CANAL+ Rugby
Pas besoin d’être rond pour aimer la balle ovale.
108,434
Followers
753
Following
16,516
Tweets
145.1
Avg Engagement
460
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CanalplusRugby'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:2015-09-13
- Verification:Yes
- Location:Planète ovale
Data Summary
- Tweets Analyzed:3,151
- Avg Likes per Tweet:125.0
- Avg Retweets per Tweet:20.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,151 tweetsThe account maintains a high level of engagement through likes and retweets, with a focus on interactive promotions and visual content. It also uses Instagram as a complementary platform to boost engagement.
125.0
Avg Likes/Tweet
20.1
Avg Retweets/Tweet
393,852
Total Likes
63,366
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
48
Median Likes
8
Median Retweets
154
75th Percentile
4,383
Top Tweet
1.34
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.2%
Original
6.0%
Replies
13.2%
Retweets
3.5%
Quotes
0.0%
Threads
0.4%
With Media
86.4%
With Links
56.6%
With #Tags
66.3%
With @Mentions
78.8%
With Emojis
134
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
38.8%
Weekday Posts
61.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,151 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 416 retweets (13% 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 3,151 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 10,999 followersThe audience is likely rugby enthusiasts and fans of French rugby, given the focus on the French national team and rugby-related content. The audience is also interested in interactive promotions and visual media.
Average
Audience Quality
34.6%
Suspicion Index
55.7%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.3%
Empty Bio
51.0%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
64.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
42.2%
<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.
3,142,927
Total Potential Reach
5
Median Follower Reach
37
75th Percentile Reach
1.8%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.8%
Creators
3,495 accounts
17.2%
Consumers
1,896 accounts
51.0%
Dormant
5,608 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):
25
Verified Followers
0.23% of total
814
Protected Accounts
7.4% of total
3 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 |
|---|---|---|---|
| @bayrou | 679,267 | Politician | Politics, Planning, Mayor |
| @farrugiadom | 281,226 | Comedian | Comedy, 20th Century, French |
| @laurentbaheux | 247,272 | Photographe | Animaux sauvages, Photographie, Engagement |
| @RCTofficiel | 209,650 | Rugby | Rugby, Toulon, Family |
| @MonPetitGazon | 87,349 | Football Predictor | football, pronostics, amis |
| @le10sport | 82,787 | Sports News | Sport, Football, Mercato |
| @orangevelodrome | 65,428 | Sports Venue | Football, Marseille, Stadium |
| @larrouturou | 62,143 | Politician | Justice sociale, Enjeux climatiques, Budget 2021 |
| @Elmakapelma | 61,753 | Content Creator | Rugby, Content Creation, Cats |
| @RaveaudGilles | 56,727 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,380
Followers With Bio
7,619
Followers Without Bio
30.73%
% With Bio
69.27%
% 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 3,151 analyzed17,256
Combined Engagement
13,580
Total Likes
3,676
Total Retweets
3,451
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
GAGNE UN MAILLOT DÉDICACÉ PAR LE XV DE FRANCE ! 🔥 🇫🇷 Pour participer : ❤️ Like cette publication ➡️ Abonne-toi à notre compte insta @CanalplusRugby Tirage au sort du gagnant lundi midi ! 🤞Bonne chance à tous !! https://t.co/eCrGNIMje9
Cette photo quand même 🤩 https://t.co/jFX4VcHIX4
🤐 https://t.co/YwNHP9A51Z
PLUS GRAND VENTRIGLISSE DE L'HISTOIRE ? 😭 #HSBC7s https://t.co/pK0wnpsIYa
RT @FranceRugby: 🌍🔝🇫🇷🔥 𝐍𝐔𝐌𝐄́𝐑𝐎 𝟏 𝐌𝐎𝐍𝐃𝐈𝐀𝐔𝐗 ! #XVdeFrance #NeFaisonsXV https://t.co/gACZo6zHji
Key Insights & Takeaways
The account uses visual content to attract attention and drive engagement Interactive promotions, such as giveaways, are a key strategy to increase follower interaction Instagram integration helps expand reach and maintain audience interest
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 108,434
- + 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 @CanalplusRugby reveals an well-established Twitter presence with 108,434 followers. The account demonstrates a content-creator strategy, averaging 145.1 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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