Benjamin Quarez
Journaliste @le_Parisien @le_Parisien_PSG @leparisiensport 🗞⚽️ bquarez@leparisien.fr
15,974
Followers
247
Following
6,559
Tweets
181.6
Avg Engagement
164
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @B_Quarez'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:2012-01-07
- Verification:No
- Location:Paris - Rennes
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:46.7
- Avg Retweets per Tweet:134.9
- Followers Analyzed:13,289
Engagement Analysis
Based on 500 tweetsThe average engagement per tweet is moderate, with likes and retweets averaging around 443 and 71 respectively. Verified accounts make up a small portion of their followers.
46.7
Avg Likes/Tweet
134.9
Avg Retweets/Tweet
23,339
Total Likes
67,446
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
9
Median Retweets
85
75th Percentile
23,093
Top Tweet
11.37
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
56.0%
Original
0.6%
Replies
27.6%
Retweets
15.8%
Quotes
0.0%
Threads
0.2%
With Media
49.6%
With Links
74.6%
With #Tags
70.2%
With @Mentions
52.4%
With Emojis
162
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.0%
Weekday Posts
25.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 138 retweets (28% 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 500 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 13,289 followersThe audience is likely sports enthusiasts, particularly fans of PSG and football in general. They are interested in real-time updates, transfers, and match highlights.
Good
Audience Quality
19.6%
Suspicion Index
22.0%
Low-Quality %
95
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
11.2%
<10 Tweets
17.1%
Mass Following (>2K)
0.0%
New (<90 days)
42.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
6.8%
<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.
50,019,026
Total Potential Reach
95
Median Follower Reach
349
75th Percentile Reach
11.8%
>1K followers
2.1%
>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).
75.2%
Creators
9,994 accounts
13.6%
Consumers
1,812 accounts
11.2%
Dormant
1,483 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):
279
Verified Followers
2.1% of total
1,152
Protected Accounts
8.67% of total
7 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 |
|---|---|---|---|
| @FabrizioRomano | 14,417,131 | Journalist | Football, Transfers, News |
| @goal | 8,156,764 | Football Analyst | football, news, insight |
| @MalikBentalha | 1,886,083 | Comedian | Comedy, Acting, Travel |
| @jpedrerol | 1,826,211 | Sports journalist | Football, Sports, Journalism |
| @GoalNews | 1,470,274 | Sports Journalist | football, news, passion |
| @GuillemBalague | 1,058,349 | Football Journalist | Football, Journalism, Broadcasting |
| @lequipedusoir | 686,266 | Sports Commentator | Sports, Talk show, Football |
| @aliececom | 590,537 | Sports Commentator | Sports, Communication, Contact |
| @mohamedbouhafsi | 567,545 | Journalist | Football, Chief Editor, Parrain |
| @charles_watts | 491,319 | Sports Journalist | Arsenal, Football, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,352
Followers With Bio
4,937
Followers Without Bio
62.85%
% With Bio
37.15%
% 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 500 analyzed50,331
Combined Engagement
0
Total Likes
50,331
Total Retweets
10,066
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ChampionsLeague: Bring it on! 👊 #UCL || #UCLdraw https://t.co/z9IBs4zdUA
RT @raphaelvarane: Triste mais tellement fier ! 🇫🇷❤️
RT @PSG_inside: 🔴 #WelcomeRenato 🔵 https://t.co/iJtcqiHt4v
RT @equipedefrance: 📣 𝐋𝐞𝐬 𝟐𝟑 𝐁𝐥𝐞𝐮𝐬 𝐜𝐨𝐧𝐯𝐨𝐪𝐮𝐞́𝐬 ! La liste de 𝗗𝗶𝗱𝗶𝗲𝗿 𝗗𝗲𝘀𝗰𝗵𝗮𝗺𝗽𝘀 pour le début des qualifications à l'Euro 2024, avec 3 nouve…
RT @PSG_inside: ✍️🔴🔵 Welcome @Carlos10Soler! #WelcomeCarlos https://t.co/by8XWvVjvp
Key Insights & Takeaways
Focus on PSG and sports news is key to their content They frequently share transfer updates and match highlights Engagement is driven by timely and relevant sports content
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,974
- + 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 @B_Quarez reveals an well-established Twitter presence with 15,974 followers. The account demonstrates a content-creator strategy, averaging 181.6 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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