Roberto Mancini
Allenatore ⚽️ Campione d Europa/RICHARD MILLE Testimonial/Poste Italiane Testimonial/UNICEF G A/Testimonial Regione Marche
353,513
Followers
171
Following
1,383
Tweets
1,368.3
Avg Engagement
792
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @robymancio'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:2012-01-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,369
- Avg Likes per Tweet:1,081.5
- Avg Retweets per Tweet:286.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,369 tweetsHis tweets receive significant likes and retweets, indicating strong audience interaction and interest in his content.
1,081.5
Avg Likes/Tweet
286.9
Avg Retweets/Tweet
1,480,528
Total Likes
392,703
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
206
Median Likes
63
Median Retweets
965
75th Percentile
90,952
Top Tweet
3.87
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
65.4%
Original
4.6%
Replies
26.4%
Retweets
3.6%
Quotes
0.0%
Threads
0.1%
With Media
55.8%
With Links
67.6%
With #Tags
54.2%
With @Mentions
19.6%
With Emojis
126
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.0%
Weekday Posts
34.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,369 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 362 retweets (26% 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 1,369 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 includes football fans, brand enthusiasts, and supporters of social initiatives like UNICEF.
Average
Audience Quality
28.4%
Suspicion Index
34.7%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.7%
Empty Bio
34.1%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
62.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
24.7%
<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.
37,590,669
Total Potential Reach
20
Median Follower Reach
118
75th Percentile Reach
4.1%
>1K followers
0.4%
>10K followers
0.1%
>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).
47.0%
Creators
23,524 accounts
18.9%
Consumers
9,442 accounts
34.1%
Dormant
17,034 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):
478
Verified Followers
0.48% of total
10,443
Protected Accounts
10.44% 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 |
|---|---|---|---|
| @JohnCena | 14,103,633 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Benayadachraf | 3,488,201 | Unknown | Technology, Innovation, Entrepreneurship |
| @matteorenzi | 3,378,794 | Politician | Politics, Italy, Florence |
| @khaledbauomy | 3,216,211 | Influencer | Egypt, Instagram, Travel |
| @Gazzetta_it | 1,940,588 | Sports journalism | Sports, News, Italy |
| @fabiocannavaro | 1,375,066 | Footballer | football, coaching, Italy |
| @EzioGreggio | 1,127,988 | Comedian | Comedy, TV, Entertainment |
| @futbolarena | 1,117,291 | Sports Media | Football, Digital Content, Platform |
| @YayaToure | 902,348 | Footballer | Football, Management, Contact |
| @GrantWahl | 848,808 | Sports Journalist | Soccer, Newsletter, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,752
Followers With Bio
42,248
Followers Without Bio
57.75%
% With Bio
42.25%
% 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 1,369 analyzed368,366
Combined Engagement
256,387
Total Likes
111,979
Total Retweets
73,673
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
TUTTO VERO 🇮🇹✌️ #EURO2020 https://t.co/rQTN37fooZ
RT @ManCity: https://t.co/Kz89wXt8It
New trophy, new profile pic 🏆 https://t.co/bihz7gS7hV
𝒩ℴ𝓌 𝓉𝒽ℯ 🏆 𝒾𝓈 𝒾𝓃 ℛℴ𝓂ℯ 🇮🇹 #EURO2020 https://t.co/XQwRGFRGFr
MA CHE MUSICA MAESTRO 🎶🇮🇹 #EURO2020 #ItaliaSpagna #ForzaAzzurri https://t.co/O6lMNmljWG
Key Insights & Takeaways
His content often blends personal achievements with brand promotion and social advocacy. He leverages major events like EURO2020 to boost engagement and visibility. His profile reflects a mix of professional success and public recognition through partnerships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 353,513
- + 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 @robymancio reveals an exceptionally influential Twitter presence with 353,513 followers. The account demonstrates a content-creator strategy, averaging 1,368.3 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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