Sof
odiatemi voi che io c'ho da fa
795,869
Followers
624
Following
18,624
Tweets
1,843.8
Avg Engagement
169
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sofia_viscardi'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:2013-05-01
- Verification:No
- Location:ig: sofiaviscardi
Data Summary
- Tweets Analyzed:3,143
- Avg Likes per Tweet:1,291.6
- Avg Retweets per Tweet:552.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,143 tweetsSofia's tweets typically receive around 5,000 likes and 1,400 retweets on average, showing strong audience interaction. Her content is well-received, with a consistent level of engagement across her posts.
1,291.6
Avg Likes/Tweet
552.2
Avg Retweets/Tweet
4,059,450
Total Likes
1,735,708
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,185
Median Likes
174
Median Retweets
2,300
75th Percentile
254,771
Top Tweet
2.32
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
56.5%
Original
7.7%
Replies
19.3%
Retweets
16.5%
Quotes
0.0%
Threads
0.1%
With Media
58.3%
With Links
14.4%
With #Tags
29.0%
With @Mentions
16.8%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.0%
Weekday Posts
20.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,143 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 608 retweets (19% 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 3,143 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 followersHer audience appears to be a mix of young adults and general Italian speakers interested in entertainment, social issues, and personal stories. They engage with her content through likes and retweets, indicating a high level of interaction.
Below Average
Audience Quality
37.2%
Suspicion Index
52.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
65.3%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
51.5%
<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.
9,692,702
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
1.1%
>1K followers
0.1%
>10K followers
0.0%
>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).
17.3%
Creators
8,646 accounts
17.5%
Consumers
8,727 accounts
65.3%
Dormant
32,627 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):
39
Verified Followers
0.04% of total
3,961
Protected Accounts
3.92% 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 |
|---|---|---|---|
| @mengonimarco | 1,849,855 | Singer | MATERIA, PELLE, MARCONEGLISTADI |
| @RudyZerbi | 931,615 | Musician | Music, Television, Personality |
| @noemiofficial | 748,063 | Singer | Music, Touring, Italy |
| @caterinabalivo | 436,951 | - | - |
| @amnestyitalia | 418,640 | Human rights | human rights, activism, social justice |
| @MinisteroSalute | 340,799 | Government | Health, Italy, Government |
| @MSF_ITALIA | 327,204 | Medici | Assistenza medica, Bisogno, Indipendenti |
| @JulianMarley | 272,461 | Musician | Reggae, Music, Family |
| @darcydonavan | 240,422 | Actress | Acting, Music, Producing |
| @Pinucciosono | 182,929 | Influencer | Amico, Nessuno, Tutti |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,447
Followers With Bio
66,548
Followers Without Bio
34.11%
% With Bio
65.89%
% 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 3,143 analyzed727,461
Combined Engagement
0
Total Likes
727,461
Total Retweets
145,492
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Harry_Styles: Trick Or Treat People With Kindness.
RT @Britneydortiz: We just spent a hour looking for her. https://t.co/x00nQNP4nS
RT @Harry_Styles: Thank you to all the incredible women paving the way. Happy International Women's Day. H
RT @Harry_Styles: Milan, Live On Tour. https://t.co/g9sr0k12hS
RT @zaynmalik: :)
Key Insights & Takeaways
Her top tweets often include personal reflections and social commentary, which resonate with her audience. She frequently uses hashtags to increase visibility and engagement. Her content is a mix of humor, emotion, and public discourse, which helps maintain a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 795,869
- + 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 @sofia_viscardi reveals an exceptionally influential Twitter presence with 795,869 followers. The account demonstrates a content-creator strategy, averaging 1,843.8 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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