City Xtra
Complete #ManCity coverage: News, transfers, match commentary • @The_FCAs Winner 2021, 2022, 2023 & @NWFAwards 2023 Winner • Contact: [email protected]
709,570
Followers
1,020
Following
80,031
Tweets
1,852.6
Avg Engagement
1,748
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @City_Xtra'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:2017-06-08
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1,739.0
- Avg Retweets per Tweet:113.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a high level of engagement, with tweets receiving significant likes and retweets. The content is well-received, indicating a strong connection with its audience.
1,739.0
Avg Likes/Tweet
113.6
Avg Retweets/Tweet
5,651,731
Total Likes
369,271
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,056
Median Likes
47
Median Retweets
2,366
75th Percentile
31,845
Top Tweet
2.61
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
88.1%
Original
6.0%
Replies
1.5%
Retweets
4.4%
Quotes
0.0%
Threads
0.1%
With Media
38.5%
With Links
59.2%
With #Tags
53.3%
With @Mentions
28.8%
With Emojis
146
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
2.98
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.0%
Weekday Posts
33.0%
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 48 retweets (1% 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 Manchester City fans and football enthusiasts interested in the latest club news and analysis. The content also appeals to followers of Premier League football and rival teams like Liverpool.
Average
Audience Quality
34.0%
Suspicion Index
48.1%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.9%
Empty Bio
51.7%
<10 Tweets
3.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
37.2%
<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.
10,885,412
Total Potential Reach
8
Median Follower Reach
42
75th Percentile Reach
2.1%
>1K followers
0.2%
>10K followers
0.0%
>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).
26.6%
Creators
13,310 accounts
21.7%
Consumers
10,835 accounts
51.7%
Dormant
25,855 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):
170
Verified Followers
0.17% of total
8,369
Protected Accounts
8.29% of total
2 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 | 14,105,070 | Wrestler | Wrestling, Motivation, Self-promotion |
| @okx | 2,933,156 | Cryptocurrency Exchange | Bitcoin, Crypto, Exchange |
| @SirKunt | 2,254,444 | - | - |
| @LeBronJames | 1,005,339 | - | - |
| @Buncaw | 448,734 | - | - |
| @NathanAke | 446,730 | Footballer | Football, Fitness, Travel |
| @CryptoBro100x | 381,374 | Cryptocurrency Trader | Trading, Promoting, Community |
| @indykaila | 379,957 | Football Journalist | Football, Transfer Updates, News |
| @rhysiedarby | 344,275 | Author | comedy, author, children's books |
| @iMiaSanMia | 340,190 | Football Fan | Bayern, Germany, Die Mannschaft |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,799
Followers With Bio
59,200
Followers Without Bio
41.39%
% With Bio
58.61%
% 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 analyzed123,492
Combined Engagement
112,044
Total Likes
11,448
Total Retweets
24,698
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Kevin De Bruyne on Instagram. 🍻😂 https://t.co/ZyX9DqnI32
"I admire them both, #ManCity and Liverpool. They play fantastic football. But eras come to an end." - Erik ten Hag. https://t.co/vaOh8gwMrr
Pep Guardiola on whether Manchester United can become regular #PL challengers: "If they spend a little bit more money, yeah... Because they didn’t spend, did they...?" [via @BeanymanSports] https://t.co/sv5X7s8RNO
𝗝𝗢𝗛𝗡𝗡𝗬, 𝗝𝗢𝗛𝗡𝗡𝗬 𝗦𝗧𝗢𝗢𝗢𝗢𝗢𝗢𝗡𝗘𝗦!!! ⭐️ #UCL https://t.co/x3GCe7seig
Our boys in Milan. 🇮🇹😁 https://t.co/iFPc2oRi7n
Key Insights & Takeaways
The account frequently shares content related to key players and managers, highlighting their perspectives and opinions. It includes a mix of news, commentary, and quotes from football figures, which helps maintain audience interest. The use of verified sources and official awards adds credibility to the content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 709,570
- + 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 @City_Xtra reveals an exceptionally influential Twitter presence with 709,570 followers. The account demonstrates a content-creator strategy, averaging 1,852.6 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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