Alberico
Alberico, 24, Rome, Italy
674,147
Followers
3,064
Following
11,271
Tweets
1,817.8
Avg Engagement
130
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RealAlbericoyes'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:2012-06-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:1,410.9
- Avg Retweets per Tweet:406.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,146 tweetsThe account shows consistent engagement, with a high average number of likes and retweets per tweet.
1,410.9
Avg Likes/Tweet
406.9
Avg Retweets/Tweet
4,438,842
Total Likes
1,280,061
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,386
Median Likes
236
Median Retweets
2,479
75th Percentile
137,855
Top Tweet
2.7
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.5%
Original
0.4%
Replies
7.8%
Retweets
14.3%
Quotes
0.0%
Threads
0.4%
With Media
50.8%
With Links
11.4%
With #Tags
9.7%
With @Mentions
35.7%
With Emojis
68
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.84
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.2%
Weekday Posts
29.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 245 retweets (8% 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 3,146 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 interested in current events and social issues, given the nature of his top tweets.
Below Average
Audience Quality
44.9%
Suspicion Index
65.9%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.6%
Empty Bio
78.4%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
88.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
64.2%
<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.
3,581,365
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.5%
>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).
7.9%
Creators
3,942 accounts
13.8%
Consumers
6,876 accounts
78.4%
Dormant
39,182 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):
13
Verified Followers
0.01% of total
2,495
Protected Accounts
2.47% 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 |
|---|---|---|---|
| @larrykim | 729,315 | Entrepreneur | Startups, AdWords, Chatbots |
| @gretamenchi | 714,640 | Influencer | Fashion, Beauty, Lifestyle |
| @wefollowbackd | 457,154 | Football Blogger | Football, News, Sport |
| @RareCat | 427,504 | Multifaceted | Photography, Writing, Art |
| @KingDivine315 | 324,550 | - | - |
| @_AndyyLucas_ | 115,253 | Singer | Music, Awards, Concerts |
| @UnoFRAtanti | 113,444 | Influencer | Fashion, Self-love, Empowerment |
| @harryhudson | 92,860 | Musician | Music, Support, Connection |
| @SpotifyItaly | 74,712 | Music streaming | musica, podcast, Italia |
| @musclegodz | 70,967 | Fitness Influencer | Fitness, Camming, Adult entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,594
Followers With Bio
75,402
Followers Without Bio
25.34%
% With Bio
74.66%
% 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 3,146 analyzed338,086
Combined Engagement
0
Total Likes
338,086
Total Retweets
67,617
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @justinbieber: Can we still be friends
RT @justinbieber: New music. This Friday. Me and @davidguetta #2U
RT @justinbieber: Almost time #ColdWater https://t.co/DNrmxUbE51
RT @justinbieber: 7???
RT @justinbieber: Drop the album already. Happy thanksgiving
Key Insights & Takeaways
His top tweets often highlight urgent or concerning situations, indicating a focus on real-time events. He frequently interacts with other users, as seen in his reply to @Benji_Mascolo. His content seems to resonate with a broad audience, given the high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 674,147
- + 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 @RealAlbericoyes reveals an exceptionally influential Twitter presence with 674,147 followers. The account demonstrates a content-creator strategy, averaging 1,817.8 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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