ᴍɪᴄʜᴀʟᴀᴋ ғʀᴇᴅᴇʀɪᴄ

ᴍɪᴄʜᴀʟᴀᴋ ғʀᴇᴅᴇʀɪᴄ

@michalakfred

𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫 #𝚂𝚙𝚘𝚛𝚝 #𝙸𝚗𝚗𝚘𝚟𝚊𝚝𝚒𝚘𝚗 #𝙸𝚗𝚟𝚎𝚜𝚝 #𝙲𝚘𝚊𝚌𝚑𝚒𝚗𝚐

France https://linktr.ee/Michalakfred Joined 2013-04-28 Date of Analysis: Dec 16, 2025

107,677

Followers

3,223

Following

810

Tweets

113.6

Avg Engagement

50

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @michalakfred'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:2013-04-28
  • Verification:No
  • Location:France

Data Summary

  • Tweets Analyzed:758
  • Avg Likes per Tweet:76.3
  • Avg Retweets per Tweet:37.3
  • Followers Analyzed:10,000

Engagement Analysis

Based on 758 tweets

The average engagement per tweet is moderate, with a focus on likes over retweets. Their top tweets often include personal recognition and sports highlights.

76.3

Avg Likes/Tweet

37.3

Avg Retweets/Tweet

57,829

Total Likes

28,283

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

2

Median Retweets

43

75th Percentile

13,349

Top Tweet

1.06

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

28.0%

Original

29.8%

Replies

32.3%

Retweets

9.9%

Quotes

0.0%

Threads

0.9%

With Media

64.8%

With Links

37.2%

With #Tags

89.3%

With @Mentions

71.6%

With Emojis

161

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.07

Reply/Original Ratio

0.31

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

75.2%

Weekday Posts

24.8%

Weekend Posts

Top Hashtags

#sportech (38) #sportunlimitech (37) #innovation (32) #sport (31) #performance (16) #rwc2023 (15) #nice (11) #monacorugby7s (9) #sporttech (8) #startup (8)

Most Mentioned

@sportunlimitech (226) @michalakfred (66) @francerugby (45) @france2023 (45) @monacorugby7s (35) @canalrugbyclub (34) @supersevens (32) @sebchabal (25) @stadetoulousain (23) @blagnacrugby (19)

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Content Strategy Analysis

Based on 758 tweets

Content Type Distribution

Content Breakdown

Original Tweets 212 (28%)
Replies 226 (30%)
Retweets 245 (32%)
Quote Tweets 75 (10%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 245 retweets (32% 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 758 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 10,000 followers

The audience appears to be interested in sports, particularly rugby, and innovation. They are likely fans of French sports teams and events.

Average

Audience Quality

25.7%

Suspicion Index

32.4%

Low-Quality %

29

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

47.7%

Empty Bio

25.2%

<10 Tweets

10.8%

Mass Following (>2K)

0.0%

New (<90 days)

57.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.5%

No URL

17.1%

<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.

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Follower Reach & Influence

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

35,017,088

Total Potential Reach

29

Median Follower Reach

144

75th Percentile Reach

8.2%

>1K followers

1.6%

>10K followers

0.5%

>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).

54.9%

Creators

5,486 accounts

19.9%

Consumers

1,994 accounts

25.2%

Dormant

2,520 accounts

65

Verified Followers

0.65% of total

5.3%

Professional Bios

founder, dev, analyst, etc.

0.07

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 (369) Paris, France (347) Toulouse, France (174) Paris (169) Lyon, France (87) Ile-de-France, France (77) Bordeaux, France (50) Marseille, France (47) Toulouse (38) Toulon, France (32)

65

Verified Followers

0.65% of total

863

Protected Accounts

8.63% 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
@JohnCena 14,093,415 Wrestler Wrestling, Motivation, Self-promotion
@lequipe 6,557,052 Sports News sports, real-time news, social media
@AllBlacks 1,046,554 Sports Team Rugby, New Zealand, Sports
@tsonga7 899,936 Tennis Player Tennis, France, Academy
@guillaumepley 651,496 Comedian Comedy, Fatherhood, Business
@FecafootOfficie 425,936 Football Federation Football, Cameroon, Official
@RonanOGara10 421,033 Rugby Player rugby, coaching, punditry
@Francois_Ruffin 411,739 Politician politics, social justice, community advocacy
@Ronald_vanLoon 309,248 Data Scientist AI, Big Data, IoT
@LouisSerge 303,009 - -

Top Keywords in Follower Bios

rugby (568) sport (328) sports (164) france (153) vie (129) cest (127) journaliste (104) tout (103) compte (98) paris (95)

Top Hashtags in Follower Bios

#sport (72) #rugby (47) #innovation (38) #digital (36) #teamom (36) #sports (22) #rse (20) #communication (20) #e (19) #tech (18)

5,227

Followers With Bio

4,773

Followers Without Bio

52.27%

% With Bio

47.73%

% 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 758 analyzed

34,581

Combined Engagement

14,865

Total Likes

19,716

Total Retweets

6,916

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

60%

With @Mentions

100%

With Links

Topical Analysis:

Entrepreneurship Sports Innovation Investment Coaching

Key Insights & Takeaways

Their content is heavily focused on sports achievements and personal recognition They use hashtags to emphasize key themes like innovation and investment They often reference specific historical and recent sports events to connect with their audience

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 107,677
  • + High community engagement through conversations
  • + 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 @michalakfred reveals an well-established Twitter presence with 107,677 followers. The account demonstrates a conversation-first approach, averaging 113.6 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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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