Matteo Barzaghi
🎤 Italian journalist @SkySport 🎮Pitch reporter/bordocampista from #FIFA13 to #FIFA21 @EA_FIFA_Italia ⚽️https://www.facebook.com/unsupportedbrowser
73,922
Followers
1,044
Following
3,449
Tweets
437.1
Avg Engagement
269
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MatteoBarzaghi'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:2011-08-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:40.1
- Avg Retweets per Tweet:397.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsHis tweets receive a high number of likes and retweets, showing strong audience interest. The use of verified accounts and hashtags helps drive engagement and visibility.
40.1
Avg Likes/Tweet
397.0
Avg Retweets/Tweet
127,277
Total Likes
1,258,913
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
53
75th Percentile
198,951
Top Tweet
5.91
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
36.5%
Original
26.8%
Replies
32.2%
Retweets
4.5%
Quotes
0.0%
Threads
0.0%
With Media
37.9%
With Links
48.0%
With #Tags
83.3%
With @Mentions
14.3%
With Emojis
131
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.74
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 1,020 retweets (32% 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 3,171 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 10,000 followersHis audience is primarily football fans interested in transfer news and match updates. They are likely to be active on social media and engaged with real-time sports content.
Average
Audience Quality
25.9%
Suspicion Index
31.9%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
27.1%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
56.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
18.1%
<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.
8,066,750
Total Potential Reach
28
Median Follower Reach
142
75th Percentile Reach
5.5%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.4%
Creators
5,339 accounts
19.5%
Consumers
1,951 accounts
27.1%
Dormant
2,710 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):
49
Verified Followers
0.49% of total
657
Protected Accounts
6.57% 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 |
|---|---|---|---|
| @idextratime | 747,091 | Sports Journalist | Sampah, Laknat, Business |
| @AbsoluteChelsea | 637,958 | Sports Journalist | Football, Chelsea FC, Analysis |
| @NizaarKinsella | 444,155 | Sports Journalist | Chelsea FC, England, Football |
| @FutboolFichajes | 338,371 | Sports Journalist | Fútbol, Fichajes, Ligas |
| @ChrisWheatley | 299,730 | Sports Journalist | Football, Arsenal, Reporting |
| @AlbicelesteTalk | 253,843 | Sports Analyst | Argentina, Copa America, World Cup |
| @ClaysonMonyela | 206,517 | Diplomat | Diplomacy, South Africa, Public Relations |
| @andrearadri | 165,291 | Entrepreneur | Football, Media, Business |
| @Santi_J_FM | 162,214 | Journalist | Football, Transfers, Journalism |
| @kwekuedilson | 136,029 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,428
Followers With Bio
4,572
Followers Without Bio
54.28%
% With Bio
45.72%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,171 analyzed564,510
Combined Engagement
0
Total Likes
564,510
Total Retweets
112,902
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @IAmJermainDefoe: Sleep tight little one... 💙 https://t.co/iGqLXdvlVi
RT @Carles5puyol: Respeto y admiración, Leo. Todo mi apoyo, amigo.
RT @FCBarcelona: LATEST NEWS | Leo #Messi will not continue with FC Barcelona
RT @HamillHimself: The wait for VIII begins... https://t.co/2X6AXnz9yx
RT @ManUtd: We are delighted to announce Jose Mourinho is our new manager! Full statement: https://t.co/PDiHMIWnpd #WelcomeJose https://t.co/eZ8NBSz2up
Key Insights & Takeaways
Focus on major transfer news and player movements Collaboration with other sports media outlets like @DiMarzio and @Ch Use of hashtags to increase visibility and engagement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 73,922
- + 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 @MatteoBarzaghi reveals an well-established Twitter presence with 73,922 followers. The account demonstrates a content-creator strategy, averaging 437.1 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.
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