Ipswich Town
The official X account of Ipswich Town Football Club. #itfc
234,788
Followers
124
Following
62,989
Tweets
223.9
Avg Engagement
1,261
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IpswichTown'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:2011-08-16
- Verification:Yes
- Location:Portman Road, Ipswich
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:210.3
- Avg Retweets per Tweet:13.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account has a strong engagement rate, with an average of 2,198 likes and 848 retweets per tweet. This indicates a loyal and active fan base that interacts with the club's content regularly.
210.3
Avg Likes/Tweet
13.6
Avg Retweets/Tweet
683,367
Total Likes
44,031
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
91
Median Likes
4
Median Retweets
297
75th Percentile
3,770
Top Tweet
0.95
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
83.3%
Original
4.1%
Replies
5.4%
Retweets
7.2%
Quotes
0.0%
Threads
0.0%
With Media
48.2%
With Links
93.3%
With #Tags
22.0%
With @Mentions
55.1%
With Emojis
102
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
1.32
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
59.9%
Weekday Posts
40.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 176 retweets (5% 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 3,249 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 football fans, particularly supporters of Ipswich Town, who are interested in match highlights and club news. The audience is likely to be engaged with real-time updates and player recognition.
Average
Audience Quality
32.5%
Suspicion Index
41.4%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.7%
Empty Bio
45.9%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
67.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
33.1%
<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.
30,175,187
Total Potential Reach
13
Median Follower Reach
80
75th Percentile Reach
3.0%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
32.0%
Creators
15,992 accounts
22.1%
Consumers
11,071 accounts
45.9%
Dormant
22,937 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):
186
Verified Followers
0.18% of total
8,348
Protected Accounts
8.27% of total
4 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 | 14,100,191 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mertesacker | 1,495,711 | Coach | football, coaching, Arsenal |
| @EmiratesFACup | 1,005,671 | Sports Organization | Football, Competition, Trophy |
| @footballdaily | 716,327 | Sports Journalist | Breaking news, press conferences, interviews |
| @KevinandTrevor | 696,817 | - | - |
| @L9arami | 609,225 | - | - |
| @aliececom | 590,396 | Sports Commentator | Sports, Communication, Contact |
| @DaveVescio | 539,372 | Actor | Movies, Art, Transformation |
| @tirta_cipeng | 497,623 | Doctor | shoes, fashion, travel |
| @JeffBrazier | 467,135 | Life Coach | Community, Life Coaching, Author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,297
Followers With Bio
43,701
Followers Without Bio
56.73%
% With Bio
43.27%
% 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 3,249 analyzed14,789
Combined Engagement
9,269
Total Likes
5,520
Total Retweets
2,958
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
🎁 #itfc advent calendar - day 24 🎁 Your chance to win a blackout third shirt signed by the Town first-team! Simply RT to enter. 💪 https://t.co/5BuVNte7v1
🤩 What a moment for Nathan Broadhead! @Cymru | #itfc https://t.co/ocdXmrhXao
🤞 GIVEAWAY! Retweet this post to be in with a chance of winning a signed Harry Clarke shirt. Good luck! 🍀 @HarryyClarke6 | #itfc https://t.co/VwsoOEFfmR
Very good Davis. @Leifdavis_3 | #itfc https://t.co/AeDyERr6bF
🎩 #itfc https://t.co/ricOPWQ9bd
Key Insights & Takeaways
The account frequently shares highlights of player performances, which likely drives engagement and fan interest. It uses hashtags like #itfc to reinforce brand identity and community. The top tweets include links to external content, suggesting a mix of promotional and celebratory posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 234,788
- + 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 @IpswichTown reveals an well-established Twitter presence with 234,788 followers. The account demonstrates a content-creator strategy, averaging 223.9 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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