Massimo Caputi
🎙 #Giornalista professionista dal 1989 #AI4Sport
77,797
Followers
819
Following
21,833
Tweets
64.3
Avg Engagement
412
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MassimoCaputi'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:2011-04-29
- Verification:No
- Location:Italia
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:27.6
- Avg Retweets per Tweet:36.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,233 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is both informative and emotionally resonant, driving engagement.
27.6
Avg Likes/Tweet
36.7
Avg Retweets/Tweet
89,208
Total Likes
118,692
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
29
75th Percentile
18,604
Top Tweet
0.83
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
81.7%
Original
5.1%
Replies
10.0%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
31.5%
With Links
85.8%
With #Tags
29.1%
With @Mentions
9.9%
With Emojis
206
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
58.8%
Weekday Posts
41.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 322 retweets (10% 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 3,233 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 includes sports enthusiasts, journalists, and technology professionals interested in AI applications in sports. The content appeals to both longtime fans and industry insiders.
Average
Audience Quality
26.9%
Suspicion Index
32.4%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
26.5%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
60.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
16.9%
<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.
6,632,226
Total Potential Reach
32
Median Follower Reach
135
75th Percentile Reach
5.2%
>1K followers
0.7%
>10K followers
0.2%
>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).
52.2%
Creators
5,222 accounts
21.3%
Consumers
2,131 accounts
26.5%
Dormant
2,647 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):
38
Verified Followers
0.38% of total
674
Protected Accounts
6.74% 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 |
|---|---|---|---|
| @BiagioAntonacci | 709,627 | Musicista | Musica, Emozioni, Arte |
| @wefollowbackd | 456,073 | Football Blogger | Football, News, Sport |
| @khalsih1 | 277,767 | Presenter | Sports, Broadcasting, Media |
| @RaiSport | 258,938 | - | - |
| @PaoloCond | 217,593 | Giornalista | Sport, giornalismo, viaggi |
| @googleitalia | 209,389 | - | - |
| @franco_sala | 199,684 | Politico | politica, Arma dei Carabinieri |
| @TrastevereRM | 114,714 | Historian | Storica, Roma, Futuro |
| @UnoFRAtanti | 112,833 | Influencer | Fashion, Self-love, Empowerment |
| @ASRomaEspanol | 112,173 | Sports Team | Fútbol, AS Roma, Noticias |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,206
Followers With Bio
4,794
Followers Without Bio
52.06%
% With Bio
47.94%
% 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 3,233 analyzed63,034
Combined Engagement
0
Total Likes
63,034
Total Retweets
12,607
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @RyderCupEurope: The morning after the week before 🏆 #TeamEurope #Moliwood https://t.co/J5JunSS5Ee
RT @LorisKarius: Thank you Anfield for this reception! ❤️👏🏻 #YNWA #LK1 @LFC https://t.co/Ex5jIiQNZs
RT @ClaMarchisio8: Non riesco a smettere di guardare questa fotografia e queste strisce su cui ho scritto la mia vita di uomo e di calciatore. Amo questa maglia al punto che, nonostante tutto, sono convinto che il bene della squadra venga prima. Sempre. https://t.co/AoNuiiZ2cS
RT @redazioneiene: Niente per noi sarà più come prima, ciao Nadia https://t.co/MsUpJm253L
RT @ScuderiaFerrari: Charles Leclerc to drive for Scuderia Ferrari in 2019. https://t.co/Mu4rn1BwLe
Key Insights & Takeaways
He blends personal nostalgia with professional commentary, creating a unique narrative. His use of hashtags and references to specific events helps in reaching a targeted audience. He often highlights the human side of sports, which fosters emotional connection with followers.
Strengths
- + Established follower base of 77,797
- + 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 @MassimoCaputi reveals an growing Twitter presence with 77,797 followers. The account demonstrates a content-creator strategy, averaging 64.3 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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