La Biennale di Venezia

La Biennale di Venezia

@la_Biennale

Official Twitter page of La Biennale di Venezia. #BiennaleArchitettura2023 #BiennaleTeatro2023 #BiennaleDanza2023 #BiennaleCinema2023 #BiennaleMusica2023

Venice, Italy https://www.labiennale.org/it Joined 2010-03-13 Date of Analysis: Dec 16, 2025

707,540

Followers

5,191

Following

31,571

Tweets

83.7

Avg Engagement

3,205

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @la_Biennale'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:2010-03-13
  • Verification:No
  • Location:Venice, Italy

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:65.7
  • Avg Retweets per Tweet:18.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account maintains a consistent level of engagement with average likes and retweets. It effectively uses hashtags and links to drive interaction and traffic.

65.7

Avg Likes/Tweet

18.0

Avg Retweets/Tweet

213,417

Total Likes

58,498

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

15

Median Likes

5

Median Retweets

49

75th Percentile

10,412

Top Tweet

0.12

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

96.6%

Original

0.6%

Replies

0.6%

Retweets

2.3%

Quotes

0.0%

Threads

0.5%

With Media

98.6%

With Links

99.5%

With #Tags

32.6%

With @Mentions

21.4%

With Emojis

252

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.01

Reply/Original Ratio

4.11

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.4%

Weekday Posts

22.6%

Weekend Posts

Top Hashtags

#biennalecinema2022 (737) #biennalearte2022 (610) #venezia79 (559) #biennalecinema2021 (440) #venezia78 (302) #themilkofdreams (280) #biennalearchivio (219) #biennalearchitettura2021 (216) #venezia (181) #venice (179)

Most Mentioned

@ceciliaalemani (83) @albertobarbera2 (42) @waynemcgregor (32) @lokkolesley (25) @conservatoriove (21) @radio3tweet (20) @theacademy (19) @tarmovie (19) @cartier (19) @banshees_movie (17)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,138 (97%)
Replies 20 (1%)
Retweets 18 (1%)
Quote Tweets 74 (2%)

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 18 retweets (1% 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 is primarily interested in art, culture, and high-profile events. They are likely to be art enthusiasts, students, and professionals in the creative industries.

Average

Audience Quality

24.0%

Suspicion Index

28.2%

Low-Quality %

39

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.3%

Empty Bio

29.3%

<10 Tweets

12.6%

Mass Following (>2K)

0.0%

New (<90 days)

48.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

75.2%

No URL

21.2%

<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.

100,552,108

Total Potential Reach

39

Median Follower Reach

244

75th Percentile Reach

9.6%

>1K followers

1.4%

>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).

52.7%

Creators

26,352 accounts

18.0%

Consumers

8,993 accounts

29.3%

Dormant

14,655 accounts

710

Verified Followers

1.42% of total

10.0%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

Italia (440) Italy (407) London, England (368) Paris, France (312) London (284) Roma, Lazio (241) Milano, Lombardia (209) Milan, Lombardy (185) Rome, Lazio (184) Los Angeles, CA (161)

1,060

Verified Followers

1.05% of total

8,544

Protected Accounts

8.46% of total

7 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 14,105,211 Wrestler Wrestling, Motivation, Self-promotion
@MarceloTas 9,130,302 Influencer -
@IMDb 4,595,334 Entertainment movies, TV, celebrities
@canalplus 3,409,938 Customer Service TV, entertainment, customer service
@GameelaIsmail 3,186,488 Politician Politics, TV hosting, Egypt
@lajornadaonline 2,807,433 News outlet news, print, updates
@diegoluna_ 2,788,424 Actor Mexico, Twitter, Actor
@bellasartesinba 2,299,381 Arts Institution art, creation, education
@NetflixTudum 2,220,233 Film Promoter Animation, Romance, Horror
@thecliniccl 2,159,804 News Outlet Reportajes, noticias, humor

Top Keywords in Follower Bios

art (2,822) film (2,175) cinema (1,795) artist (1,485) design (1,181) director (1,154) love (1,101) music (1,007) sheher (960) musica (858)

Top Hashtags in Follower Bios

#art (177) #cinema (96) #cine (83) #architecture (82) #culture (78) #design (68) #nft (59) #film (45) #vr (45) #artist (44)

55,061

Followers With Bio

45,938

Followers Without Bio

54.52%

% With Bio

45.48%

% 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

26,973

Combined Engagement

22,773

Total Likes

4,200

Total Retweets

5,395

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

100%

With Hashtags

40%

With @Mentions

100%

With Links

Topical Analysis:

Art Culture Events Cinema Theater Architecture Music Collaboration Promotion

Key Insights & Takeaways

The account frequently uses event-specific hashtags to increase visibility and relevance. It collaborates with influencers and public figures to expand its reach. It shares links to event details, suggesting a focus on promotion and information dissemination.

Strengths

  • + Established follower base of 707,540
  • + 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 @la_Biennale reveals an growing Twitter presence with 707,540 followers. The account demonstrates a content-creator strategy, averaging 83.7 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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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