Valencia CF
Cuenta Oficial del Valencia CF | Valencià: @valenciacf_vale | @valenciacf_en | @valenciacfArab | @vcf_femenino @Academia_VCF
1,374,143
Followers
157
Following
107,134
Tweets
391.7
Avg Engagement
5,055
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @valenciacf'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:2010-01-28
- Verification:No
- Location:Hazte Socio VCF 👉
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:347.5
- Avg Retweets per Tweet:44.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsThe average engagement per tweet is moderate, with a focus on likes rather than retweets. The account's content tends to generate more likes than retweets, indicating a preference for informative and celebratory posts.
347.5
Avg Likes/Tweet
44.1
Avg Retweets/Tweet
1,128,098
Total Likes
143,248
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
105
Median Likes
16
Median Retweets
319
75th Percentile
26,141
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
82.9%
Original
3.0%
Replies
7.7%
Retweets
6.5%
Quotes
0.0%
Threads
0.0%
With Media
65.4%
With Links
65.8%
With #Tags
59.4%
With @Mentions
82.3%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.84
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 250 retweets (8% 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 3,246 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, especially in Spain and Spanish-speaking countries. The account also targets international supporters through its multilingual approach.
Below Average
Audience Quality
37.5%
Suspicion Index
53.3%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.9%
Empty Bio
56.2%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
75.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.3%
No URL
42.7%
<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.
28,962,638
Total Potential Reach
4
Median Follower Reach
29
75th Percentile Reach
1.8%
>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).
24.4%
Creators
12,195 accounts
19.4%
Consumers
9,708 accounts
56.2%
Dormant
28,097 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):
176
Verified Followers
0.17% of total
8,207
Protected Accounts
8.13% 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 | 14,105,191 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ECavaniOfficial | 2,730,764 | Footballer | Football, Uruguay, Sports |
| @EASPORTS | 2,245,148 | Gaming | sports, gaming, entertainment |
| @miguelhotero | 1,928,172 | Journalist | Politics, Journalism, Leadership |
| @ESPNmx | 1,791,383 | Sports News | Sports, Mexico, App |
| @WinSportsTV | 1,732,842 | Sports Broadcaster | sports, colombian, football |
| @lnstantFoot | 1,703,189 | Football Blogger | Football, Instant, Vivons |
| @sffeghouli | 1,454,451 | Footballer | Football, Galatasaray, Algeria |
| @OliverPhelps | 1,033,489 | Actor | Travel, Acting, Adventure |
| @Juezcentral | 1,004,336 | Sports Journalist | fútbol, datos curiosos, anécdotas |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,837
Followers With Bio
56,161
Followers Without Bio
44.39%
% With Bio
55.61%
% 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 3,246 analyzed106,272
Combined Engagement
96,665
Total Likes
9,607
Total Retweets
21,254
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
¿Yo? https://t.co/QO0xZvXlOH
El @valenciacf felicita al @FCBarcelona_es por la consecución del título de la #Supercopa
COMUNICADO OFICIAL | Valencia CF, Sevilla FC y Villarreal CF condenan de forma conjunta los graves desprecios de Luis Rubiales
¿No será capaz, no? https://t.co/JX6dmH7HbY
Un cazador en #Mestalla 🏹 https://t.co/uEVDf4sRDN
Key Insights & Takeaways
The account frequently shares congratulatory messages and official statements, which aligns with its role as a club representative. It engages in social responsibility by condemning inappropriate behavior in football, which strengthens its public image. The use of multiple language accounts suggests a strategic effort to expand its global reach and connect with diverse fan bases.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,374,143
- + 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 @valenciacf reveals an well-established Twitter presence with 1,374,143 followers. The account demonstrates a content-creator strategy, averaging 391.7 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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