Professional Footballers’ Association
The professional footballers' trade union. Since 1907.
228,150
Followers
6,405
Following
16,050
Tweets
659.4
Avg Engagement
694
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PFA'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:2011-08-12
- Verification:Yes
- Location:England
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:151.9
- Avg Retweets per Tweet:507.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives high average likes and retweets, indicating strong audience interaction. Its content is well-received and widely shared across the football community.
151.9
Avg Likes/Tweet
507.5
Avg Retweets/Tweet
493,536
Total Likes
1,649,528
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
3
Median Retweets
64
75th Percentile
553,154
Top Tweet
2.89
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
45.5%
Original
31.6%
Replies
11.7%
Retweets
11.1%
Quotes
0.0%
Threads
0.1%
With Media
64.5%
With Links
30.1%
With #Tags
78.2%
With @Mentions
74.9%
With Emojis
129
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.2%
Weekday Posts
21.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
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 381 retweets (12% 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 3,250 tweetsEngagement 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 followersThe primary audience includes football fans, players, and media outlets interested in player achievements. The account also targets sports organizations and sponsors.
Average
Audience Quality
21.7%
Suspicion Index
19.3%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.2%
Empty Bio
15.7%
<10 Tweets
19.6%
Mass Following (>2K)
0.0%
New (<90 days)
48.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
9.4%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
105,267,412
Total Potential Reach
87
Median Follower Reach
323
75th Percentile Reach
10.0%
>1K followers
1.3%
>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).
65.2%
Creators
32,591 accounts
19.1%
Consumers
9,539 accounts
15.7%
Dormant
7,870 accounts
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):
462
Verified Followers
0.46% of total
10,491
Protected Accounts
10.39% 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 | 14,099,714 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Persie_Official | 9,263,032 | Footballer | Football, Contact, Management |
| @goal | 8,210,510 | Football Analyst | football, news, insight |
| @ElNennY | 5,211,917 | Footballer | Football, Arsenal, Egypt |
| @Lord_Sugar | 5,201,617 | Entrepreneur | business, entrepreneurship, technology |
| @fifacom_ar | 4,772,326 | Sports News | Football, News, Updates |
| @luisnani | 3,894,730 | Footballer | Football, Champion, Winner |
| @Benayadachraf | 3,495,044 | Unknown | Technology, Innovation, Entrepreneurship |
| @EPLworld | 3,178,890 | Sports journalist | English Premier League, European football, Arab football |
| @IanWright0 | 2,282,033 | Footballer | Football, Podcasting, Writing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,779
Followers With Bio
31,218
Followers Without Bio
69.09%
% With Bio
30.91%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed954,894
Combined Engagement
0
Total Likes
954,894
Total Retweets
190,979
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @MarcusRashford: https://t.co/bs9lksGM4q
RT @MarcusRashford: https://t.co/A8WIIUCHrH
RT @ChelseaFC: CHAMPIONS OF EUROPE!!! 🏆 #ChelseaChampions #UCLFinal https://t.co/Wz000kegmG
RT @ChelseaFC: We've won it all. 🔵 https://t.co/rE5k5yV6RM
Key Insights & Takeaways
The PFA emphasizes player recognition and awards, which drives engagement and visibility. Content is tailored to highlight individual player achievements, aligning with fan interests. The use of hashtags and official accounts enhances the reach and credibility of the tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 228,150
- + 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 @PFA reveals an well-established Twitter presence with 228,150 followers. The account demonstrates a content-creator strategy, averaging 659.4 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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