Fabrizio Romano
Here we go! ©
19,221,255
Followers
2,440
Following
35,031
Tweets
25,326.0
Avg Engagement
25,940
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FabrizioRomano'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: Mega Influencer (1M+)
- Account Age:2011-07-06
- Verification:No
- Location:Milano, Italia
Data Summary
- Tweets Analyzed:3,215
- Avg Likes per Tweet:23,561.5
- Avg Retweets per Tweet:1,764.4
- Followers Analyzed:50,000
- Following Analyzed:2,407
Engagement Analysis
Based on 3,215 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is driven by the novelty and importance of the news he shares.
23,561.5
Avg Likes/Tweet
1,764.4
Avg Retweets/Tweet
75,750,356
Total Likes
5,672,592
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17,723
Median Likes
1,069
Median Retweets
31,767
75th Percentile
620,061
Top Tweet
1.32
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.3%
Original
12.2%
Replies
7.7%
Retweets
3.8%
Quotes
0.0%
Threads
0.0%
With Media
79.6%
With Links
76.2%
With #Tags
31.7%
With @Mentions
88.1%
With Emojis
224
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,215 tweetsContent Type Distribution
Content Breakdown
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 248 retweets (8% 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 3,215 tweetsEngagement 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 followersHis audience primarily consists of sports fans and professionals who rely on real-time updates. The content is tailored to appeal to a global audience interested in football and other sports.
Average
Audience Quality
34.7%
Suspicion Index
55.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.7%
Empty Bio
58.4%
<10 Tweets
1.4%
Mass Following (>2K)
0.0%
New (<90 days)
63.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
48.0%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
13,735,893
Total Potential Reach
2
Median Follower Reach
25
75th Percentile Reach
2.0%
>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).
25.5%
Creators
12,748 accounts
16.1%
Consumers
8,063 accounts
58.4%
Dormant
29,189 accounts
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):
183
Verified Followers
0.18% of total
10,050
Protected Accounts
9.95% of total
2 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 |
|---|---|---|---|
| @Rabanalsafena | 1,164,037 | Media Consultant | Media, Communication, Sports |
| @9romelulukaku | 1,039,021 | Footballer | Football, Revenge, Determination |
| @MasculineMind_ | 453,844 | Twitter Growth Expert | Self-improvement, Entrepreneurship, Twitter Growth |
| @r_alfowzan | 396,845 | Journalist | economics, writing, social media |
| @Haragen24 | 270,513 | Athlete | Football, Japan, Fitness |
| @andrevsilva19 | 242,201 | Footballer | Football, RB Leipzig, Sports |
| @alhilal_bb | 221,169 | Sports News | Sports news, Al-Hilal, Twitter |
| @PremLeaguePanel | 214,204 | Football Analysts | Football, Premier League, Analysis |
| @Calcio_223 | 185,949 | Footballer | Football, Sports, Fitness |
| @5h5__ | 184,683 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,240
Followers With Bio
68,731
Followers Without Bio
31.93%
% With Bio
68.07%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,215 analyzed1,948,018
Combined Engagement
1,682,608
Total Likes
265,410
Total Retweets
389,604
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Brazilian legend Pelé has passed away at 82, one of the greatest of all time who changed the game. A man with a god-given talent, one of the names who will remain forever in the memory. All thoughts with the family. RIP, legend 🕊️ https://t.co/xxndio7gmM
Thanks for everything. 🤍🕊️ #Pele https://t.co/EItF8tGNWN
🚨 OFFICIAL: Cristiano Ronaldo joins Al Nassr, here we go! Contract valid until 2025 🇵🇹🇸🇦 #Ronaldo https://t.co/HB562KnaTf
Enzo Fernández to Chelsea… HERE WE GO! Agreement reached right now between Chelsea & Benfica 🚨🔵🇦🇷 #CFC #DeadlineDay Important: clubs running to get the documents signed before end of the window, it’s finally agreed. Boarding set to be completed — London ✈️ @TurkishAirlines
🚨 Exclusive news confirmed: Thomas Tuchel becomes new FC Bayern head coach, full agreement in place. He has already accepted the job. #FCBayern Contract agreed, documents are being prepared tonight. https://t.co/HFnOSwoU1m
Network & Following Analysis
Based on 2,407 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
27.8%
Verified Accounts
48.0%
High Authority (>50K)
100.0%
Dormant Accounts
4.7%
Low Quality
44,170
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
63.2%
Individuals
1,521 accounts
10.0%
Brands/Orgs
241 accounts
26.8%
Media/News
645 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @justinbieber Justin Bieber | 111,757,958 | Singer | Music, Justice, Album |
| @X X | 66,567,558 | Social Media Manager | - |
| @neymarjr Neymar Jr | 62,768,620 | Footballer | Football, Family, Bold |
| @BBCBreaking BBC Breaking News | 51,630,566 | News broadcaster | News, Updates, Alerts |
| @ChampionsLeague UEFA Champions League | 49,923,203 | Football Organizer | Football, Europe, Youth |
| @realmadrid Real Madrid C.F. | 48,802,459 | Sports Club | Football, Champions League, International |
| @FCBarcelona FC Barcelona | 47,842,377 | Sports Club | Football, Sports, Team |
| @premierleague Premier League | 42,117,203 | Sports Organization | Football, Fantasy, Global |
| @ManUtd Manchester United | 36,772,661 | Sports Team | Football, Manchester, United |
| @instagram Instagram | 33,158,157 | Social Media | Love, Connection, Sharing |
Key Insights & Takeaways
He focuses on breaking major sports news and updates in real-time His content is highly engaging and often shared widely across the sports community He maintains a professional and concise tone in his tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 19,221,255
- + 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 @FabrizioRomano reveals an exceptionally influential Twitter presence with 19,221,255 followers. The account demonstrates a content-creator strategy, averaging 25,326.0 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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