Swansea City AFC
🦢 The official account of Swansea City Football Club. ⚪️⚫️ @swans_academy 🦢 | @SwansWomen 👩 | @SwansFdn 📚 | @SwansJnrJacks 👶| @swans_support 💻
1,046,261
Followers
520
Following
77,836
Tweets
83.2
Avg Engagement
3,724
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SwansOfficial'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: Mega Influencer (1M+)
- Account Age:2012-01-23
- Verification:No
- Location:Swansea
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:75.8
- Avg Retweets per Tweet:7.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a moderate engagement rate with an average of 1,523 likes and 317 retweets per tweet. The content is designed to encourage interaction and anticipation for events.
75.8
Avg Likes/Tweet
7.4
Avg Retweets/Tweet
246,452
Total Likes
24,027
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
2
Median Retweets
79
75th Percentile
2,561
Top Tweet
0.08
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
46.2%
Original
34.6%
Replies
14.4%
Retweets
4.9%
Quotes
0.0%
Threads
0.2%
With Media
79.2%
With Links
38.2%
With #Tags
56.4%
With @Mentions
84.7%
With Emojis
152
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.75
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.3%
Weekday Posts
31.7%
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 468 retweets (14% 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 consists of Swansea City fans, including supporters of the men's, women's, and youth teams. The audience is likely interested in club news, match updates, and community involvement.
Average
Audience Quality
34.8%
Suspicion Index
41.5%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.6%
Empty Bio
51.4%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
73.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
36.3%
<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.
36,169,999
Total Potential Reach
10
Median Follower Reach
58
75th Percentile Reach
2.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
24.7%
Creators
12,355 accounts
23.9%
Consumers
11,932 accounts
51.4%
Dormant
25,713 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):
265
Verified Followers
0.26% of total
6,841
Protected Accounts
6.77% of total
3 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 | 14,105,310 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BBCMOTD | 3,358,189 | Football Coverage | football, coverage, follow |
| @SinghLions | 1,335,118 | Restaurateur | Food, Travel, Influencer |
| @RealMattLucas | 1,259,315 | Actor | Comedy, Acting, Television |
| @WatfordFC | 905,664 | Football Club | Football, Hornets, Women |
| @NorwichCityFC | 877,720 | Football Club | Football, Norwich, Community |
| @BurnleyOfficial | 773,232 | Football Club | Football, Turf Moor, #OneClubForAll |
| @WipeHomophobia | 697,219 | - | - |
| @L9arami | 608,624 | - | - |
| @markingramII | 604,556 | Football Player | Football, Faith, Soccer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,270
Followers With Bio
41,727
Followers Without Bio
58.68%
% With Bio
41.32%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed11,133
Combined Engagement
9,685
Total Likes
1,448
Total Retweets
2,227
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Tomorrow. 12pm. Derby Day. 🦢 https://t.co/AaC9THJ0II
👀 @CursedEFL https://t.co/0cNokNx8Nj
GET IN 😍 https://t.co/GmYYIPzzQo
Wait 'til the end... 🪱 😅 https://t.co/CrkTZRKqn7
Actually, make mine a double double x https://t.co/zQEQdniQbO
Key Insights & Takeaways
The account uses emojis and playful language to create a friendly and approachable tone. It emphasizes key events like Derby Day to generate excitement and engagement. It links to various team-specific accounts, expanding its reach and community involvement.
Strengths
- + Established follower base of 1,046,261
- + 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 @SwansOfficial reveals an growing Twitter presence with 1,046,261 followers. The account demonstrates a content-creator strategy, averaging 83.2 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.
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