Michael Fry

Michael Fry

@BigDirtyFry

Comedian, actor and entire Indie Band. #DerryGirls #Holding #TheMichaelFryShow Management: @Collab_Agency UK Acting: @ebdonmgmt VO: @voicebankie (He/Him)

Dublin City, Ireland https://www.edfringe.com/tickets/whats-on/evening-with-michael-fry-and-killian-sundermann Joined 2017-04-05 Date of Analysis: Dec 16, 2025

126,120

Followers

2,781

Following

21,744

Tweets

1,421.0

Avg Engagement

199

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @BigDirtyFry'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:2017-04-05
  • Verification:No
  • Location:Dublin City, Ireland

Data Summary

  • Tweets Analyzed:3,200
  • Avg Likes per Tweet:297.4
  • Avg Retweets per Tweet:1,123.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,200 tweets

BigDirtyFry's tweets receive high engagement, with an average of 18k likes and 2k retweets. Their content is well-received and often shared across platforms.

297.4

Avg Likes/Tweet

1,123.6

Avg Retweets/Tweet

951,666

Total Likes

3,595,599

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

13

Median Likes

3

Median Retweets

411

75th Percentile

159,899

Top Tweet

11.27

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

16.4%

Original

42.9%

Replies

28.4%

Retweets

12.2%

Quotes

0.0%

Threads

0.2%

With Media

47.5%

With Links

7.8%

With #Tags

58.6%

With @Mentions

4.2%

With Emojis

106

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.62

Reply/Original Ratio

0.43

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.7%

Weekday Posts

22.3%

Weekend Posts

Top Hashtags

#eurovision (49) #loveisland (40) #latelatetoyshow (26) #nwin (19) #creidimionat (12) #derrygirls (11) #eastenders (5) #gbbo (5) #mbf (4) #sp (4)

Most Mentioned

@bigdirtyfry (133) @seanburkeshow (101) @eleanormorton (54) @tvscarlkinsella (38) @killersundymann (30) @gerrymcbride (22) @gavreilly (19) @hansmollman (16) @peterjmcgann (16) @rauss_mc (16)

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Content Strategy Analysis

Based on 3,200 tweets

Content Type Distribution

Content Breakdown

Original Tweets 525 (16%)
Replies 1,373 (43%)
Retweets 910 (28%)
Quote Tweets 392 (12%)

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 910 retweets (28% 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 3,200 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

The audience appears to enjoy humor, celebrity gossip, and niche entertainment. They are likely young adults interested in comedy, pop culture, and unconventional storytelling.

Average

Audience Quality

20.1%

Suspicion Index

26.4%

Low-Quality %

92

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

42.1%

Empty Bio

16.3%

<10 Tweets

14.4%

Mass Following (>2K)

0.0%

New (<90 days)

38.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.0%

No URL

10.7%

<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.

61,667,845

Total Potential Reach

92

Median Follower Reach

301

75th Percentile Reach

9.5%

>1K followers

1.2%

>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).

66.7%

Creators

33,327 accounts

17.0%

Consumers

8,513 accounts

16.3%

Dormant

8,160 accounts

171

Verified Followers

0.34% of total

9.7%

Professional Bios

founder, dev, analyst, etc.

0.15

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):

Ireland (1,926) Dublin City, Ireland (1,402) Dublin (1,041) London (860) London, England (851) Dublin, Ireland (648) Cork, Ireland (479) Belfast, Northern Ireland (354) United Kingdom (304) Belfast (300)

257

Verified Followers

0.25% of total

16,478

Protected Accounts

16.32% 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
@wossy 4,888,455 TV Presenter self-indulgent, Instagram, life
@daraobriain 2,625,704 Comedian Science, Comedy, Touring
@louistheroux 2,244,671 Documentary Filmmaker Documentaries, Irony, Filmmaking
@bunnydelphine 2,067,534 Influencer cats, cosplay, gaming
@empireofthekop 1,928,832 Football Fan Liverpool, football, fans
@rickmercer 1,680,232 Comedian Comedy, Politics, Canada
@SinghLions 1,333,536 Restaurateur Food, Travel, Influencer
@RealMattLucas 1,258,313 Actor Comedy, Acting, Television
@RexChapman 1,254,480 Commentator Basketball, Horse racing, Commentary
@PFTompkins 1,220,743 Comedian TV, standup, improv

Top Keywords in Follower Bios

views (4,178) sheher (2,816) irish (1,998) music (1,971) love (1,877) hehim (1,734) lover (1,503) life (1,445) things (1,359) ireland (1,358)

Top Hashtags in Follower Bios

#mufc (127) #lfc (101) #blacklivesmatter (88) #blm (85) #ynwa (84) #andacyclist (75) #fbpe (67) #freepalestine (62) #repealedthe8th (57) #lufc (53)

59,154

Followers With Bio

41,844

Followers Without Bio

58.57%

% With Bio

41.43%

% 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 3,200 analyzed

561,897

Combined Engagement

0

Total Likes

561,897

Total Retweets

112,379

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Comedy Pop Culture Celebrity News Niche Humor Viral Content

Key Insights & Takeaways

Content that blends humor with unexpected celebrity news tends to perform well Niche topics like 'Your Great Uncle Ashley' resonate with a specific audience Engaging with pop culture and viral moments helps drive interaction

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 126,120
  • + 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 @BigDirtyFry reveals an exceptionally influential Twitter presence with 126,120 followers. The account demonstrates a conversation-first approach, averaging 1,421.0 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