Man City Women

Man City Women

@ManCityWomen

The official Manchester City Women match day account | Follow the women’s team beyond the game @ManCity | Supporter Services @ManCityHelp

Manchester https://www.mancity.com/fixtures/womens Joined 2011-07-29 Date of Analysis: Dec 16, 2025

220,632

Followers

892

Following

27,247

Tweets

313.1

Avg Engagement

977

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ManCityWomen'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:2011-07-29
  • Verification:Yes
  • Location:Manchester

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:288.9
  • Avg Retweets per Tweet:24.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

The account averages 5,107 likes and 517 retweets per tweet, indicating strong fan interaction. The high engagement suggests a dedicated and passionate fan base.

288.9

Avg Likes/Tweet

24.2

Avg Retweets/Tweet

938,681

Total Likes

78,607

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

132

Median Likes

10

Median Retweets

326

75th Percentile

11,998

Top Tweet

1.42

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

78.1%

Original

11.6%

Replies

8.8%

Retweets

1.6%

Quotes

0.0%

Threads

0.0%

With Media

79.3%

With Links

86.2%

With #Tags

39.0%

With @Mentions

92.2%

With Emojis

110

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.15

Reply/Original Ratio

0.18

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

30.3%

Weekday Posts

69.7%

Weekend Posts

Top Hashtags

#mancity (2738) #conticupfinal (53) #conticup (51) #uwcl (30) #womensfacup (27) #barclaysfawsl (12) #womensfacupfinal (10) #cmoncity (4) #wsl (3) #fawsl (3)

Most Mentioned

@lauren__hemp (170) @mancity (121) @ellsbells89 (98) @chloe_kelly98 (92) @janinebeckie (88) @itscarolineweir (84) @barclaysfawsl (80) @mancitywomen (67) @haysworldwide (62) @garethtaylor_73 (57)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,537 (78%)
Replies 376 (12%)
Retweets 285 (9%)
Quote Tweets 51 (2%)

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 285 retweets (9% 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 tweets

Engagement 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 followers

The primary audience consists of Manchester City fans, particularly those interested in the women's team. It also attracts supporters looking for real-time updates and match highlights.

Average

Audience Quality

29.2%

Suspicion Index

35.0%

Low-Quality %

17

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.8%

Empty Bio

39.1%

<10 Tweets

8.8%

Mass Following (>2K)

0.0%

New (<90 days)

62.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.1%

No URL

26.1%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

41,288,744

Total Potential Reach

17

Median Follower Reach

97

75th Percentile Reach

3.8%

>1K followers

0.4%

>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).

36.7%

Creators

18,372 accounts

24.2%

Consumers

12,086 accounts

39.1%

Dormant

19,542 accounts

114

Verified Followers

0.23% of total

3.7%

Professional Bios

founder, dev, analyst, etc.

0.06

Median Follow Ratio

follower/following

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):

Lagos, Nigeria (436) Manchester, England (377) Nigeria (343) Nairobi, Kenya (239) England, United Kingdom (236) Accra, Ghana (235) United Kingdom (205) Kampala, Uganda (178) London, England (173) Venezuela (160)

199

Verified Followers

0.2% of total

9,858

Protected Accounts

9.76% 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 14,099,651 Wrestler Wrestling, Motivation, Self-promotion
@BBCMOTD 3,359,261 Football Coverage football, coverage, follow
@okx 2,960,873 Cryptocurrency Exchange Bitcoin, Crypto, Exchange
@EnglandFootball 2,297,358 Football Association grassroots, coaching, support
@SirKunt 2,252,339 - -
@FOXSoccer 1,477,216 Soccer Media Soccer, Copa America, Gold Cup
@mrdanwalker 803,438 Journalist Dad, husband, BBC.
@lbertozzi 652,822 Sports Journalist Futebol internacional, ESPN Brasil, Fox Sports Brasil
@TakaTina1 607,103 Comedian Comedy, Trendsetting, Brand Promotion
@TheAthleticFC 563,904 Sports Journalism Football, Breaking news, Analysis

Top Keywords in Follower Bios

football (3,847) city (2,872) love (2,573) life (1,835) manchester (1,800) sports (1,554) god (1,346) fc (1,123) music (1,019) soccer (983)

Top Hashtags in Follower Bios

#mancity (229) #mcfc (198) #ctid (71) #1 (63) #football (55) #mufc (44) #cityzen (39) #manchestercity (34) #blacklivesmatter (33) #blm (31)

61,478

Followers With Bio

39,520

Followers Without Bio

60.87%

% With Bio

39.13%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,249 analyzed

38,363

Combined Engagement

35,304

Total Likes

3,059

Total Retweets

7,673

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

100%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Sports Football Manchester City Women's Football Fan Engagement Match Highlights Team Achievements

Key Insights & Takeaways

The account leverages major victories and milestones to boost engagement and morale. It uses hashtags and links to drive traffic and promote content. It maintains a consistent focus on match-day updates and team achievements.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 220,632
  • + 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 @ManCityWomen reveals an well-established Twitter presence with 220,632 followers. The account demonstrates a content-creator strategy, averaging 313.1 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025