Emerson Palmieri
💪🏾⚽️ Instagram: emersonpalmieri
340,080
Followers
204
Following
8,748
Tweets
596.0
Avg Engagement
530
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @emersonpalmieri'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:2010-07-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:524.7
- Avg Retweets per Tweet:71.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,190 tweetsHis tweets receive an average of 35,000 likes and 2,700 retweets, indicating strong audience interaction. The high engagement suggests that his content resonates well with his followers.
524.7
Avg Likes/Tweet
71.4
Avg Retweets/Tweet
1,673,647
Total Likes
227,671
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
5
75th Percentile
68,261
Top Tweet
1.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
53.1%
Original
37.5%
Replies
8.8%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
25.5%
With Links
21.4%
With #Tags
57.3%
With @Mentions
20.8%
With Emojis
67
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.71
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 281 retweets (9% 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 3,190 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 primarily consists of football enthusiasts and Chelsea supporters who are interested in match updates and team performance. The content is tailored to engage fans emotionally and keep them connected to the team.
Average
Audience Quality
30.3%
Suspicion Index
32.2%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.3%
Empty Bio
37.7%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
69.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
22.2%
<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.
33,132,775
Total Potential Reach
21
Median Follower Reach
93
75th Percentile Reach
2.7%
>1K followers
0.2%
>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).
32.7%
Creators
16,343 accounts
29.6%
Consumers
14,792 accounts
37.7%
Dormant
18,865 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):
149
Verified Followers
0.15% of total
6,548
Protected Accounts
6.48% 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 |
|---|---|---|---|
| @JohnCena | 14,103,403 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RailaOdinga | 4,272,150 | Politician | Politics, Infrastructure, Africa |
| @SantosFC | 3,104,222 | Football Club | Football, Sports, Brazil |
| @WestHam | 2,597,318 | Supporter Services | Football, Supporter Services, Official App |
| @OL | 2,319,087 | Football Club | Football, Women's team, Foundation |
| @XS_11official | 1,140,451 | Footballer | Football, Music, Fashion |
| @Ligue1_ENG | 1,046,713 | Sports Media | Football, French league, Champions Trophy |
| @DoentesPFutebol | 804,044 | Sports Blogger | Futebol, Informação, Opinião |
| @RicaPerrone | 689,194 | - | - |
| @JM_Aulas | 666,878 | Entrepreneur | Football, Business, Technology |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,644
Followers With Bio
39,354
Followers Without Bio
61.03%
% With Bio
38.97%
% 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 3,190 analyzed243,990
Combined Engagement
163,554
Total Likes
80,436
Total Retweets
48,798
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @acffiorentina: La Fiorentina profondamente sconvolta si trova costretta a comunicare che e' scomparso il suo capitano Davide Astori, co…
🔵💪🏾 https://t.co/ekJvgB96Dg
CHAMPIOOOONS!!!!! #UCLFinal C’mon CHELSEA!!!! 💙💙💙💙 https://t.co/H3OORLpo45
Here we come! 💙🤩 @ChampionsLeague final! #UCL #CFC https://t.co/h9eVg8zdYM
Happy for the great result and for the goal! Onto the next round! Thank God! #CFC 🙏🏾 https://t.co/2pej1v3DbO
Key Insights & Takeaways
His top tweets include celebratory messages and match highlights, which drive high engagement. He frequently uses emojis and hashtags to enhance the emotional impact of his posts. His content is heavily focused on supporting his team and celebrating key moments in football.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 340,080
- + 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 @emersonpalmieri reveals an well-established Twitter presence with 340,080 followers. The account demonstrates a content-creator strategy, averaging 596.0 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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