Crystal Palace F.C Women
Thank you for an amazing opening fixture 😍
12716
Followers
656
Following
14962
Tweets
59,0
Avg Engagement
164
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cpfc_w'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: Mid-Tier (10K+)
- Account Age:2013-12-13
- Verification:No
- Location:Purchase your home tickets 👉
Data Summary
- Tweets Analyzed:3244
- Avg Likes per Tweet:20,6
- Avg Retweets per Tweet:38,4
- Followers Analyzed:12046
Engagement Analysis
Based on 3244 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating a consistent but not highly interactive audience.
20,6
Avg Likes/Tweet
38,4
Avg Retweets/Tweet
66737
Total Likes
124729
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
30
75th Percentile
90430
Top Tweet
4,64
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
59,3%
Original
21,6%
Replies
11,9%
Retweets
7,2%
Quotes
0,0%
Threads
0,3%
With Media
57,2%
With Links
79,1%
With #Tags
49,2%
With @Mentions
73,5%
With Emojis
111
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,36
Reply/Original Ratio
0,6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
41,0%
Weekday Posts
59,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3244 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 385 retweets (12% 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 3244 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 12046 followersThe primary audience is likely football fans, especially those interested in the women's team and related events.
Good
Audience Quality
16,0%
Suspicion Index
19,6%
Low-Quality %
160
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31,1%
Empty Bio
13,0%
<10 Tweets
15,9%
Mass Following (>2K)
0,0%
New (<90 days)
26,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
79,6%
No URL
8,1%
<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.
42157616
Total Potential Reach
160
Median Follower Reach
533
75th Percentile Reach
14,4%
>1K followers
1,6%
>10K followers
0,4%
>50K followers
0,2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72,3%
Creators
8710 accounts
14,7%
Consumers
1769 accounts
13,0%
Dormant
1567 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):
165
Verified Followers
1.37% of total
1308
Protected Accounts
10.86% of total
8 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 | 14106655 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201233 | - | - |
| @IanWright0 | 2282885 | Footballer | Football, Podcasting, Writing |
| @CPFC | 1417166 | Football Club | Football, Selhurst Park, Official |
| @soledadobrien | 1320636 | Journalist | working, mom, journalist |
| @GaryJCahill | 1259670 | Footballer | Football, Crystal Palace, Nike |
| @AdleneGUEDIOURA | 1206747 | Footballer | Football, Algeria, TiriBark |
| @wilfriedzaha | 981169 | Footballer | Football, Ivory Coast, Crystal Palace |
| @susannareid100 | 906609 | Presenter | News, TV, Charity |
| @SpencerOwen | 635313 | Football Presenter | Football, Esports, Presenter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8299
Followers With Bio
3747
Followers Without Bio
68.89%
% With Bio
31.11%
% 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 3244 analyzed109127
Combined Engagement
0
Total Likes
109127
Total Retweets
21825
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @UEFA: Following the medical emergency involving Denmark’s player Christian Eriksen, a crisis meeting has taken place with both teams and match officials and further information will be communicated at 19:45 CET. The player has been transferred to the hospital and has been s
RT @HerGameToo: #HerGameToo https://t.co/tYPBJmuNQP
RT @BestOfF00tball: Internet keeps winning! 😂 https://t.co/dXedTaRM62
RT @FA: As a mark of respect to Her Majesty Queen Elizabeth II, English football has united to postpone all football fixtures this weekend. https://t.co/k6bqNu6arf
RT @BorisJohnson: An outstanding performance by @England tonight. We're all behind you for the semi-finals, bring it home 🏴
Key Insights & Takeaways
The account frequently shares celebratory and promotional content, such as International Women’s Day messages and squad announcements. It uses hashtags and links to drive engagement and promote club-related content. The account is likely used for official communication and to build a community around the women's team.
Strengths
- + Established follower base of 12716
- + 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 @cpfc_w reveals an growing Twitter presence with 12716 followers. The account demonstrates a content-creator strategy, averaging 59,0 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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