GVA Sanitat

GVA Sanitat

@GVAsanitat

Compte oficial de la Conselleria de Sanitat | @generalitat També en 📲 Fb: https://www.facebook.com/unsupportedbrowser 📲 Ig: https://www.facebook.com/unsupportedbrowser

València https://www.san.gva.es/ca/web/sanidad Joined 2011-11-28 Date of Analysis: Dec 16, 2025

104,462

Followers

4,420

Following

36,085

Tweets

8.9

Avg Engagement

533

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @GVAsanitat'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:2011-11-28
  • Verification:No
  • Location:València

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:2.6
  • Avg Retweets per Tweet:6.3
  • Followers Analyzed:10,999

Engagement Analysis

Based on 3,250 tweets

The account shows moderate to high engagement with an average of 68 likes and 28 retweets per tweet. The content is well-received, indicating relevance and trust among followers.

2.6

Avg Likes/Tweet

6.3

Avg Retweets/Tweet

8,368

Total Likes

20,524

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

4

Median Retweets

9

75th Percentile

250

Top Tweet

0.09

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

24.9%

Original

9.9%

Replies

65.2%

Retweets

0.1%

Quotes

0.0%

Threads

0.0%

With Media

90.2%

With Links

59.0%

With #Tags

80.7%

With @Mentions

84.7%

With Emojis

247

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.4

Reply/Original Ratio

0.0

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

91.9%

Weekday Posts

8.1%

Weekend Posts

Top Hashtags

#valència (111) #bondia (111) #covid_19 (109) #donasang (86) #femsalutcastelló (74) #castelló (71) #alicante (63) #haztedonanter (61) #alacant (60) #donanters (52)

Most Mentioned

@gvasanitat (600) @gvadonasang (391) @hospitallafe (197) @generalitat (193) @sanidadgob (169) @incliva_iis (154) @gvadepsalutcs (141) @gvasalualicante (132) @gvahgandia (127) @gvadstorrevieja (124)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 809 (25%)
Replies 321 (10%)
Retweets 2,118 (65%)
Quote Tweets 2 (0%)

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 2,118 retweets (65% 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 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 10,999 followers

The primary audience consists of residents of the Valencian Community, healthcare professionals, and individuals interested in public health. The content is tailored to inform and engage a broad demographic, particularly women aged 25 to 65.

Below Average

Audience Quality

37.5%

Suspicion Index

59.7%

Low-Quality %

2

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

68.5%

Empty Bio

61.8%

<10 Tweets

2.9%

Mass Following (>2K)

0.0%

New (<90 days)

68.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.6%

No URL

50.9%

<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.

5,146,978

Total Potential Reach

2

Median Follower Reach

19

75th Percentile Reach

2.1%

>1K followers

0.2%

>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).

22.4%

Creators

2,467 accounts

15.8%

Consumers

1,734 accounts

61.8%

Dormant

6,798 accounts

15

Verified Followers

0.14% of total

2.4%

Professional Bios

founder, dev, analyst, etc.

0.04

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):

Valencia, Spain (249) Valencia, España (176) Valencia (136) España (94) Alicante, Spain (64) Spain (58) Community of Valencia, Spain (51) Alicante (37) Alicante, España (36) Comunidad Valenciana, España (32)

15

Verified Followers

0.14% of total

757

Protected Accounts

6.88% of total

3 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
@miguelhotero 1,932,121 Journalist Politics, Journalism, Leadership
@SinghLions 1,330,765 Restaurateur Food, Travel, Influencer
@AlbertoMayol 327,028 Sociólogo Sociology, Writing, Academia
@Pilar__HA 106,823 Mamá Mamá, abuela, Cantante frustrada
@franju 72,048 Influencer TV, Glass, MegaSn
@MattHiefield 65,011 Teacher Education, Equity, Social Justice
@Neo_504 44,842 Estudiante Café, libros, series
@mariagv 31,601 - -
@GVAlabora 27,286 - -
@aida2santos 27,262 - -

Top Keywords in Follower Bios

valencia (154) vida (146) siempre (62) salud (61) social (61) mundo (58) musica (58) enfermera (56) amante (52) oficial (52)

Top Hashtags in Follower Bios

#valencia (6) #alicante (5) #covidpersistente (3) #gt (3) #marketingdigital (3) #formacio (3) #castello (3) #dinero (2) #gvanext (2) #vegano (2)

3,465

Followers With Bio

7,534

Followers Without Bio

31.5%

% With Bio

68.5%

% 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 3,250 analyzed

971

Combined Engagement

128

Total Likes

843

Total Retweets

194

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Public Health Healthcare Services Community Engagement Health Campaigns Maternal Health Cervical Cancer Screening
GVA Sanitat
@GVAsanitat

RT @AEMET_Esp: Actualización nota informativa 🌡️ 🔴Durante el jueves 27 y el viernes 28 es muy probable que se dé el punto álgido de este episodio, extendiéndose además el ascenso térmico a la mitad norte peninsular https://t.co/m9jrZPQvtE https://t.co/l6mLelXmZO

2023-04-26
Retweets: 250 Likes: 0 Engagement: 250
GVA Sanitat
@GVAsanitat

RT @sanidadgob: 🔊 Publicado el RD por el que se establece el fin de la obligación de llevar mascarilla en transportes públicos. https://t.co/3RykdXwJnr 🔴Será obligatoria en: ✔️Centros y servicios sanitarios ✔️Farmacias y botiquines ✔️Centros sociosanitarios, para trabajadores

2023-02-08
Retweets: 234 Likes: 0 Engagement: 234
GVA Sanitat
@GVAsanitat

RT @desdelamoncloa: El Gobierno aprueba la eliminación del uso obligatorio de mascarillas en los medios de transporte público desde mañana, 8 de febrero. Se mantiene la obligatoriedad de su uso en: 😷Centros sanitarios 😷Farmacias 😷Centros sociosanitarios para trabajadores y visi

2023-02-07
Retweets: 191 Likes: 0 Engagement: 191
GVA Sanitat
@GVAsanitat

RT @sanidadgob: Hoy es el Día de la #AtenciónPrimaria Una fecha en la que reiterar todo el reconocimiento, admiración y compromiso hacia todas y todos los profesionales que hacen posible la Atención Primaria de nuestro país. ¡ Feliz #12DeAbril ! #DíaDeLaAtenciónPrimaria http

2023-04-12
Retweets: 153 Likes: 0 Engagement: 153
GVA Sanitat
@GVAsanitat

📷👶 Diego Gómez García és el primer bebé nascut en 2023 a la Comunitat Valenciana. 🏥 Ha sigut a l'@HospitalLaFe a les 00.01.22 h i ha pesat 3,650 kg. https://t.co/4Sh7BknkXw

2023-01-01
Retweets: 15 Likes: 128 Engagement: 143

Key Insights & Takeaways

The account frequently shares news about newborns and medical milestones, which helps humanize the health department's role. It promotes public health campaigns, such as cervical cancer screening, which is crucial for community awareness and participation. The use of multiple social media platforms enhances reach and engagement beyond Twitter.

Strengths

  • + Established follower base of 104,462
  • + 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 @GVAsanitat reveals an growing Twitter presence with 104,462 followers. The account demonstrates a content-creator strategy, averaging 8.9 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