Kyle Neptune
William B. Finneran Endowed Head Coach - @NovaMBB
16,062
Followers
407
Following
1,525
Tweets
157.2
Avg Engagement
48
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kyleneptune'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:2010-04-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:97.0
- Avg Retweets per Tweet:60.2
- Followers Analyzed:15,377
Engagement Analysis
Based on 599 tweetsPosts typically receive around 560 likes and 34 retweets, indicating moderate engagement with the content.
97.0
Avg Likes/Tweet
60.2
Avg Retweets/Tweet
58,094
Total Likes
36,082
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
67
Median Likes
5
Median Retweets
155
75th Percentile
24,048
Top Tweet
9.79
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
50.9%
Original
0.2%
Replies
24.0%
Retweets
24.9%
Quotes
0.0%
Threads
0.0%
With Media
90.8%
With Links
14.0%
With #Tags
84.5%
With @Mentions
11.4%
With Emojis
106
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 144 retweets (24% 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 599 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 15,377 followersThe primary audience includes fans of Nova basketball, students, and local community members interested in sports updates.
Good
Audience Quality
17.9%
Suspicion Index
21.9%
Low-Quality %
125
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
13.4%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
30.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.6%
No URL
8.3%
<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.
36,358,573
Total Potential Reach
125
Median Follower Reach
423
75th Percentile Reach
13.5%
>1K followers
1.8%
>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).
69.2%
Creators
10,639 accounts
17.4%
Consumers
2,673 accounts
13.4%
Dormant
2,065 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):
435
Verified Followers
2.83% of total
2,177
Protected Accounts
14.16% of total
8 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 |
|---|---|---|---|
| @wojespn | 5,891,995 | Sports Journalist | NBA, Insider, Podcasting |
| @DukeMBB | 2,193,874 | Basketball Coach | Basketball, Championships, Duke Blue Devils |
| @MarchMadnessMBB | 1,703,764 | Sports Media | - |
| @JAYVERSACE | 1,647,479 | Entertainer | olorisa, obatalá, afrotunes |
| @RexChapman | 1,255,105 | Commentator | Basketball, Horse racing, Commentary |
| @costareports | 737,501 | Reporter | Politics, Journalism, Writing |
| @CBBonFOX | 658,246 | Sports Commentator | College Hoops, FOX Sports, App |
| @joshhart | 581,188 | Athlete | Basketball, Crypto, Gaming |
| @Suntimes | 550,310 | News Outlet | News, Chicago, Journalism |
| @TheAndyKatz | 488,977 | Sports Journalist | College basketball, March Madness, Sports analysis |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,914
Followers With Bio
5,463
Followers Without Bio
64.47%
% With Bio
35.53%
% 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 599 analyzed28,087
Combined Engagement
1,994
Total Likes
26,093
Total Retweets
5,617
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Phillies: WE'RE GOING TO THE WORLD SERIES. #RedOctober https://t.co/OMP83pcCxZ
It’s a great day to be a wildcat! https://t.co/hhnUpBr7AR
RT @joshhart: When it’s not your night offensively got to do the little things to impact the game
Great road win! @markarmstr0ng1 continued the birthday tradition with elite dance moves! https://t.co/DHZPtBI2zY
RT @BrooklynNets: Newest members of #NetsWorld Welcome to Brooklyn, Mikal and Cam! https://t.co/InL8Fno1hl
Key Insights & Takeaways
The coach frequently highlights team successes and player milestones, which likely strengthens fan loyalty. The use of hashtags and mentions of players helps in building a sense of community and recognition. The content is mostly celebratory, which aligns with the expectations of a sports coach's social media presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 16,062
- + 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 @kyleneptune reveals an well-established Twitter presence with 16,062 followers. The account demonstrates a content-creator strategy, averaging 157.2 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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