Joe Morrison

Joe Morrison

@joefooty

LIVE Television

Dubai Barcelona Bombay https://www.youtube.com/channel/UCBzI7iqCJFGXP0138cybcvw Joined 2010-10-20 Date of Analysis: Dec 16, 2025

74,902

Followers

757

Following

23,740

Tweets

267.2

Avg Engagement

486

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @joefooty'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:2010-10-20
  • Verification:No
  • Location:Dubai Barcelona Bombay

Data Summary

  • Tweets Analyzed:3,236
  • Avg Likes per Tweet:101.2
  • Avg Retweets per Tweet:166.1
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,236 tweets

Joefooty's tweets receive an average of 7,648 likes and 1,152 retweets, indicating a highly engaged audience. Their content is popular and often shared, especially around major sports events.

101.2

Avg Likes/Tweet

166.1

Avg Retweets/Tweet

327,330

Total Likes

537,353

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

16

Median Likes

1

Median Retweets

74

75th Percentile

61,394

Top Tweet

3.57

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

36.5%

Original

23.8%

Replies

5.5%

Retweets

34.1%

Quotes

0.0%

Threads

2.0%

With Media

68.1%

With Links

33.0%

With #Tags

47.1%

With @Mentions

30.5%

With Emojis

98

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.65

Reply/Original Ratio

6.17

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.5%

Weekday Posts

26.5%

Weekend Posts

Top Hashtags

#ucl (51) #messi (36) #euro2020 (31) #nufc (28) #worldcup (23) #indianfootball (20) #uclfinal (15) #bluetigers (12) #ronaldo (12) #wengerout (11)

Most Mentioned

@1kevincampbell (74) @indianfootball (59) @nufc (43) @championsleague (39) @thebudgietweets (35) @youtube (32) @carltonpalmer (28) @chetrisunil11 (28) @indsuperleague (24) @reid6peter (24)

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 3,236 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,182 (37%)
Replies 770 (24%)
Retweets 179 (6%)
Quote Tweets 1,105 (34%)

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 179 retweets (6% 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 3,236 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 likely includes football fans, sports enthusiasts, and followers of entertainment content. They are engaged with humor, sports events, and celebrity interactions.

Average

Audience Quality

23.0%

Suspicion Index

20.0%

Low-Quality %

57

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.4%

Empty Bio

15.9%

<10 Tweets

19.6%

Mass Following (>2K)

0.0%

New (<90 days)

55.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.4%

No URL

9.6%

<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.

15,624,526

Total Potential Reach

57

Median Follower Reach

194

75th Percentile Reach

6.2%

>1K followers

1.1%

>10K followers

0.4%

>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).

65.8%

Creators

6,576 accounts

18.4%

Consumers

1,835 accounts

15.9%

Dormant

1,589 accounts

71

Verified Followers

0.71% of total

9.4%

Professional Bios

founder, dev, analyst, etc.

0.08

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):

India (371) Kolkata, India (261) Mumbai, India (167) Bengaluru, India (139) Dhaka, Bangladesh (131) New Delhi, India (122) Pune, India (78) Kolkata (65) Mumbai (58) Nepal (53)

71

Verified Followers

0.71% of total

730

Protected Accounts

7.3% 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
@David_Ornstein 1,974,737 Football Correspondent -
@SinghLions 1,328,793 Restaurateur Food, Travel, Influencer
@WeAreMessi 1,118,897 Footballer Football, Barcelona, GOAT
@GuillemBalague 1,062,720 Football Journalist Football, Journalism, Broadcasting
@RVCJ_FB 666,866 Media Entertainment, Humor, Viral
@paul_steele 644,059 Travel Blogger Travel, hiking, photography
@DennisKoutoudis 532,576 - -
@sidlowe 494,175 Football journalist Football, politics, history
@LMessifanclub 306,463 Fan Club Soccer, Messi, Fanclub
@Jesanchez3 275,338 Footballer Football, Enquiries, Bearfaced Talent

Top Keywords in Follower Bios

football (918) sports (461) indian (360) life (278) love (276) lover (275) fc (262) engineer (233) cricket (233) proud (194)

Top Hashtags in Follower Bios

#nufc (37) #indianfootball (26) #mufc (24) #joymohunbagan (21) #football (19) #ynwa (16) #messi (16) #halamadrid (13) #glazersout (13) #ggmu (13)

6,965

Followers With Bio

3,035

Followers Without Bio

69.65%

% With Bio

30.35%

% 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 3,236 analyzed

228,194

Combined Engagement

0

Total Likes

228,194

Total Retweets

45,639

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Sports Entertainment Humor Celebrity Football Memes

Key Insights & Takeaways

Joefooty often uses humor and sarcasm to engage with their audience. They frequently reference sports events and celebrities, which drives interaction. Their content is tailored to a sports and entertainment-focused demographic.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 74,902
  • + 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 @joefooty reveals an well-established Twitter presence with 74,902 followers. The account demonstrates a content-creator strategy, averaging 267.2 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: Dec 16, 2025