Kick It Out

Kick It Out

@kickitout

We're here to put an end to all forms of discrimination within sports. Report discrimination to us here: https://www.kickitout.org/report

England https://www.kickitout.org/ Joined 2009-04-07 Date of Analysis: Dec 16, 2025

93,384

Followers

4,574

Following

25,613

Tweets

162.6

Avg Engagement

520

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @kickitout'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:2009-04-07
  • Verification:No
  • Location:England

Data Summary

  • Tweets Analyzed:3,194
  • Avg Likes per Tweet:27.5
  • Avg Retweets per Tweet:135.1
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,194 tweets

The account has a high average number of likes and retweets, showing strong audience interaction. The content is often shared and discussed, indicating its relevance and impact.

27.5

Avg Likes/Tweet

135.1

Avg Retweets/Tweet

87,693

Total Likes

431,586

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

7

Median Retweets

37

75th Percentile

101,439

Top Tweet

1.74

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

26.2%

Original

9.3%

Replies

43.4%

Retweets

21.1%

Quotes

0.0%

Threads

0.6%

With Media

88.4%

With Links

47.0%

With #Tags

75.5%

With @Mentions

56.0%

With Emojis

197

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.36

Reply/Original Ratio

0.49

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

83.6%

Weekday Posts

16.4%

Weekend Posts

Top Hashtags

#fansfordiversity (167) #kickitout (153) #kickitoutgeneration (148) #ryg20 (139) #takeastand (104) #blacklivesmatter (58) #gettingthethirddegree (52) #blackhistorymonth (40) #womeninfootball (24) #nonleagueday (21)

Most Mentioned

@kickitout (808) @wearethefsa (169) @towno10 (168) @kickitoutryg (129) @anwaru01 (87) @sanjaykickitout (74) @fa (69) @premierleague (63) @womeninfootball (58) @ucfb (50)

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Content Strategy Analysis

Based on 3,194 tweets

Content Type Distribution

Content Breakdown

Original Tweets 836 (26%)
Replies 297 (9%)
Retweets 1,387 (43%)
Quote Tweets 674 (21%)

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 1,387 retweets (43% 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 3,194 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 sports fans, athletes, and anti-discrimination advocates who are interested in social justice within sports. They are also interested in real-time updates and responses to incidents of discrimination.

Good

Audience Quality

17.4%

Suspicion Index

14.4%

Low-Quality %

173

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

21.8%

Empty Bio

11.5%

<10 Tweets

23.1%

Mass Following (>2K)

0.0%

New (<90 days)

31.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

76.7%

No URL

7.0%

<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.

34,409,634

Total Potential Reach

173

Median Follower Reach

577

75th Percentile Reach

16.4%

>1K followers

2.2%

>10K followers

0.5%

>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).

73.8%

Creators

7,380 accounts

14.7%

Consumers

1,474 accounts

11.5%

Dormant

1,146 accounts

108

Verified Followers

1.08% of total

11.2%

Professional Bios

founder, dev, analyst, etc.

0.21

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):

London, England (355) London (205) United Kingdom (191) England, United Kingdom (176) Manchester, England (97) UK (85) Birmingham, England (57) Liverpool, England (45) Leeds, England (42) North West, England (41)

108

Verified Followers

1.08% of total

838

Protected Accounts

8.38% 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 14,094,110 Wrestler Wrestling, Motivation, Self-promotion
@MayorofLondon 3,209,952 Politician Politics, Family, London
@saatchi_gallery 1,844,797 Art Gallery contemporary art, culture, London grads
@BurnleyOfficial 781,559 Football Club Football, Turf Moor, #OneClubForAll
@Charlie26Adam 441,861 Football Coach Football, Coaching, Management
@Moreno 430,854 Influencer Business, Manager, Serious
@Gunnersc0m 336,995 Sports Media Football, Arsenal, Betting
@CFCBlues_com 297,346 Sports Media Football, Chelsea FC, Betting
@ThomasHitz 240,671 - -
@comicrelief 235,275 Charity Comedy, Charity, Poverty

Top Keywords in Follower Bios

football (1,062) views (467) love (365) sports (347) fc (323) club (270) coach (241) life (229) league (221) team (220)

Top Hashtags in Follower Bios

#coys (38) #ynwa (35) #mufc (30) #glazersout (27) #nufc (21) #football (21) #blacklivesmatter (16) #hergametoo (16) #blm (16) #freepalestine (16)

7,819

Followers With Bio

2,181

Followers Without Bio

78.19%

% With Bio

21.81%

% 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 3,194 analyzed

242,014

Combined Engagement

0

Total Likes

242,014

Total Retweets

48,403

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Anti-Discrimination Sports Justice Accountability Social Justice Public Awareness Incident Reporting

Key Insights & Takeaways

The account frequently responds to recent incidents of discrimination, showing a proactive approach to addressing issues. It calls for strict consequences from governing bodies like UEFA, indicating a focus on accountability. The use of direct links to reports suggests a commitment to transparency and actionable solutions.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 93,384
  • + 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 @kickitout reveals an well-established Twitter presence with 93,384 followers. The account demonstrates a content-creator strategy, averaging 162.6 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