Giovanni Ciccia
Actor, director, productor. #VinylCollector #Chabelo
363,876
Followers
1,723
Following
26,108
Tweets
476.2
Avg Engagement
444
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GiovanniCiccia'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:2010-05-04
- Verification:No
- Location:Lima, Perú
Data Summary
- Tweets Analyzed:3,113
- Avg Likes per Tweet:13.9
- Avg Retweets per Tweet:462.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,113 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The use of emojis and trending topics helps to boost engagement and visibility.
13.9
Avg Likes/Tweet
462.2
Avg Retweets/Tweet
43,420
Total Likes
1,438,960
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
72
75th Percentile
244,110
Top Tweet
1.31
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
23.2%
Original
3.8%
Replies
70.2%
Retweets
2.8%
Quotes
0.0%
Threads
0.3%
With Media
46.1%
With Links
44.8%
With #Tags
84.9%
With @Mentions
29.3%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,113 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 2,185 retweets (70% 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 3,113 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 a mix of fans and industry peers, interested in his career and personal life. The use of hashtags like #VinylCollector and #Chabelo suggests a niche but dedicated following.
Average
Audience Quality
32.8%
Suspicion Index
38.8%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
44.5%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
80.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
30.9%
<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.
15,289,791
Total Potential Reach
6
Median Follower Reach
27
75th Percentile Reach
1.0%
>1K followers
0.2%
>10K followers
0.1%
>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).
31.3%
Creators
15,664 accounts
24.2%
Consumers
12,094 accounts
44.5%
Dormant
22,242 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):
67
Verified Followers
0.07% of total
7,471
Protected Accounts
7.47% of total
7 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 |
|---|---|---|---|
| @Latina_pe | 3,304,673 | Media | Soccer, Latina TV, Qatar 2022 |
| @Culturizando | 1,947,698 | Educational Content | Cultura general, Trivias, Conocimientos |
| @CynthiaLIVE | 1,424,908 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @JDaIey | 1,228,879 | - | - |
| @shaunking | 1,022,114 | Activist | Social justice, activism, journalism |
| @Yacoturco9 | 882,433 | Actor | Actor, ex futbolista |
| @peru21noticias | 796,204 | News outlet | Noticias, Acontecer, Nacional |
| @Agencia_Andina | 765,523 | News Agency | Peru, noticias, mundo |
| @jennajameson | 746,350 | Adult Film Star | Mother, Conservative, Productive |
| @CAA_Official | 742,262 | Musician | Industrial, Goth, ElectroPunk |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,606
Followers With Bio
54,394
Followers Without Bio
45.61%
% With Bio
54.39%
% 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 3,113 analyzed465,414
Combined Engagement
0
Total Likes
465,414
Total Retweets
93,083
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: Comedy is now legal on Twitter
RT @RollingStones: https://t.co/wi6333F6QF
RT @officialKeef: https://t.co/YUR6lckf8k
RT @jordanbpeterson: I'm back. Thanks @elonmusk https://t.co/MnWWNDACGD
RT @BernieSanders: It shouldn't matter what age you are. No one needs an AR-15 or any other assault weapon designed to massacre people. Whe…
Key Insights & Takeaways
He frequently shares personal reflections and experiences, which resonate with his audience. His content often includes references to his family and professional work, highlighting his personal brand. He leverages hashtags and mentions to increase visibility and connect with relevant communities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 363,876
- + 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 @GiovanniCiccia reveals an well-established Twitter presence with 363,876 followers. The account demonstrates a content-creator strategy, averaging 476.2 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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