David Lafarge

David Lafarge

@DavidLPokemon

2 M sur YouTube ♥️- Streamer https://kick.com/DavidLafarge 💚Ma boutique : https://www.blazingtail.fr/ 🔥Ma société de Gradation de Cartes https://sgscards.com/💙

Paris, Ile-de-France https://sgscards.com/ Joined 2015-02-05 Date of Analysis: Dec 16, 2025

121,634

Followers

986

Following

10,107

Tweets

381.7

Avg Engagement

119

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DavidLPokemon'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:2015-02-05
  • Verification:No
  • Location:Paris, Ile-de-France

Data Summary

  • Tweets Analyzed:3,231
  • Avg Likes per Tweet:222.3
  • Avg Retweets per Tweet:159.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,231 tweets

His tweets typically receive an average of 20,032 likes and 2,901 retweets, indicating strong audience interaction. His personal and emotional posts often drive high engagement.

222.3

Avg Likes/Tweet

159.4

Avg Retweets/Tweet

718,363

Total Likes

515,020

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

58

Median Likes

4

Median Retweets

150

75th Percentile

84,712

Top Tweet

3.14

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

58.1%

Original

28.5%

Replies

9.3%

Retweets

4.1%

Quotes

0.0%

Threads

1.1%

With Media

52.3%

With Links

13.1%

With #Tags

45.7%

With @Mentions

53.7%

With Emojis

92

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.49

Reply/Original Ratio

0.43

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.8%

Weekday Posts

29.2%

Weekend Posts

Top Hashtags

#pokemongo (153) #1 (26) #2 (23) #pokemongofest (11) #3 (10) #pokemon (9) #wootboxtrip2 (9) #4 (7) #lafargegang (7) #pokemonepeebouclier (6)

Most Mentioned

@davidlpokemon (187) @chelxie (78) @teufeursoff (66) @newtiteuf (45) @sofyanboudouni (38) @agenlgar (33) @lebidule_ (32) @thekairi78 (28) @bytell2 (22) @yobidius (21)

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Content Strategy Analysis

Based on 3,231 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,876 (58%)
Replies 922 (29%)
Retweets 302 (9%)
Quote Tweets 131 (4%)

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 302 retweets (9% 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 3,231 tweets

Engagement 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 followers

His audience includes Pokémon fans, streamers, and individuals interested in his personal life and business ventures. They engage with his content through likes, retweets, and comments.

Average

Audience Quality

26.4%

Suspicion Index

32.1%

Low-Quality %

11

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.4%

Empty Bio

29.5%

<10 Tweets

2.8%

Mass Following (>2K)

0.0%

New (<90 days)

67.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.5%

No URL

18.8%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

48,623,637

Total Potential Reach

11

Median Follower Reach

51

75th Percentile Reach

1.9%

>1K followers

0.5%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

48.6%

Creators

24,319 accounts

21.8%

Consumers

10,923 accounts

29.5%

Dormant

14,758 accounts

148

Verified Followers

0.3% of total

1.3%

Professional Bios

founder, dev, analyst, etc.

0.05

Median Follow Ratio

follower/following

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):

France (2,206) Paris, France (911) Ile-de-France, France (338) Lyon, France (284) Belgique (281) Paris (202) Marseille, France (199) Toulouse, France (185) Lille, France (168) Bordeaux, France (162)

212

Verified Followers

0.21% of total

5,608

Protected Accounts

5.55% 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
@NetflixFR 10,675,166 Streaming Service Movies, TV shows, Entertainment
@LoganPaul 6,810,442 Influencer Vlogging, Comedy, Fitness
@Seb_Frit 3,117,337 Influencer skin de base, l'3afrit, zèbre
@_Amixem 2,780,384 YouTuber Gaming, MrBeast, French
@cauetofficiel 2,516,994 Radio host Youtube, OneMan, Mix
@RebeuDeter 2,431,809 Influenceur Family, Friends, Positivity
@JoycaOff 2,189,578 YouTuber Comedy, Gaming, Vlogging
@mastuu_ 2,030,114 Food Blogger Food, Pasta, Happiness
@Raphael_Carlier 1,980,056 Content Creator Berserk, Music, Comedy
@AmineMaTue 1,917,018 Student Sadness, Rain, Cool

Top Keywords in Follower Bios

jeux (3,426) video (3,094) youtube (1,940) chaine (1,639) cest (1,632) jaime (1,130) jai (1,060) tout (1,060) pokemon (1,036) vie (1,034)

Top Hashtags in Follower Bios

#teamom (151) #kcorp (97) #vforvictory (74) #slywin (49) #teamol (44) #psg (41) #bitcoin (37) #euro2016 (37) #pokemon (36) #twitch (31)

46,847

Followers With Bio

54,150

Followers Without Bio

46.38%

% With Bio

53.62%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,231 analyzed

313,096

Combined Engagement

43,629

Total Likes

269,467

Total Retweets

62,619

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Personal Updates Pokémon Content Business Promotion Audience Engagement Emotional Expression

Key Insights & Takeaways

He frequently shares personal updates and emotional moments, which resonate with his audience. He uses his platform to promote his YouTube channel, Twitch streams, and business ventures. His content often includes calls for support, indicating a desire for audience interaction and financial backing.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 121,634
  • + 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 @DavidLPokemon reveals an well-established Twitter presence with 121,634 followers. The account demonstrates a content-creator strategy, averaging 381.7 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025