Nelson Cruz
OF/DH JD/BD Boomstick23 Foundation PR/Media Inquiries https://www.mlb.com/all-star/ballot
120,058
Followers
908
Following
3,069
Tweets
163.4
Avg Engagement
660
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ncboomstick23'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:2013-03-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,019
- Avg Likes per Tweet:125.3
- Avg Retweets per Tweet:38.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,019 tweetsHis tweets receive a high number of likes and retweets, suggesting strong community interaction and support.
125.3
Avg Likes/Tweet
38.1
Avg Retweets/Tweet
378,268
Total Likes
114,921
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
7
Median Retweets
106
75th Percentile
17,212
Top Tweet
1.36
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
49.2%
Original
21.1%
Replies
24.7%
Retweets
5.0%
Quotes
0.0%
Threads
1.0%
With Media
61.7%
With Links
29.4%
With #Tags
59.8%
With @Mentions
7.0%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,019 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 745 retweets (25% 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 3,019 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 includes baseball fans, teammates, and media, as well as individuals interested in his personal journey.
Average
Audience Quality
26.3%
Suspicion Index
32.9%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
28.2%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
55.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
20.8%
<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.
61,883,699
Total Potential Reach
38
Median Follower Reach
170
75th Percentile Reach
5.0%
>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).
55.8%
Creators
27,879 accounts
16.1%
Consumers
8,041 accounts
28.2%
Dormant
14,080 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):
461
Verified Followers
0.46% of total
10,885
Protected Accounts
10.78% of total
9 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 | 14,101,229 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JohnLegere | 5,773,144 | Business Leader | Batman, Running, NYC |
| @Faitelson_ESPN | 4,086,499 | - | - |
| @noticierovv | 3,763,946 | News Anchor | News, Venezuela, TV |
| @faridyu | 2,961,433 | Baseball Player | Baseball, Quotes, Supplements |
| @Variety | 2,912,808 | Entertainment industry | Entertainment, Business, Variety |
| @benlandis | 2,846,679 | - | - |
| @MikeTrout | 2,576,515 | Baseball Player | Baseball, Angels, Jess Tara |
| @Seahawks | 2,573,615 | Sports Team | Football, Seattle, #GoHawks |
| @MLBNetwork | 2,207,050 | Sports Media | Baseball, Social Media, Giveaways |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,005
Followers With Bio
46,993
Followers Without Bio
53.47%
% With Bio
46.53%
% 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 3,019 analyzed68,635
Combined Engagement
51,299
Total Likes
17,336
Total Retweets
13,727
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Sad to hear that another one of our brothers has left us. RIP Tyler Skaggs. Gone too soon. https://t.co/Zrb68VPdqf
I would like to thank the fans, Twins' ownership, the press, the city, the coaching staff, everyone in the clubhouse and last but not least, my teammates. I am truly grateful to have played alongside you. Minnesota even though it was a short stay you are very special to me.
RT @MikeTrout: Regarding The MLB Lockout: https://t.co/QQUC1pWr5F
New team, who this? https://t.co/pAiAZZs02V
#NewProfilePic https://t.co/BTmPGwzTXj
Key Insights & Takeaways
He frequently acknowledges his fans and team, showing appreciation and connection. He shares personal and professional milestones, highlighting his career progression. He engages with media and public figures, indicating a strategic approach to his public image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,058
- + 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 @ncboomstick23 reveals an well-established Twitter presence with 120,058 followers. The account demonstrates a content-creator strategy, averaging 163.4 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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