New Hampshire Motor Speedway
Official account of #TheMagicMile. ✨🦞
82,796
Followers
1,017
Following
855
Tweets
55.7
Avg Engagement
1,049
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NHMS'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:2009-01-28
- Verification:No
- Location:Loudon, NH
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:33.3
- Avg Retweets per Tweet:22.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsThe account shows consistent engagement with an average of 893 likes and 146 retweets per tweet. The content is well-received, with a notable portion of the audience retweeting and liking posts.
33.3
Avg Likes/Tweet
22.3
Avg Retweets/Tweet
108,221
Total Likes
72,562
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
2
Median Retweets
37
75th Percentile
38,038
Top Tweet
0.67
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
58.2%
Original
15.7%
Replies
13.6%
Retweets
12.5%
Quotes
0.0%
Threads
0.7%
With Media
88.2%
With Links
53.4%
With #Tags
56.0%
With @Mentions
47.6%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.1%
Weekday Posts
32.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 441 retweets (14% 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 3,247 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 is primarily interested in motorsports, particularly NASCAR, with a focus on drivers and events. They are likely fans of racing and follow updates from popular drivers and teams.
Average
Audience Quality
26.5%
Suspicion Index
29.1%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.8%
Empty Bio
26.3%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
60.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
17.4%
<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.
18,550,038
Total Potential Reach
36
Median Follower Reach
135
75th Percentile Reach
3.9%
>1K followers
0.5%
>10K followers
0.1%
>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).
51.6%
Creators
5,160 accounts
22.1%
Consumers
2,209 accounts
26.3%
Dormant
2,631 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):
110
Verified Followers
1.1% of total
899
Protected Accounts
8.99% of total
4 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 | 14,097,951 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 800,223 | Activism | equality, bullying, discrimination |
| @LarryMac28 | 226,328 | Sports Analyst | NASCAR, Sports, Family |
| @SleeperHQ | 167,885 | Fantasy Sports | football, basketball, esports |
| @PaulPabst | 145,188 | Sports Broadcaster | archery, plaid, Walter Payton |
| @BernardMarr | 138,137 | Futurist | Business, Tech, Data |
| @Tjmajors | 84,095 | Spotter | Family, Spotting, Racing |
| @TeamTrackhouse | 65,906 | NASCAR Team | NASCAR, Racing, Next Generation |
| @RochieWBZ | 64,644 | Sports Journalist | Sports, Boston Marathon, Gingerbread House |
| @rubbinisracing | 52,811 | Sports Media | NASCAR, Barstool Sports, Racing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,923
Followers With Bio
4,077
Followers Without Bio
59.23%
% With Bio
40.77%
% 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 3,247 analyzed44,137
Combined Engagement
2,169
Total Likes
41,968
Total Retweets
8,827
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @BubbaWallace: Minding my bidness and The King comes in with a surprise signature attack! 43000 RTs and I'll get it tattooed. https://t.co/fpcvlRbeti
RT @NASCAR: retweet if this makes you happy #BuschClash https://t.co/auS9Wt3YMB
RT @NASCAR: NEWS: NASCAR Cup Series racing returns on May 17 at @TooToughToTame. Details: https://t.co/NgkyOaamlE https://t.co/imnwjMOgqw
RT when you see it. 👀 https://t.co/isEihbCqeX
Look what just arrived! 🧢 👕 🚗 https://t.co/bfuNd3yY4H
Key Insights & Takeaways
The account frequently shares content about popular drivers and teams, indicating a focus on fan favorites. It uses links to provide more detailed information or to direct followers to event pages. The top tweets include both event announcements and driver-related content, suggesting a mix of promotional and celebratory posts.
Strengths
- + Established follower base of 82,796
- + 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 @NHMS reveals an growing Twitter presence with 82,796 followers. The account demonstrates a content-creator strategy, averaging 55.7 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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