ACF Fiorentina

ACF Fiorentina

@acffiorentina

Benvenuti all'account Twitter ufficiale della ACF Fiorentina | English: @ACFFiorentinaEN | Women: @acf_womens

Firenze, Toscana https://www.acffiorentina.com/ Joined 2009-07-08 Date of Analysis: Dec 16, 2025

738,915

Followers

184

Following

42,188

Tweets

193.4

Avg Engagement

2,731

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @acffiorentina'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:2009-07-08
  • Verification:No
  • Location:Firenze, Toscana

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:180.6
  • Avg Retweets per Tweet:12.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account consistently receives high engagement, with an average of 18,861 likes and 1,170 retweets per tweet. This indicates a highly interactive and loyal fan base.

180.6

Avg Likes/Tweet

12.8

Avg Retweets/Tweet

586,985

Total Likes

41,508

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

55

Median Likes

3

Median Retweets

133

75th Percentile

63,164

Top Tweet

0.26

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

93.1%

Original

2.9%

Replies

3.8%

Retweets

0.2%

Quotes

0.0%

Threads

0.1%

With Media

70.8%

With Links

90.7%

With #Tags

9.4%

With @Mentions

69.4%

With Emojis

105

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.03

Reply/Original Ratio

0.06

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

61.2%

Weekday Posts

38.8%

Weekend Posts

Top Hashtags

#forzaviola (2241) #fiorentina (1420) #acffiorentina (1294) #uecl (425) #primaveratimvision (99) #cremonesefiorentina (70) #fiorentinajuventus (70) #juventusfiorentina (66) #fiorentinatorino (64) #milanfiorentina (64)

Most Mentioned

@acffiorentinaen (72) @ea_fifa_italia (67) @acffiorentina (34) @europacnfleague (29) @easportsfifa (26) @visittrentino (19) @uefacom_it (17) @valdifassa (11) @matchwornshirt (10) @seriea (10)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,027 (93%)
Replies 94 (3%)
Retweets 122 (4%)
Quote Tweets 7 (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 122 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 3,250 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 primary audience consists of passionate football fans, particularly those supporting ACF Fiorentina. The account also reaches out to international fans, especially in Turkey, due to its connection with Fatih Terim.

Below Average

Audience Quality

37.3%

Suspicion Index

47.3%

Low-Quality %

6

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

53.0%

Empty Bio

55.0%

<10 Tweets

7.8%

Mass Following (>2K)

0.0%

New (<90 days)

80.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.0%

No URL

41.6%

<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.

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Follower Reach & Influence

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

36,811,796

Total Potential Reach

6

Median Follower Reach

39

75th Percentile Reach

2.0%

>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).

25.8%

Creators

12,885 accounts

19.2%

Consumers

9,608 accounts

55.0%

Dormant

27,507 accounts

126

Verified Followers

0.25% of total

1.9%

Professional Bios

founder, dev, analyst, etc.

0.02

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):

Florence, Tuscany (200) Lagos, Nigeria (143) Firenze, Toscana (116) Accra, Ghana (111) Nigeria (108) Italy (106) Senegal (87) Italia (87) İstanbul, Türkiye (74) Roma, Lazio (56)

213

Verified Followers

0.21% of total

7,477

Protected Accounts

7.4% 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
@JohnCena 14,105,178 Wrestler Wrestling, Motivation, Self-promotion
@Benayadachraf 3,483,699 Unknown Technology, Innovation, Entrepreneurship
@matteorenzi 3,379,739 Politician Politics, Italy, Florence
@khaledbauomy 3,215,450 Influencer Egypt, Instagram, Travel
@As_TomasRoncero 1,753,494 Journalist Real Madrid, Deportes, Periodismo
@SuperSportBlitz 1,306,928 Sports News Sports news, broadcast details, score updates
@DZfoot 1,026,141 Sports News Football, Algeria, News
@ZachBoychuk 829,946 Hockey Player Hockey, Meme/NFT Trading, Ethereum
@OfficialSSLazio 676,274 Football Club Football, Sports, Lazio
@LaczyNasPilka 596,261 Sports Media Football, Kibiców, Portal

Top Keywords in Follower Bios

football (2,180) futbol (1,004) love (954) calcio (846) life (728) sports (664) sport (627) god (564) forza (533) madrid (440)

Top Hashtags in Follower Bios

#football (41) #halamadrid (35) #seriea (28) #finoallafine (26) #ynwa (25) #forzaviola (23) #mufc (21) #bitcoin (21) #arsenal (20) #calcio (19)

52,458

Followers With Bio

48,541

Followers Without Bio

51.94%

% With Bio

48.06%

% 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

155,027

Combined Engagement

146,122

Total Likes

8,905

Total Retweets

31,005

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Football Club Identity Fan Engagement International Connection Celebrity Tie-Ins

Key Insights & Takeaways

The account frequently highlights key figures like Fatih Terim, which strengthens its connection with Turkish fans. It uses hashtags effectively to increase visibility and community interaction. The content is tailored to both Italian and international audiences, reflecting the club's global appeal.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 738,915
  • + 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 @acffiorentina reveals an well-established Twitter presence with 738,915 followers. The account demonstrates a content-creator strategy, averaging 193.4 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