Maxime Gonalons
Compte Officiel de Maxime Gonalons Joueur de Football Professionnel @clermontfoot
106,774
Followers
146
Following
946
Tweets
499.4
Avg Engagement
215
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MaxGonalons'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:2014-12-15
- Verification:No
- Location:Lyon
Data Summary
- Tweets Analyzed:913
- Avg Likes per Tweet:221.3
- Avg Retweets per Tweet:278.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 913 tweetsThe account shows strong engagement with its followers, indicating a loyal fan base. The high average likes and retweets suggest that the content resonates well with the audience.
221.3
Avg Likes/Tweet
278.1
Avg Retweets/Tweet
202,042
Total Likes
253,917
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
111
Median Retweets
553
75th Percentile
10,100
Top Tweet
4.68
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
30.9%
Original
11.2%
Replies
57.6%
Retweets
0.3%
Quotes
0.0%
Threads
0.9%
With Media
76.0%
With Links
67.4%
With #Tags
83.8%
With @Mentions
66.0%
With Emojis
112
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 913 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 526 retweets (58% 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 913 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 consists mainly of football fans, especially supporters of Clermont Foot and Lyon. They are likely to be passionate about the sport and engaged with team-related content.
Average
Audience Quality
29.7%
Suspicion Index
29.5%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.9%
Empty Bio
30.4%
<10 Tweets
16.9%
Mass Following (>2K)
0.0%
New (<90 days)
68.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
18.1%
<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.
31,344,725
Total Potential Reach
29
Median Follower Reach
127
75th Percentile Reach
3.6%
>1K followers
0.5%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.9%
Creators
4,394 accounts
25.7%
Consumers
2,568 accounts
30.4%
Dormant
3,038 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):
18
Verified Followers
0.18% of total
722
Protected Accounts
7.22% 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 | 14,093,451 | Wrestler | Wrestling, Motivation, Self-promotion |
| @raphaelvarane | 7,544,592 | Footballer | Football, Manchester United, France |
| @lnstantFoot | 1,759,490 | Football Blogger | Football, Instant, Vivons |
| @Javi_Pastore | 968,243 | Futbolista | Futbol, Elche CF, Argentina |
| @R9Soldado | 890,422 | Footballer | Football, Family, Fitness |
| @Moreno | 430,949 | Influencer | Business, Manager, Serious |
| @OnlyVikingos | 399,341 | Football Fan | Football, Real Madrid, Passion |
| @gregmargotton | 363,928 | Journaliste | Sports, Journalism, Podcasting |
| @SerieA_EN | 363,682 | Sports Media | Football, Italian, Updates |
| @UEFAcom_fr | 352,074 | Football (Soccer) | football, futsal, competitions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,915
Followers With Bio
4,085
Followers Without Bio
59.15%
% With Bio
40.85%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 913 analyzed41,635
Combined Engagement
24,462
Total Likes
17,173
Total Retweets
8,327
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @samumtiti: 🙏🏾❤️Barcelona
Merci pour tout... ❤️💙#AJamaisUnGone #TeamOL https://t.co/3LqOk7BAqz
...😱😱👊🏻🔥🔴🔵 #Derby
Merci Président d’avoir fait briller l’OL pendant tant d’années❤️💙💫 https://t.co/MYPtBW02RW
DAJEEEEEEEE ROMAAAA 💪🏼🧡❤️ #ASRoma #UCL https://t.co/7SMZO3MnPf
Key Insights & Takeaways
The account frequently shares gratitude and emotional messages, which likely foster a sense of community and loyalty. The use of hashtags like #AJamaisUnGone and #TeamOL highlights strong team identity and fan support. The top tweets include links to external content, suggesting a mix of public and private engagement strategies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 106,774
- + 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 @MaxGonalons reveals an well-established Twitter presence with 106,774 followers. The account demonstrates a content-creator strategy, averaging 499.4 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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