Simone Paciello
c’ho più crisi che cervello. 🦙
326,973
Followers
233
Following
2,667
Tweets
866.1
Avg Engagement
38
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @simone_paciello'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:2015-05-21
- Verification:No
- Location:Instagram: Awed__
Data Summary
- Tweets Analyzed:2,655
- Avg Likes per Tweet:702.7
- Avg Retweets per Tweet:163.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,655 tweetsHis tweets receive a high level of engagement, with an average of 4,911 likes and 1,003 retweets per tweet. This suggests a loyal and active community around his content.
702.7
Avg Likes/Tweet
163.4
Avg Retweets/Tweet
1,865,784
Total Likes
433,775
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
579
Median Likes
126
Median Retweets
1,361
75th Percentile
8,397
Top Tweet
2.65
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.9%
Original
4.1%
Replies
22.1%
Retweets
2.9%
Quotes
0.0%
Threads
0.0%
With Media
48.6%
With Links
53.3%
With #Tags
33.6%
With @Mentions
24.0%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.9%
Weekday Posts
19.1%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 2,655 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 587 retweets (22% 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 2,655 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 appears to be fans of music, particularly Italian pop, and individuals who appreciate casual, relatable content. The audience is likely aged 18-35, given the themes and tone.
Below Average
Audience Quality
36.7%
Suspicion Index
50.7%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.3%
Empty Bio
67.1%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
55.1%
<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.
3,418,067
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
1.2%
>1K followers
0.0%
>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).
17.5%
Creators
8,752 accounts
15.4%
Consumers
7,716 accounts
67.1%
Dormant
33,532 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):
19
Verified Followers
0.02% of total
4,093
Protected Accounts
4.05% of total
4 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 |
|---|---|---|---|
| @gretamenchi | 714,280 | Influencer | Fashion, Beauty, Lifestyle |
| @IsolaDeiFamosi | 248,562 | Reality TV | Reality TV, Adventure, Entertainment |
| @GFVIP_Official | 107,444 | - | - |
| @Ceciliacantara | 75,654 | Student | comedy, self-deprecation, confusion |
| @musclegodz | 70,953 | Fitness Influencer | Fitness, Camming, Adult entertainment |
| @ilMenestrelloh | 64,432 | Content Creator | Content creation, journalism, social media |
| @GiulioTerzi | 59,651 | Diplomat | Diplomacy, Politics, International Relations |
| @trashastrale | 55,632 | - | - |
| @webbohit | 52,715 | Influencer | Gen-Z, voce, Diamo |
| @sayrevee | 49,000 | Musician | music, Italy, singing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,447
Followers With Bio
58,552
Followers Without Bio
42.03%
% With Bio
57.97%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,655 analyzed34,630
Combined Engagement
30,448
Total Likes
4,182
Total Retweets
6,926
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Supportiamo @fedefederossi & @Benji_Mascolo ascoltando Eres Mia su Spotify https://t.co/K0aTBQOAtE ! Manca poco al disco d'oro! Grandi Raga!
Meritatissimo ♥️💪🏼 #tzvip #gfvip #TommasoZorzi https://t.co/r4oXrF4kwQ
Potró avere anche 24 anni, ma l’errore di alzarmi troppo velocemente dal letto e di vedere San Pietro con le chiavi del paradiso in mano ogni volta continueró a commetterlo.
Il cibo è meglio delle persone
È andata bene no? L’ha vissuta serena... #Isola https://t.co/Jc1nWfsxCm
Key Insights & Takeaways
His content often includes music promotion and support for other artists, indicating a focus on collaboration and community. He uses humor and personal anecdotes to connect with his audience, making his tweets relatable and engaging. His bio and tweets suggest a casual, self-aware personality that resonates with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 326,973
- + 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 @simone_paciello reveals an well-established Twitter presence with 326,973 followers. The account demonstrates a content-creator strategy, averaging 866.1 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access