflections, suggesting a desire for meaningful engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 73,738
- + 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 @Chri6ViF reveals an exceptionally influential Twitter presence with 73,738 followers. The account demonstrates a content-creator strategy, averaging 2,224.6 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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