429,108
Followers
400
Following
913
Tweets
3,987.3
Avg Engagement
637
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FPellistri07'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:2015-02-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:817
- Avg Likes per Tweet:3,349.5
- Avg Retweets per Tweet:637.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 817 tweetsThe account has high engagement with an average of 85,576 likes and 5,497 retweets per tweet. This indicates a highly active and interested fan base.
3,349.5
Avg Likes/Tweet
637.8
Avg Retweets/Tweet
2,736,570
Total Likes
521,086
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
28
Median Retweets
1,565
75th Percentile
207,295
Top Tweet
9.29
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
23.3%
Original
25.6%
Replies
47.4%
Retweets
3.8%
Quotes
0.0%
Threads
0.1%
With Media
55.2%
With Links
29.1%
With #Tags
84.8%
With @Mentions
55.1%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.1
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.9%
Weekday Posts
36.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 817 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 387 retweets (47% 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 817 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 followersThe audience is primarily football fans, especially those interested in Manchester United and Uruguay national team activities. They are likely to be passionate supporters and sports enthusiasts.
Average
Audience Quality
29.8%
Suspicion Index
38.4%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.1%
Empty Bio
40.1%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
65.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
25.8%
<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.
12,187,666
Total Potential Reach
14
Median Follower Reach
68
75th Percentile Reach
2.9%
>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).
33.4%
Creators
16,697 accounts
26.5%
Consumers
13,251 accounts
40.1%
Dormant
20,052 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):
189
Verified Followers
0.19% of total
7,008
Protected Accounts
6.94% of total
3 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 |
|---|---|---|---|
| @FutSheriff | 1,036,624 | FIFA Trader | FIFA, Trading, Weekend League |
| @sportingking365 | 805,080 | Sports Betting | Punting, Lifestyle, Sports |
| @diegogodin | 660,609 | Footballer | Football, Cagliari, Uruguay |
| @UtdPlug | 591,449 | Sports News | Manchester United, Transfer News, Stats |
| @IamMzilikazi | 546,579 | Musician | Pan-African music, Album, Rise |
| @georgegalloway | 458,443 | Politician | Politics, Media, Activism |
| @davis26_jack | 446,081 | - | - |
| @Moreno | 430,300 | Influencer | Business, Manager, Serious |
| @BurhanMuhtadi | 392,702 | Political Analyst | Politics, Research, Writing |
| @BrianMcFadden | 328,127 | Singer | Music, Entertainment, Television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,187
Followers With Bio
49,812
Followers Without Bio
50.68%
% With Bio
49.32%
% 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 817 analyzed589,718
Combined Engagement
555,267
Total Likes
34,451
Total Retweets
117,944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
the day has come! 🤯 happy to make my official debut! ♥️ https://t.co/V9vcEyXM5M
this is how we do it! 👊🏼 come on Manchester United! ❤️ https://t.co/RzADwfC5Nx
big win! 🤘🏼 700 ⚽️🤯 https://t.co/xiOMG42i3s
the first one here 🏆 up the manchester reds! ❤️ @ManUtd https://t.co/eSCVbGM53w
Amazing night! ❤️🔥 Thanks reds for your support wherever we go 🇹🇭 https://t.co/sais1PBfJY
Key Insights & Takeaways
The account is heavily focused on football and personal achievements. Content is often celebratory and motivational, encouraging fan support. Links to tweets are frequently included, suggesting a desire for direct engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 429,108
- + High community engagement through conversations
- + 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 @FPellistri07 reveals an exceptionally influential Twitter presence with 429,108 followers. The account demonstrates a conversation-first approach, averaging 3,987.3 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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