NC State Men's Basketball
Official Twitter Account for NC State Men's Basketball. | IG: PackMensBball
113,400
Followers
238
Following
24,220
Tweets
161.1
Avg Engagement
819
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PackMensBball'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:2009-04-22
- Verification:Yes
- Location:Raleigh, N.C.
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:136.3
- Avg Retweets per Tweet:24.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,206 tweetsThe account consistently receives high engagement with likes and retweets, indicating strong fan interaction. The use of hashtags and multimedia enhances audience connection.
136.3
Avg Likes/Tweet
24.9
Avg Retweets/Tweet
436,834
Total Likes
79,671
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
57
Median Likes
6
Median Retweets
193
75th Percentile
12,932
Top Tweet
1.42
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
68.5%
Original
18.9%
Replies
11.3%
Retweets
1.4%
Quotes
0.0%
Threads
0.1%
With Media
93.4%
With Links
18.5%
With #Tags
44.6%
With @Mentions
45.0%
With Emojis
94
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,206 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 361 retweets (11% 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 3,206 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 consists of NC State basketball fans, students, and alumni. The account also attracts general sports enthusiasts and those interested in college basketball culture.
Average
Audience Quality
26.7%
Suspicion Index
34.7%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
38.9%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
48.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
27.5%
<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.
6,055,719
Total Potential Reach
25
Median Follower Reach
136
75th Percentile Reach
3.9%
>1K followers
0.5%
>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).
35.0%
Creators
3,504 accounts
26.0%
Consumers
2,604 accounts
38.9%
Dormant
3,892 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):
119
Verified Followers
1.19% of total
837
Protected Accounts
8.37% 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 |
|---|---|---|---|
| @DickieV | 952,900 | Sportscaster | Basketball, Broadcasting, Philanthropy |
| @ZachBoychuk | 827,705 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @UpliftingQuotes | 433,124 | Inspirational Speaker | Inspirational, Motivational, Positive |
| @shomaristone | 230,933 | Reporter | News, Emmy Awards, Journalism |
| @Ryanintheus | 198,187 | Consultant | Business Leadership, Climate Crisis, Global Citizenship |
| @travisa850 | 129,374 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @SethOnHoops | 118,025 | Sports Analyst | College basketball, Pizza, Golf |
| @jeffborzello | 109,860 | Sports Journalist | College Basketball, Chelsea FC, UDel |
| @ESPNMcGee | 105,107 | Sports Writer | Sports, Writing, Star Wars |
| @_SgtSlaughter | 101,010 | Wrestler | WWE, Hall of Famer, Champion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,816
Followers With Bio
4,184
Followers Without Bio
58.16%
% With Bio
41.84%
% 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 3,206 analyzed26,725
Combined Engagement
7,809
Total Likes
18,916
Total Retweets
5,345
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @EuroBasket: 🇪🇸 Otra generación.. mismo resultado: CAMPE🏆NES #EuroBasket x #BringTheNoise https://t.co/UNSXCCAdKc
RT @SportsCenter: TJ WARREN WITH THE FIRST 50 PIECE IN THE BUBBLE 😳🔥 https://t.co/UJlUJTaOh4
GOING DANCING! 🕺 #WPN https://t.co/3n6dIEYUy6
😎 https://t.co/R8avzkNLGo
27 Years Ago We Lost a Legend Miss and Love You, Coach Valvano https://t.co/p1aksuurTJ
Key Insights & Takeaways
The account uses a mix of promotional and emotional content to engage followers. Nostalgic posts, such as remembering Coach Valvano, resonate deeply with the audience. High engagement suggests a loyal and active fan base that values both updates and sentimental content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 113,400
- + 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 @PackMensBball reveals an well-established Twitter presence with 113,400 followers. The account demonstrates a content-creator strategy, averaging 161.1 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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