françois pinet
Journaliste @RMCsport @RMCinfo / co fondateur @Podiio_ Podcast
84,731
Followers
5,230
Following
28,946
Tweets
675.7
Avg Engagement
420
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @francoispinet'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:2011-02-22
- Verification:No
- Location:Paris
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:8.8
- Avg Retweets per Tweet:666.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,245 tweetsHis tweets receive a high level of engagement, with an average of 745 likes and 2,031 retweets per tweet. This indicates a strong and active community that values his opinions and commentary.
8.8
Avg Likes/Tweet
666.9
Avg Retweets/Tweet
28,521
Total Likes
2,164,223
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
11
75th Percentile
550,981
Top Tweet
7.98
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
12.1%
Original
44.9%
Replies
32.1%
Retweets
10.9%
Quotes
0.0%
Threads
0.6%
With Media
39.9%
With Links
32.9%
With #Tags
88.4%
With @Mentions
48.4%
With Emojis
153
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.7
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 1,043 retweets (32% 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 3,245 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 followersHis audience is primarily interested in sports, especially football, and is likely composed of fans and followers of French football clubs. They are engaged and often respond to his critiques and analyses.
Average
Audience Quality
28.1%
Suspicion Index
28.7%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.4%
Empty Bio
23.7%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
64.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
13.9%
<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.
35,287,481
Total Potential Reach
41
Median Follower Reach
176
75th Percentile Reach
7.5%
>1K followers
1.7%
>10K followers
0.4%
>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).
52.4%
Creators
5,240 accounts
23.9%
Consumers
2,389 accounts
23.7%
Dormant
2,371 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):
49
Verified Followers
0.49% of total
735
Protected Accounts
7.35% 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 |
|---|---|---|---|
| @JohnCena | 14,097,194 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RMCsport | 2,374,793 | Sports News | football, rugby, F1 |
| @Fellaini | 2,173,741 | Footballer | Football, Shandong Luneng, Belgium |
| @lnstantFoot | 1,763,294 | Football Blogger | Football, Instant, Vivons |
| @SinghLions | 1,330,401 | Restaurateur | Food, Travel, Influencer |
| @EdKrassen | 971,750 | Journalist | Politics, Journalism, Author |
| @StanCollymore | 891,321 | Football Analyst | Football, Anti-Racism, Mental Health |
| @EduAguirre7 | 707,452 | Sports Journalist | Deportes, Periodismo, Instagram |
| @THE_THEO_FORD | 472,936 | - | - |
| @SuperCazarre | 371,227 | Parodist | #Foot, #PSG, montages professionnels |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,663
Followers With Bio
4,337
Followers Without Bio
56.63%
% With Bio
43.37%
% 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 3,245 analyzed1,054,837
Combined Engagement
0
Total Likes
1,054,837
Total Retweets
210,967
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @KMbappe: Zidane c’est la France, on manque pas de respect à la légende comme ça… 🤦🏽♂️
RT @KMbappe: FARMERS LEAGUE 🤡 👏🏽👏🏽👏🏽 @OL
RT @tasty: These Are All Cakes https://t.co/ejArkJHaid
RT @ManUtd: Manchester United has announced that Jose Mourinho has left the Club. We would like to thank him for his work during his time at Manchester United and wish him success in the future. #MUFC
Key Insights & Takeaways
He often criticizes football clubs and officials for their decisions, highlighting perceived injustices. He uses real-life events, such as player behavior, to make points about fairness and accountability. He engages with his audience by responding to their opinions and encouraging discussion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,731
- + 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 @francoispinet reveals an well-established Twitter presence with 84,731 followers. The account demonstrates a conversation-first approach, averaging 675.7 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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