Pierre Le Texier
🇫🇷🇪🇺 Dircom @ensemble_ue. Mes tweets n’engagent que moi.
12,650
Followers
780
Following
24,978
Tweets
913.6
Avg Engagement
201
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pierre_lt'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:2011-02-27
- Verification:Yes
- Location:Bruxelles, Belgique
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:54.6
- Avg Retweets per Tweet:859.0
- Followers Analyzed:11,811
Engagement Analysis
Based on 3,233 tweetsPierre_lt's tweets receive a moderate level of engagement, with an average of 4,540 likes and 1,372 retweets per tweet. This suggests a dedicated but not overwhelmingly active audience.
54.6
Avg Likes/Tweet
859.0
Avg Retweets/Tweet
176,539
Total Likes
2,776,992
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
13
Median Retweets
304
75th Percentile
554,849
Top Tweet
72.22
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
13.7%
Original
7.4%
Replies
39.0%
Retweets
40.0%
Quotes
0.0%
Threads
0.5%
With Media
81.3%
With Links
17.3%
With #Tags
48.6%
With @Mentions
17.3%
With Emojis
168
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
1.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 1,260 retweets (39% 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 3,233 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 11,811 followersHis audience primarily consists of French-speaking individuals interested in European politics and current affairs. The followers are likely politically engaged and looking for alternative perspectives.
Good
Audience Quality
17.7%
Suspicion Index
14.8%
Low-Quality %
352
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.5%
Empty Bio
8.8%
<10 Tweets
32.2%
Mass Following (>2K)
0.0%
New (<90 days)
23.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.7%
No URL
5.1%
<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.
53,500,992
Total Potential Reach
352
Median Follower Reach
1,122
75th Percentile Reach
27.3%
>1K followers
3.7%
>10K followers
0.9%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
81.0%
Creators
9,563 accounts
10.3%
Consumers
1,213 accounts
8.8%
Dormant
1,035 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):
455
Verified Followers
3.85% of total
892
Protected Accounts
7.55% of total
9 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 | 14,106,722 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,240 | - | - |
| @JLMelenchon | 2,671,606 | Politician | politics, FranceInsoumise, UnionPopulaire |
| @Anne_Hidalgo | 1,555,702 | Politician | Paris, Francophonie, Cities |
| @EdKrassen | 875,148 | Journalist | Politics, Journalism, Author |
| @EnricoLetta | 742,605 | Politician | Politics, Leadership, Think tank |
| @drangelocarbone | 736,262 | Lawyer | Legal, Consulting, WhatsApp |
| @THE_THEO_FORD | 470,587 | - | - |
| @Leila_Ghandi | 433,347 | TV Host | Travel, TV, Speaker |
| @CCastaner | 387,457 | Politician | politics, leadership, legislation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,912
Followers With Bio
2,899
Followers Without Bio
75.46%
% With Bio
24.54%
% 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 3,233 analyzed1,354,347
Combined Engagement
0
Total Likes
1,354,347
Total Retweets
270,869
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @LulaOficial: Democracia. https://t.co/zvnBbnQ3HG
RT @KMbappe: Nous reviendrons. 🇫🇷🙏🏽 https://t.co/Ni2WhO6Tgd
RT @RollingStones: https://t.co/wi6333F6QF
RT @petercrouch: Incredible from Mbappe but I was doing this shit in 2006 https://t.co/eaRIH90Fgc
Key Insights & Takeaways
His top tweets often involve controversial political figures and events, indicating a focus on sensational and provocative content. He frequently criticizes mainstream media and political institutions, suggesting a distrust of traditional sources. His use of verified accounts and direct language positions him as a credible and authoritative voice in his niche audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,650
- + 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 @pierre_lt reveals an well-established Twitter presence with 12,650 followers. The account demonstrates a content-creator strategy, averaging 913.6 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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