Nonpoint
Follow us: @EliasBLC44 @RobbRiveraNP @JaYSyN13 @SheedPoint @Adam808np “Pre-save “RUTHLESS” now at https://nonpoint.com/”
54,644
Followers
136
Following
30,728
Tweets
30.9
Avg Engagement
502
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nonpoint'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:2009-01-30
- Verification:No
- Location:Fort Lauderdale/Chicago
Data Summary
- Tweets Analyzed:2,989
- Avg Likes per Tweet:10.8
- Avg Retweets per Tweet:20.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,989 tweetsThe account maintains a consistent level of engagement with an average of 525 likes and 74 retweets per tweet. The use of interactive tweets encourages followers to participate and follow back.
10.8
Avg Likes/Tweet
20.1
Avg Retweets/Tweet
32,322
Total Likes
60,151
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
9
75th Percentile
31,046
Top Tweet
0.57
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
34.1%
Original
10.1%
Replies
51.1%
Retweets
4.7%
Quotes
0.0%
Threads
1.0%
With Media
76.1%
With Links
16.5%
With #Tags
70.7%
With @Mentions
11.2%
With Emojis
114
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,989 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 1,527 retweets (51% 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 2,989 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 audience likely includes wrestling fans, music enthusiasts, and individuals interested in social media interactions. The account's focus on engagement suggests it targets a community that values participation and feedback.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.7%
No URL
100.0%
<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.
26,637,819
Total Potential Reach
41
Median Follower Reach
166
75th Percentile Reach
7.0%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
849
Protected Accounts
8.49% of total
5 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 | 14,090,678 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CoreyTaylorRock | 699,917 | Musician | Music, Rock, Metal |
| @ZelinaVegaWWE | 643,714 | Wrestler | WWE, Actress, Gamer |
| @Loudwire | 548,899 | Music Journalist | Rock, Metal, Subculture |
| @OfficialTAZ | 500,089 | Wrestler | wrestling, color commentary, championships |
| @aliciagrimes71 | 492,749 | Influencer | Youtube influencers, Music, Magazine |
| @ttrulss | 431,260 | - | - |
| @DrJimmyStar | 305,700 | - | - |
| @ForcePromotion | 223,368 | - | - |
| @HarrisonKrank | 222,614 | Student | University of North Dakota, Photography, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,587
Followers With Bio
3,413
Followers Without Bio
65.87%
% With Bio
34.13%
% 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 2,989 analyzed47,089
Combined Engagement
0
Total Likes
47,089
Total Retweets
9,418
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @chuuzus: one of the scariest scenes in any film ever, and it’s not even a horror film. https://t.co/AHhukG6XNh
RT @Wendys: Who wants a shot at getting Baconator free... for life?
RT @YESNetwork: WALK-OFF WIN! Giancarlo Stanton gets his signature Yankees moment with this home run to win the game. https://t.co/YIjuIAN9Dj
RT @Metallica: HAPPY BIRTHDAY LARS! 🎉 🎂 🎁 📷 Photo by @RossHalfin https://t.co/DpY1O36bhQ
RT @Metallica: Yeah! 🤘🏻 https://t.co/tnC9rBtm8x
Key Insights & Takeaways
The account uses a mix of promotional and interactive content to drive engagement. It emphasizes following and retweeting as a way to build community and visibility. The bio includes multiple handles, suggesting a group or collective managing the account.
Strengths
- + Established follower base of 54,644
- + 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 @nonpoint reveals an growing Twitter presence with 54,644 followers. The account demonstrates a content-creator strategy, averaging 30.9 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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