Michael Conlan

Michael Conlan

@mickconlan11

Fighter & Father. Former Amateur Commonwealth, European & World Boxing Champ, Olympic medalist. PR & Sponsorships contact: fiona@fionabrowncommunications.com

Belfast / London Joined 2010-04-15 Date of Analysis: Dez 16, 2025

161.787

Followers

1.785

Following

26.021

Tweets

568,8

Avg Engagement

273

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @mickconlan11'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:2010-04-15
  • Verification:No
  • Location:Belfast / London

Data Summary

  • Tweets Analyzed:3.153
  • Avg Likes per Tweet:144,7
  • Avg Retweets per Tweet:424,1
  • Followers Analyzed:50.000

Engagement Analysis

Based on 3.153 tweets

His tweets receive high engagement, with an average of 16,822 likes and 1,266 retweets per post. The content is often lighthearted and personal, encouraging interaction and support.

144,7

Avg Likes/Tweet

424,1

Avg Retweets/Tweet

456.237

Total Likes

1.337.171

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

6

Median Retweets

80

75th Percentile

331.398

Top Tweet

3,52

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

12,6%

Original

18,4%

Replies

63,2%

Retweets

5,8%

Quotes

0,0%

Threads

0,3%

With Media

34,1%

With Links

21,0%

With #Tags

87,9%

With @Mentions

38,7%

With Emojis

105

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1,46

Reply/Original Ratio

0,09

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

67,6%

Weekday Posts

32,4%

Weekend Posts

Top Hashtags

#theconlanrevolution (36) #conlanmarriaga (31) #woodconlan (29) #conlandoheny (21) #boxing (20) #crockerharoyan (17) #andthenew (15) #returnofthemick (11) #belfast (10) #cinchprem (10)

Most Mentioned

@mickconlan11 (475) @conlanboxing (221) @trboxing (125) @boxingticketsni (99) @jamieconlan11 (78) @ryanmcl2 (73) @feilebelfast (72) @kurtwalker7 (67) @kieranmolloy8 (65) @paddyb_ireland (65)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3.153 tweets

Content Type Distribution

Content Breakdown

Original Tweets 397 (13%)
Replies 580 (18%)
Retweets 1.992 (63%)
Quote Tweets 184 (6%)

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 1.992 retweets (63% 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 3.153 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 boxing fans, sports enthusiasts, and potential sponsors or partners. The audience is likely interested in his career, personal life, and professional opportunities.

Average

Audience Quality

20,9%

Suspicion Index

30,1%

Low-Quality %

75

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

48,2%

Empty Bio

18,6%

<10 Tweets

10,6%

Mass Following (>2K)

0,0%

New (<90 days)

40,3%

Low Ratio (<0.1)

0,0%

New (<180 days)

92,6%

No URL

11,9%

<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 Detector

Follower Reach & Influence

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

56.656.522

Total Potential Reach

75

Median Follower Reach

249

75th Percentile Reach

6,1%

>1K followers

0,7%

>10K followers

0,2%

>50K followers

0,1%

>100K followers

Creator vs Consumer Split

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

62,2%

Creators

31.092 accounts

19,2%

Consumers

9.624 accounts

18,6%

Dormant

9.284 accounts

198

Verified Followers

0,4% of total

3,4%

Professional Bios

founder, dev, analyst, etc.

0,14

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 (1.437) Dublin City, Ireland (919) Glasgow, Scotland (833) Belfast, Northern Ireland (665) London, England (397) United Kingdom (390) Scotland, United Kingdom (376) Belfast (376) Cork, Ireland (348) Glasgow (331)

299

Verified Followers

0.3% of total

12.545

Protected Accounts

12.42% of total

7 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 14.100.863 Wrestler Wrestling, Motivation, Self-promotion
@Joey7Barton 2.847.389 Footballer Football, Philosophy, Self-improvement
@GazGShore 2.132.708 Reality TV Star Reality TV, Fitness, Fashion
@sportbible 2.088.101 Sports Media Sport, Lifestyle, Entertainment
@KameronBennett 1.823.367 DJ Music, DJing, Booking
@NoContextHumans 1.761.771 Social Media Manager Race, Promotion, Business
@arielhelwani 1.331.765 Journalist MMA, Spotify, BTSport
@guardian_sport 906.119 Sports News news, comment, video
@CelticFC 890.641 Football Club Football, Charity, Kindness
@ZachBoychuk 828.619 Hockey Player Hockey, Meme/NFT Trading, Ethereum

Top Keywords in Follower Bios

boxing (4.036) love (2.591) celtic (2.372) football (1.794) life (1.737) sports (1.732) irish (1.468) fc (1.149) views (1.134) family (1.107)

Top Hashtags in Follower Bios

#boxing (241) #mufc (173) #lfc (151) #ynwa (150) #mma (85) #glazersout (82) #ufc (69) #coys (51) #1 (51) #lufc (49)

45.804

Followers With Bio

55.194

Followers Without Bio

45.35%

% With Bio

54.65%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3.153 analyzed

646.308

Combined Engagement

47.620

Total Likes

598.688

Total Retweets

129.262

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Boxing Fatherhood Personal Branding Sports Engagement Sponsorship

Key Insights & Takeaways

He leverages his personal brand and career achievements to connect with followers. His content often includes personal moments, such as family and sports events, which foster a sense of community. He maintains a professional tone while also showing a more relatable and approachable side.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 161.787
  • + 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 @mickconlan11 reveals an well-established Twitter presence with 161.787 followers. The account demonstrates a conversation-first approach, averaging 568,8 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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: Dez 16, 2025