Simone Rovera
⚽️🇮🇹🇫🇷 Sport Communication // PressOffice @GoldenBoyAwards //PR // journalisme
53,555
Followers
2,371
Following
47,804
Tweets
251.2
Avg Engagement
354
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SimoneRovera'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:2010-10-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:78.7
- Avg Retweets per Tweet:172.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,234 tweetsHis tweets typically receive high engagement, with an average of 6,919 likes and 992 retweets, indicating a strong and active community interested in his content.
78.7
Avg Likes/Tweet
172.4
Avg Retweets/Tweet
254,599
Total Likes
557,641
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
2
Median Retweets
73
75th Percentile
54,954
Top Tweet
4.69
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
47.3%
Original
31.8%
Replies
11.0%
Retweets
9.9%
Quotes
0.0%
Threads
0.3%
With Media
27.0%
With Links
24.2%
With #Tags
51.9%
With @Mentions
41.2%
With Emojis
128
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.5%
Weekday Posts
40.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 357 retweets (11% 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 3,234 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 primarily consists of sports enthusiasts, journalists, and fans of Italian and international football, particularly interested in press and communication aspects.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
100.0%
<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.
10,072,515
Total Potential Reach
27
Median Follower Reach
116
75th Percentile Reach
4.5%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
661
Protected Accounts
6.61% 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 |
|---|---|---|---|
| @SinghLions | 1,325,936 | Restaurateur | Food, Travel, Influencer |
| @gerardromero | 1,180,339 | Sports Journalist | Sports, Radio, Journalism |
| @VibesFoot | 580,177 | Football Analyst | Football, Vibes, Perspective |
| @Moreno | 429,411 | Influencer | Business, Manager, Serious |
| @FreddyGladieux | 425,607 | Musician | music, travel, food |
| @mufcMPB | 378,602 | Sports Journalist | Football, Transfer News, Manchester United |
| @EmekEge | 265,512 | Sportscaster | Sports, Broadcasting, NTV Spor |
| @umarfof | 163,914 | Museum Curator | Art, Culture, Words |
| @ElijahKyama_ | 160,509 | Football Fan | Football, Superheroes, Derbies |
| @lequipedegreg | 160,463 | Sports commentator | Sports, Talk show, Television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,238
Followers With Bio
4,762
Followers Without Bio
52.38%
% With Bio
47.62%
% 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 3,234 analyzed219,840
Combined Engagement
31,697
Total Likes
188,143
Total Retweets
43,968
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @ManCity: Manchester City can confirm that we have reached an agreement in principle with Borussia Dortmund for the transfer of striker Erling Haaland to the Club on 1st July 2022. The transfer remains subject to the Club finalising terms with the player.
RT @EURO2020: Following the medical emergency involving Denmark's player Christian Eriksen, a crisis meeting has taken place with both teams and match officials and further information will be communicated at 19:45 CET. The player has been transferred to the hospital and has be
RT @21LVA: Thank you @premierleague ! It’s been a hell of a ride 😍💙 https://t.co/lxx6QWVfPG
RT @MargauxPinot2: Dans la nuit de samedi à dimanche, j’ai été victime d’une agression à mon domicile par mon compagnon et entraîneur. J’ai été insultée, rouée de coups de poings, ma tête a été frappée au sol à plusieurs reprises. Et finalement étranglée. https://t.co/Ghbwg8NVQy
Choix politique très forte de l’Italie de boycotter la prochaine Coupe du Monde au Qatar…
Key Insights & Takeaways
He often critiques major football events and decisions, such as Italy's boycott of the Qatar World Cup. He highlights controversial player performances and awards, questioning their legitimacy. He uses hashtags to spark discussions on topics like Messi's Ballon d'Or wins and Neymar's selection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,555
- + 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 @SimoneRovera reveals an well-established Twitter presence with 53,555 followers. The account demonstrates a content-creator strategy, averaging 251.2 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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