Plus belle la vie
Twitter officiel de #Plusbellelavie #PBLV Retrouvez la saison 1 de PBLV du lundi au vendredi et la saison 16 le week-end sur Youtube👇
219,725
Followers
64,554
Following
39,571
Tweets
23.2
Avg Engagement
330
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PBLVofficiel'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:2011-08-19
- Verification:No
- Location:Marseille
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:19.1
- Avg Retweets per Tweet:4.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,226 tweetsThe account has an average of 440 likes and 114 retweets per tweet, indicating moderate engagement. The content often includes emotional and nostalgic messages, which may drive higher interaction.
19.1
Avg Likes/Tweet
4.1
Avg Retweets/Tweet
61,568
Total Likes
13,350
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
3
Median Retweets
25
75th Percentile
1,456
Top Tweet
0.11
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
99.1%
Original
0.6%
Replies
0.3%
Retweets
0.0%
Quotes
0.0%
Threads
2.0%
With Media
99.3%
With Links
91.6%
With #Tags
34.3%
With @Mentions
95.6%
With Emojis
121
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
38.0%
Weekday Posts
62.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,226 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 9 retweets (0% 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 3,226 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 50,000 followersThe primary audience consists of fans of the TV series, particularly those who follow the show's seasons and episodes. The audience is likely to be adults, given the show's mature themes and long-running nature.
Below Average
Audience Quality
40.3%
Suspicion Index
60.9%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.9%
Empty Bio
66.5%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
76.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.1%
No URL
51.8%
<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.
6,170,780
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.0%
>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).
16.3%
Creators
8,135 accounts
17.2%
Consumers
8,622 accounts
66.5%
Dormant
33,243 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):
29
Verified Followers
0.03% of total
6,495
Protected Accounts
6.49% 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 |
|---|---|---|---|
| @ObispoPascal | 1,707,678 | Singer | Music, Album, Vinyl |
| @LeBronJames | 1,004,776 | - | - |
| @Tof_Beaugrand | 959,447 | TV Host | TV hosting, journalism, digital |
| @B_Castaldi | 721,737 | TV Host | TV, Production, Animation |
| @brandaofficiall | 440,792 | Coach | Christianity, Fatherhood, Football |
| @AliceUnidoSTeam | 421,227 | Social Media Influencer | Saori, Mechis, JohnnySjh |
| @lesfdp_net | 257,747 | - | - |
| @beverlyofficie1 | 173,392 | Influencer | Collaborations, Instagram, Email |
| @assoAIDES | 165,484 | Advocacy | HIV, Hepatitis, CoalitionPLUS |
| @SudRadio | 146,332 | Radio Hosts | News, Talk Shows, Interviews |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,869
Followers With Bio
72,131
Followers Without Bio
27.87%
% With Bio
72.13%
% 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 3,226 analyzed4,081
Combined Engagement
3,273
Total Likes
808
Total Retweets
816
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
18 années d'amour à vos côtés, et ça, ça restera ❤️🙏 Merci pour tout, on vous aime 💘 #pblv #plusbellelavie @france3 @NewenFrance https://t.co/GBVtrGVQC7
On n'oubliera jamais Roland Marci🖤 #PBLV #PlusbelleLavie https://t.co/5E0MVRhHrn
La scène qu'on redoutait le plus depuis 18 ans : la mort de Roland Marci 🖤🥺🕊 #PBLV #plusbellelavie #RolandMarci #adieu @NewenFrance @France3tv https://t.co/XM8efedORO
Destination finale pour Plus Belle La Vie ce soir à partir de 20h15 sur @France3tv 💘🥺 #pblv #plusbellelavie @NewenFrance https://t.co/Ly9PiGaDLk
Roland Marci sera à jamais l'âme du Mistral 😢🖤 #PBLV #PlusbelleLavie https://t.co/MYNZM5JNTI
Key Insights & Takeaways
The account frequently shares emotional and nostalgic content, such as tributes to cast members like Roland Marci. It uses hashtags and mentions of other accounts to increase visibility and engagement. The content is primarily focused on promoting the show and its seasons, especially on YouTube.
Strengths
- + Established follower base of 219,725
- + 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 @PBLVofficiel reveals an growing Twitter presence with 219,725 followers. The account demonstrates a content-creator strategy, averaging 23.2 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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