81,337
Followers
413
Following
8,124
Tweets
516.8
Avg Engagement
160
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Eleonora_Boi'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:2011-11-02
- Verification:No
- Location:Milano
Data Summary
- Tweets Analyzed:2,938
- Avg Likes per Tweet:27.7
- Avg Retweets per Tweet:489.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,938 tweetsHer tweets receive an average of 932 likes and 95 retweets, indicating a moderately engaged audience. The use of emojis and hashtags helps drive interaction.
27.7
Avg Likes/Tweet
489.1
Avg Retweets/Tweet
81,410
Total Likes
1,436,925
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
48
75th Percentile
274,414
Top Tweet
6.35
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
26.0%
Original
15.5%
Replies
52.6%
Retweets
5.9%
Quotes
0.0%
Threads
0.1%
With Media
64.5%
With Links
43.7%
With #Tags
77.7%
With @Mentions
49.9%
With Emojis
108
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,938 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 1,546 retweets (53% 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 2,938 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 followersHer audience appears to be interested in sports, especially football, and festive occasions. They engage with her content through likes and retweets.
Average
Audience Quality
31.1%
Suspicion Index
35.5%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.0%
Empty Bio
30.5%
<10 Tweets
16.4%
Mass Following (>2K)
0.0%
New (<90 days)
69.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
19.9%
<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.
3,198,218
Total Potential Reach
27
Median Follower Reach
112
75th Percentile Reach
3.4%
>1K followers
0.3%
>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).
45.3%
Creators
4,529 accounts
24.2%
Consumers
2,420 accounts
30.5%
Dormant
3,051 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):
17
Verified Followers
0.17% of total
1,086
Protected Accounts
10.86% 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 |
|---|---|---|---|
| @CagliariCalcio | 383,957 | Football Club | Football, Champions, Gaming |
| @googleitalia | 209,394 | - | - |
| @tvdellosport | 151,077 | Sports broadcaster | Sport, Italia, Canali |
| @pedrogva6 | 103,659 | Transfer Insider | Transfers, Portuguese, Insider |
| @PaolaSaulino | 88,471 | Entertainer | Performer, Artist, Actress |
| @jaykay10__ | 79,264 | Influencer | Luxury, Beauty, Sharing |
| @LucaTalotta | 62,368 | Influencer | Comunicare, giornalismo, influencer |
| @HottiesBay | 56,144 | Adult Entertainment | Sex cams, Hotties photos, Free chat |
| @FedericaDesiree | 48,477 | Influencer | - |
| @dea_channel | 40,280 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,895
Followers With Bio
5,105
Followers Without Bio
48.95%
% With Bio
51.05%
% 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 2,938 analyzed1,005,333
Combined Engagement
0
Total Likes
1,005,333
Total Retweets
201,067
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @LeoDiCaprio: Thank you to the Academy and the incredible cast & crew of #TheRevenant. #Oscars
RT @BarackObama: Michelle and I are thinking of the victims and their families in Barcelona. Americans will always stand with our Spanish friends. Un abrazo.
RT @KingJames: https://t.co/J40qxvNc82
RT @MoSalah: It was a very tough night, but I'm a fighter. Despite the odds, I'm confident that I'll be in Russia to make you all proud. Your love and support will give me the strength I need. https://t.co/HTfKF4S70e
RT @kobebryant: Dear Basketball: https://t.co/KDecft6BO2 #KB20
Key Insights & Takeaways
She leverages holidays and special events to boost engagement Her content often includes links to media or events, suggesting a focus on promotion She uses hashtags effectively to reach a broader audience and encourage participation
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 81,337
- + 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 @Eleonora_Boi reveals an well-established Twitter presence with 81,337 followers. The account demonstrates a content-creator strategy, averaging 516.8 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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