Michigan International Speedway
Official Twitter feed of Michigan International Speedway | 888-905-7223 #CaboWabo250 | #FireKeepersCasino400
74,740
Followers
4,504
Following
31,720
Tweets
89.5
Avg Engagement
1,079
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MISpeedway'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:2008-12-03
- Verification:Yes
- Location:Brooklyn, MI
Data Summary
- Tweets Analyzed:3,223
- Avg Likes per Tweet:22.4
- Avg Retweets per Tweet:67.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,223 tweetsThe account maintains a steady average of likes and retweets, indicating consistent engagement with its content. It uses links and hashtags to drive interaction and promote events effectively.
22.4
Avg Likes/Tweet
67.1
Avg Retweets/Tweet
72,174
Total Likes
216,273
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
3
Median Retweets
39
75th Percentile
38,038
Top Tweet
1.2
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
56.3%
Original
9.5%
Replies
28.1%
Retweets
6.1%
Quotes
0.0%
Threads
1.1%
With Media
88.3%
With Links
43.7%
With #Tags
63.2%
With @Mentions
40.3%
With Emojis
130
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.5%
Weekday Posts
36.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,223 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 907 retweets (28% 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 3,223 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 9,998 followersThe primary audience consists of motorsports enthusiasts, fans of NASCAR events, and potential attendees of races at Michigan International Speedway. The audience is likely interested in race updates, event promotions, and behind-the-scenes content.
Average
Audience Quality
25.6%
Suspicion Index
28.0%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
22.3%
<10 Tweets
14.3%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
14.2%
<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.
20,203,158
Total Potential Reach
45
Median Follower Reach
139
75th Percentile Reach
4.0%
>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).
56.9%
Creators
5,690 accounts
20.8%
Consumers
2,076 accounts
22.3%
Dormant
2,232 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):
89
Verified Followers
0.89% of total
924
Protected Accounts
9.24% 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 | 14,096,802 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 800,449 | Activism | equality, bullying, discrimination |
| @MountainDew | 777,865 | Beverage Brand | Gaming, Energy, Exclusive drops |
| @MSU_Football | 474,579 | Athletics | Football, Michigan State, #GoGreen |
| @Ronald_vanLoon | 310,738 | Data Scientist | AI, Big Data, IoT |
| @conquerer1 | 235,757 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @BernardMarr | 138,152 | Futurist | Business, Tech, Data |
| @HollywoodJeff | 132,649 | Sports Analyst | GOD, Family, Western Lifestyle |
| @12WillPower | 122,897 | - | - |
| @GBEnglandGB | 115,766 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,819
Followers With Bio
4,181
Followers Without Bio
58.19%
% With Bio
41.81%
% 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 3,223 analyzed120,989
Combined Engagement
0
Total Likes
120,989
Total Retweets
24,198
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
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: https://t.co/euuHYxPHxj
RT @NASCAR: https://t.co/gJkIfVf3Ba
RT @roushfenway: Ryan Newman has been treated and released from Halifax Medical Center https://t.co/J0twhGgQm7
RT @roushfenway: Ryan Newman Continues Great Improvement https://t.co/xIZRiaRApi
Key Insights & Takeaways
The account emphasizes fan interaction and event promotion through engaging content and hashtags. It shares behind-the-scenes moments and highlights, such as Victory Lane interviews, to build connection with followers. The use of links suggests a focus on driving traffic to event pages or promotional materials.
Strengths
- + Established follower base of 74,740
- + 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 @MISpeedway reveals an growing Twitter presence with 74,740 followers. The account demonstrates a content-creator strategy, averaging 89.5 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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