MINVU - Chile

MINVU - Chile

@Minvu

Ministerio de Vivienda y Urbanismo. Ministro @CarlosMontestwt. Subsecretaria @GabyElguetaP. Presentes por un mejor futuro. https://t.co/TepXnCIl1F

ÜT: -33.429244,-70.599173 https://www.minvu.gob.cl/ Joined 2009-03-05 Date of Analysis: Dec 16, 2025

236,947

Followers

1,244

Following

50,107

Tweets

58.8

Avg Engagement

593

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Minvu'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:2009-03-05
  • Verification:Yes
  • Location:ÜT: -33.429244,-70.599173

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:6.9
  • Avg Retweets per Tweet:52.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account has average engagement with likes and retweets, indicating a moderate level of interaction. The content is focused on public announcements and project highlights, which may not always drive high engagement.

6.9

Avg Likes/Tweet

52.0

Avg Retweets/Tweet

22,289

Total Likes

168,956

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

7

Median Retweets

38

75th Percentile

3,581

Top Tweet

0.25

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

17.0%

Original

26.2%

Replies

52.4%

Retweets

4.4%

Quotes

0.0%

Threads

0.0%

With Media

36.6%

With Links

40.4%

With #Tags

86.8%

With @Mentions

54.2%

With Emojis

174

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.55

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

84.9%

Weekday Posts

15.1%

Weekend Posts

Top Hashtags

#planemergenciahabitacional (254) #minvu (55) #viñadelmar (38) #partamosxcasaencooperativa (29) #biobío (29) #incendiosforestales (28) #fondosolidario (25) #minvuenregiones (24) #antofagasta (18) #nuevaleycopropiedad (18)

Most Mentioned

@carlosmontestwt (741) @gobiernodechile (562) @tatirojasleiva (512) @gabrielboric (415) @presidencia_cl (222) @minvu (160) @voceriagobierno (85) @minvubiobio (64) @minvuvalparaiso (56) @serviurm (51)

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 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 551 (17%)
Replies 852 (26%)
Retweets 1,704 (52%)
Quote Tweets 143 (4%)

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 1,704 retweets (52% 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 50,000 followers

The audience likely includes citizens interested in housing policies, urban development, and government initiatives. They are probably residents of Chile, especially those affected by housing programs or reconstruction efforts.

Average

Audience Quality

33.2%

Suspicion Index

45.9%

Low-Quality %

4

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

54.1%

Empty Bio

51.6%

<10 Tweets

2.9%

Mass Following (>2K)

0.0%

New (<90 days)

68.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.7%

No URL

37.6%

<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.

15,068,814

Total Potential Reach

4

Median Follower Reach

27

75th Percentile Reach

2.5%

>1K followers

0.3%

>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).

26.6%

Creators

13,277 accounts

21.9%

Consumers

10,945 accounts

51.6%

Dormant

25,778 accounts

25

Verified Followers

0.05% of total

1.9%

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):

Santiago, Chile (1,862) Chile (1,762) chile (296) Santiago (289) Santiago de Chile (252) Concepción, Chile (244) Valparaíso, Chile (204) Viña del Mar, Chile (198) Antofagasta, Chile (163) Temuco, Chile (163)

47

Verified Followers

0.05% of total

8,965

Protected Accounts

8.88% of total

6 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
@CNNChile 4,034,040 News Outlet News, Chile, Beyond
@TVN 3,422,058 Media TV, noticias, entretenimiento
@thecliniccl 2,159,712 News Outlet Reportajes, noticias, humor
@Carabdechile 1,896,648 Police -
@Mega 1,615,687 Media TV, Entretenimiento, Noticias
@mxperez 1,328,599 Periodista Periodista, Teletrece, Duna en Punto
@La_Segunda 650,092 News outlet politics, news, Chile
@el_BID 539,832 Development Finance Economic development, Sustainable growth, Latin America
@el_dinamo 510,842 News Outlet news, opinion, society
@Ejercito_Chile 440,018 Military military, defense, Chile

Top Keywords in Follower Bios

vida (3,221) chile (2,414) amo (1,706) amante (1,686) familia (1,656) feliz (1,641) mama (1,532) dios (1,283) estudiante (1,213) ingeniero (1,202)

Top Hashtags in Follower Bios

#apruebo (164) #rechazo (81) #chile (69) #yoapruebo (57) #soydonante (45) #doglover (34) #boricpresidente (21) #catlover (20) #niunamenos (20) #seguimos (18)

50,895

Followers With Bio

50,101

Followers Without Bio

50.39%

% With Bio

49.61%

% 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.

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 3,250 analyzed

14,767

Combined Engagement

0

Total Likes

14,767

Total Retweets

2,953

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Housing Urban Development Government Announcements Public Participation Reconstruction Social Impact

Key Insights & Takeaways

The account frequently shares updates on housing projects and public initiatives, which helps in building trust and transparency. It uses hashtags and mentions to highlight key figures and locations, increasing visibility and engagement. The content is often tied to national events and policies, reinforcing the government's role in social development.

Strengths

  • + Established follower base of 236,947
  • + 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 @Minvu reveals an growing Twitter presence with 236,947 followers. The account demonstrates a conversation-first approach, averaging 58.8 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