Alessio
Sono un inguaribile romantico, mi piace la poesia e disegnare mi rilassa.
77,114
Followers
27
Following
5,499
Tweets
213.9
Avg Engagement
55
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alecover'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:2012-02-18
- Verification:No
- Location:Arezzo
Data Summary
- Tweets Analyzed:3,181
- Avg Likes per Tweet:170.4
- Avg Retweets per Tweet:43.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,181 tweetsAlecover's tweets show a steady level of interaction, with a balance between likes and retweets, indicating a loyal and engaged follower base.
170.4
Avg Likes/Tweet
43.6
Avg Retweets/Tweet
541,953
Total Likes
138,546
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
119
Median Likes
37
Median Retweets
301
75th Percentile
3,798
Top Tweet
2.77
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
71.8%
Original
4.9%
Replies
10.8%
Retweets
12.4%
Quotes
0.0%
Threads
0.3%
With Media
40.0%
With Links
14.7%
With #Tags
20.2%
With @Mentions
45.6%
With Emojis
67
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
1.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,181 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 345 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 3,181 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 followersThe audience appears to be interested in art, poetry, and personal stories, with a focus on emotional and aesthetic content.
Below Average
Audience Quality
47.7%
Suspicion Index
72.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
74.4%
Empty Bio
83.0%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
92.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
70.4%
<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.
955,034
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.6%
>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).
7.4%
Creators
743 accounts
9.6%
Consumers
959 accounts
83.0%
Dormant
8,298 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):
2
Verified Followers
0.02% of total
255
Protected Accounts
2.55% of total
6 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 |
|---|---|---|---|
| @RareCat | 425,470 | Multifaceted | Photography, Writing, Art |
| @TrastevereRM | 114,715 | Historian | Storica, Roma, Futuro |
| @drarry_175 | 84,580 | Influencer | Alcohol, Retweet, Bikini |
| @ileonalonso | 51,179 | Multifaceted Influencer | Business, Fashion, Vlogging |
| @XART_9 | 11,698 | - | - |
| @hacercanciones | 9,981 | - | - |
| @stormiXiena | 8,217 | - | - |
| @GayArtNews | 8,167 | - | - |
| @dribbble_gif | 6,197 | - | - |
| @trustgaskarth | 5,712 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,562
Followers With Bio
7,438
Followers Without Bio
25.62%
% With Bio
74.38%
% 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 3,181 analyzed8,990
Combined Engagement
7,269
Total Likes
1,721
Total Retweets
1,798
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
ll video ufficiale di #LAmoreNonHaLimite è fuori ora! 😀 https://t.co/65srSzTDUK
Portrait of @manuriosfdez :) https://t.co/f2C4oNIX8y
Festeggiamo con una bella birra! 🍻 #HappyBirthdayNiall
Ci si preoccupa di stappare bottigliette d'acqua ai concerti e poi si lasciano accadere queste tragedie. #Manchester
Questa notte c'è stato il #terremoto! 😢 Sentito ma noi stiamo bene! Voi? #PrayForItaly
Key Insights & Takeaways
Alecover often shares personal moments and artistic creations, which likely contribute to their connection with followers. They engage with other users, such as mentioning @manuriosfdez, which helps build community. Promoting music videos and celebrating birthdays suggests a mix of personal and public content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,114
- + 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 @alecover reveals an well-established Twitter presence with 77,114 followers. The account demonstrates a content-creator strategy, averaging 213.9 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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