Manchester City
𝐸𝓈𝓉. 1894 🩵 Love This City! 🏆 x1 UCL winners, 9x League champions, x1 WSL champions | 💬 Fan support: @ManCityHelp
17.245.285
Followers
48.548
Following
161.351
Tweets
4.947,7
Avg Engagement
19.612
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ManCity'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:2008-04-28
- Verification:Yes
- Location:Etihad Stadium
Data Summary
- Tweets Analyzed:3.245
- Avg Likes per Tweet:4.572,3
- Avg Retweets per Tweet:375,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.245 tweetsThe account maintains high engagement levels through consistent interaction and emotionally charged content. Fan support and celebratory messages drive significant likes and retweets.
4.572,3
Avg Likes/Tweet
375,4
Avg Retweets/Tweet
14.837.095
Total Likes
1.218.201
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1.636
Median Likes
107
Median Retweets
4.977
75th Percentile
320.991
Top Tweet
0,29
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84,4%
Original
4,7%
Replies
6,7%
Retweets
4,2%
Quotes
0,0%
Threads
0,1%
With Media
70,5%
With Links
41,8%
With #Tags
43,4%
With @Mentions
90,3%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,06
Reply/Original Ratio
0,63
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66,1%
Weekday Posts
33,9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.245 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 217 retweets (7% 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 3.245 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 audience is primarily football fans, especially those who support Manchester City, with a global reach due to the club's international success. It also includes media outlets and other sports enthusiasts.
Below Average
Audience Quality
45,6%
Suspicion Index
74,5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
77,3%
Empty Bio
80,6%
<10 Tweets
0,9%
Mass Following (>2K)
0,0%
New (<90 days)
83,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
97,3%
No URL
71,8%
<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.
3.287.797
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0,9%
>1K followers
0,1%
>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).
10,2%
Creators
5.102 accounts
9,2%
Consumers
4.598 accounts
80,6%
Dormant
40.300 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):
65
Verified Followers
0.06% of total
9.928
Protected Accounts
9.84% of total
1 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4.363.098 | - | - |
| @EASPORTS | 2.245.258 | Gaming | sports, gaming, entertainment |
| @gxrcete | 125.488 | Writer | Clouds, Tweets |
| @CliveTyldesley | 121.210 | Sports Commentator | Football, Commentator, Broadcaster |
| @ElChiIaquil | 112.823 | Influencer | Italiano, México, Agradecido |
| @SanriParcacigi | 102.777 | Scientist | Bisiklet, Bilim, Bilişim |
| @prett__hannah | 83.639 | - | - |
| @SebasDecker | 77.028 | Sports Commentator | Deportes, Comentarista, Autor |
| @LokyMann | 70.318 | Sports Analyst | Football, Chelsea, Thinking |
| @leocarjr | 59.657 | Influencer | felicidade, paternidade, vida |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
21.240
Followers With Bio
79.701
Followers Without Bio
21.04%
% With Bio
78.96%
% 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 3.245 analyzed955.381
Combined Engagement
906.472
Total Likes
48.909
Total Retweets
191.076
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
THAT WAS INCREDIBLE, JULIAN!
PROUD. https://t.co/ttCaTNM2Yg
🤩🕷 https://t.co/nT9zCULf25
WORLD CUP CHAMPION! 🕷💙 https://t.co/q7oZlkSe4z
ALVAREZ AGAIN! 🤩🕷
Key Insights & Takeaways
The account emphasizes emotional and celebratory content, which resonates strongly with fans. It leverages its large following to amplify key moments and achievements. Engagement is driven by fan interaction and the club's success stories.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 17.245.285
- + 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 @ManCity reveals an exceptionally influential Twitter presence with 17.245.285 followers. The account demonstrates a content-creator strategy, averaging 4.947,7 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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