Mariana Varella

Mariana Varella

@marivarella

Editora-chefe do Portal Drauzio Varella e colunista do Uol. Jornalista de saúde e cientista social. Pós-graduanda da Faculdade de Saúde Pública da USP.

https://linktr.ee/marivarella Joined 2009-04-30 Date of Analysis: Dec 16, 2025

84,180

Followers

2,219

Following

10,200

Tweets

523.1

Avg Engagement

369

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @marivarella'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:2009-04-30
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,218
  • Avg Likes per Tweet:466.6
  • Avg Retweets per Tweet:56.5
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,218 tweets

Her tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and often shared, contributing to her wide reach.

466.6

Avg Likes/Tweet

56.5

Avg Retweets/Tweet

1,501,544

Total Likes

181,780

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

21

Median Likes

0

Median Retweets

167

75th Percentile

118,368

Top Tweet

6.21

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

23.6%

Original

64.6%

Replies

4.5%

Retweets

7.3%

Quotes

0.0%

Threads

0.0%

With Media

23.7%

With Links

3.6%

With #Tags

77.2%

With @Mentions

18.6%

With Emojis

137

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.73

Reply/Original Ratio

1.62

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

80.9%

Weekday Posts

19.1%

Weekend Posts

Top Hashtags

#covid19 (25) #cpidacovid (16) #omicron (9) #variantedelta (7) #cpidapandemia (6) #abrilpelavida (5) #rodaviva (2) #monkeypox (2) #opinião (2) #ondeestaodomebruno (2)

Most Mentioned

@drauziovarella (174) @marivarella (63) @josegallucci (59) @ladyrasta (50) @luizacaires3 (50) @oatila (50) @vivabem_uol (49) @dadourado (48) @mab_sp125 (47) @vitormori (45)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,218 tweets

Content Type Distribution

Content Breakdown

Original Tweets 761 (24%)
Replies 2,079 (65%)
Retweets 144 (4%)
Quote Tweets 234 (7%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 144 retweets (4% 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 3,218 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 9,998 followers

Her audience includes health professionals, science enthusiasts, and the general public interested in public health and social issues. She also reaches out to younger demographics through her engaging and informative tweets.

Average

Audience Quality

23.9%

Suspicion Index

26.6%

Low-Quality %

62

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.7%

Empty Bio

19.9%

<10 Tweets

18.6%

Mass Following (>2K)

0.0%

New (<90 days)

49.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.4%

No URL

13.5%

<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 Detector

Follower Reach & Influence

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

25,516,953

Total Potential Reach

62

Median Follower Reach

306

75th Percentile Reach

11.8%

>1K followers

1.1%

>10K followers

0.3%

>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).

64.1%

Creators

6,412 accounts

16.0%

Consumers

1,599 accounts

19.9%

Dormant

1,987 accounts

40

Verified Followers

0.4% of total

5.2%

Professional Bios

founder, dev, analyst, etc.

0.1

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):

Brasil (286) São Paulo, Brasil (263) Sao Paulo, Brazil (215) Rio de Janeiro, Brasil (151) Brazil (137) São Paulo (130) Rio de Janeiro, Brazil (116) Rio de Janeiro (82) Belo Horizonte, Brasil (63) Brasília, Brasil (46)

40

Verified Followers

0.4% of total

1,320

Protected Accounts

13.2% of total

5 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
@folha 8,887,984 Jornalismo politics, journalism, news
@choquei 5,604,876 Entertainment News artistas, famosos, acontecimentos
@SinghLions 1,330,402 Restaurateur Food, Travel, Influencer
@ericfaria74 589,886 Runner Correr, Felicidade, Viver
@FernandaKeulla 513,553 TV Host No specific interests mentioned.
@radaronline 463,601 Journalist politics, news, Brasília
@ONUBrasil 383,738 Diplomacy Sustainable Development, Human Rights, Global Goals
@antonioprata01 296,167 Escritor Escritor, Embaixador, Refugiados
@EduardoJorge 286,882 Doctor Health, Environment, Politics
@tiamaoficial 180,835 Influencer fashion, activism, positivity

Top Keywords in Follower Bios

nao (488) vida (243) jornalista (217) professor (172) sempre (158) brasil (149) aqui (146) mae (140) lula (128) mundo (125)

Top Hashtags in Follower Bios

#forabolsonaro (22) #lulapresidente (10) #lula13 (8) #lula2022 (6) #lula (6) #lulapresidente2022 (5) #vamosjuntospelobrasil (4) #sus (3) #sdv (3) #elena (3)

6,025

Followers With Bio

3,975

Followers Without Bio

60.25%

% With Bio

39.75%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,218 analyzed

283,399

Combined Engagement

259,692

Total Likes

23,707

Total Retweets

56,680

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

20%

With Links

Topical Analysis:

Health Science Communication Public Health Vaccination Social Issues Government Policy
Mariana Varella
@marivarella

Aos 79 anos, ele ganhou a mandala por ter corrido as 6 maiores maratonas do mundo. Tá pago, pai 💜 https://t.co/DvJgjw3o5L

2022-10-05
Retweets: 3,086 Likes: 115,282 Engagement: 118,368
Mariana Varella
@marivarella

Nos EUA, muitos jovens se recusam a tomar vacina. Aqui, os jovens aderiram lindamente à Virada da Vacina em SP. Falta um tanto pra todo mundo tomar as duas doses, mas o Brasil tá dando o recado: se tiver vacina, a gente toma! 💜

2021-08-16
Retweets: 2,867 Likes: 47,190 Engagement: 50,057
Mariana Varella
@marivarella

O governo federal rejeitou 3 propostas de compra da vacina da Pfizer, a primeira realizada em agosto/20. Tb ignorou 3 propostas do Butantan pra adquirir a CoronaVac, a primeira feita em julho/20, até fechar acordo com o instituto em jan./21. Ñ esqueceremos.

2021-03-23
Retweets: 9,333 Likes: 38,257 Engagement: 47,590
Mariana Varella
@marivarella

nenhum país do mundo tem quase 4 mil mortes por covid em 24h neste momento. Isso não o faz ao menos desconfiar de que há algo errado na forma como temos enfrentado a pandemia?

2021-04-01
Retweets: 4,065 Likes: 30,219 Engagement: 34,284
Mariana Varella
@marivarella

A OMS recomendou q homens q fazem sexo c/ homens reduzam os contratos sexuais p/ evitar a varíola dos macacos. Bom, já vimos essa estratégia com o HIV. E deu errado. 1) a doença Ñ ficará restrita a esse grupo. Comportamento sexual é algo variado, e mts desses homens 1/2 👇🏼

2022-07-29
Retweets: 4,356 Likes: 28,744 Engagement: 33,100

Key Insights & Takeaways

She frequently discusses public health campaigns and vaccination efforts, highlighting community engagement and challenges. Her tweets often include personal stories and achievements, which resonate with her audience. She uses her platform to comment on government policies related to health and vaccine distribution.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 84,180
  • + High community engagement through conversations
  • + 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 @marivarella reveals an well-established Twitter presence with 84,180 followers. The account demonstrates a conversation-first approach, averaging 523.1 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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