Edwin Diaz
Rhp New York Mets Organization... God First. @nashaly_mercado
64,308
Followers
330
Following
2,190
Tweets
435.4
Avg Engagement
425
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SugarDiaz39'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:2013-10-25
- Verification:No
- Location:Daguao, Puerto Rico
Data Summary
- Tweets Analyzed:2,103
- Avg Likes per Tweet:182.0
- Avg Retweets per Tweet:253.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,103 tweetsThe account consistently receives a high number of likes and retweets, indicating strong community interaction. Posts often include links and gratitude, which likely drive engagement.
182.0
Avg Likes/Tweet
253.3
Avg Retweets/Tweet
382,813
Total Likes
532,767
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
72
75th Percentile
107,022
Top Tweet
6.77
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
22.8%
Original
17.5%
Replies
59.3%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
50.8%
With Links
35.0%
With #Tags
86.0%
With @Mentions
28.2%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,103 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 1,248 retweets (59% 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 2,103 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 primary audience is Mets fans, with a significant portion being loyal supporters of the team. The account also reaches out to general followers interested in sports and faith.
Average
Audience Quality
21.2%
Suspicion Index
29.2%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.6%
Empty Bio
19.9%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
44.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
12.7%
<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.
8,741,704
Total Potential Reach
43
Median Follower Reach
163
75th Percentile Reach
4.9%
>1K followers
0.7%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
60.7%
Creators
6,068 accounts
19.4%
Consumers
1,937 accounts
19.9%
Dormant
1,995 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):
98
Verified Followers
0.98% of total
1,231
Protected Accounts
12.31% of total
7 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 |
|---|---|---|---|
| @jaketapper | 3,142,640 | Journalist | News, Politics, Journalism |
| @Moreno | 428,841 | Influencer | Business, Manager, Serious |
| @kevincorke | 184,666 | Journalist | Politics, News, Sports |
| @30R9gmaMUy3guDJ | 183,165 | Sports Reporter | Baseball, Sports news, Updates |
| @ZugeyLamela | 165,249 | Reporter | News, Reporting, Journalism |
| @Metro_PR | 161,578 | News Outlet | News, Puerto Rico, Free |
| @DRob30 | 157,261 | Pitcher | Baseball, Charity, Family |
| @HeidiWatney | 141,577 | Sports Broadcaster | sports, beach, faith |
| @kodaisenga | 135,663 | Baseball Player | baseball, manga, NY Mets |
| @JohnMoralesTV | 125,353 | Meteorologist | Meteorology, Science Communication, Climate Data |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,443
Followers With Bio
4,557
Followers Without Bio
54.43%
% With Bio
45.57%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,103 analyzed235,787
Combined Engagement
42,576
Total Likes
193,211
Total Retweets
47,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @kobebryant: Welcome to the family @KingJames #lakers4life #striveforgreatness @JeanieBuss @MagicJohnson and RP well done!!! 🙌🏾
To all my beloved fans, especially the Mets fans, I want to let you know that I am doing well and healing. I feel blessed and grateful for your support with messages and prayers, thank you very much! I can't wait to see you guys in NY again and play those trumpets. https://t.co
RT @Mefollomiradas: Patrick, de 6 años, con el certificado que acredita que ha superado el Ébola. Su sonrisa vale por mil palabras. http://t.co/exS8SEr5z8
RT @SLAMonline: Miss you. https://t.co/Ftjx04CC29
RT @Curiosidades_TM: Un gran Retweet para estos 4 campeones. http://t.co/cs6nuERKXV
Key Insights & Takeaways
The user frequently shares personal updates and gratitude towards fans, which fosters a sense of connection. They leverage their association with the Mets to build credibility and loyalty among followers. The account uses emotional and motivational language to engage and retain followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 64,308
- + 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 @SugarDiaz39 reveals an well-established Twitter presence with 64,308 followers. The account demonstrates a content-creator strategy, averaging 435.4 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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