Micah Shrewsberry
Head Coach - University of Notre Dame
16,185
Followers
712
Following
1,062
Tweets
876.4
Avg Engagement
61
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Coach_Shrews'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:2015-03-17
- Verification:Yes
- Location:Notre Dame, IN
Data Summary
- Tweets Analyzed:966
- Avg Likes per Tweet:67.6
- Avg Retweets per Tweet:808.7
- Followers Analyzed:15,664
Engagement Analysis
Based on 966 tweetsThe average engagement per tweet is relatively high, indicating a dedicated and active follower base interested in the coach's updates.
67.6
Avg Likes/Tweet
808.7
Avg Retweets/Tweet
65,342
Total Likes
781,225
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
9
Median Retweets
169
75th Percentile
414,921
Top Tweet
54.15
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
6.6%
Original
11.9%
Replies
49.5%
Retweets
32.0%
Quotes
0.0%
Threads
0.5%
With Media
85.9%
With Links
49.2%
With #Tags
84.8%
With @Mentions
59.3%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.8
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.8%
Weekday Posts
24.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 966 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 478 retweets (49% 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 966 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 15,664 followersThe audience appears to be a mix of fans, students, and fellow coaches, with a focus on sports and university-related content.
Good
Audience Quality
15.7%
Suspicion Index
19.0%
Low-Quality %
144
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.9%
Empty Bio
10.3%
<10 Tweets
15.5%
Mass Following (>2K)
0.0%
New (<90 days)
28.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.3%
No URL
6.1%
<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.
55,231,044
Total Potential Reach
144
Median Follower Reach
445
75th Percentile Reach
13.7%
>1K followers
2.1%
>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).
73.8%
Creators
11,554 accounts
16.0%
Consumers
2,504 accounts
10.3%
Dormant
1,606 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):
299
Verified Followers
1.91% of total
1,951
Protected Accounts
12.46% of total
9 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 | 14,106,759 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wojespn | 5,890,971 | Sports Journalist | NBA, Insider, Podcasting |
| @verified | 4,201,274 | - | - |
| @isaiahthomas | 1,874,387 | Basketball Player | Basketball, Fatherhood, All Star |
| @united | 1,174,341 | Airline | travel, aviation, customer service |
| @ZachLowe_NBA | 977,823 | Sports Journalist | NBA, Basketball, Analysis |
| @DickieV | 957,338 | Sportscaster | Basketball, Broadcasting, Philanthropy |
| @GovChristie | 840,568 | Politician | Politics, Family, News |
| @FCHWPO | 804,603 | Basketball Player | Basketball, Activism, Education |
| @MarcJSpears | 560,852 | Sports Journalist | NBA, Podcasting, LSU |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,662
Followers With Bio
5,002
Followers Without Bio
68.07%
% With Bio
31.93%
% 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 966 analyzed557,055
Combined Engagement
0
Total Likes
557,055
Total Retweets
111,411
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BarackObama: My statement on the death of George Floyd: https://t.co/Hg1k9JHT6R
RT @Nike: Let’s all be part of the change. #UntilWeAllWin https://t.co/guhAG48Wbp
RT @celtics: 1 RT = 2 votes @jaytatum0 #NBAAllStar https://t.co/iYXPqWvHOm
RT @celtics: 1 RT = 2 votes @FCHWPO #NBAAllStar https://t.co/MiwdqmLkUF
RT @karalawson20: The best compliment you can give/receive in sports.... https://t.co/RnJGawf6pQ
Key Insights & Takeaways
The coach frequently shares links to game-related content, suggesting a focus on team events and promotions. The use of hashtags like #WeAre indicates a strong connection to the university's community and identity. The presence of emojis and themed tweets suggests an effort to create a more engaging and relatable public persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 16,185
- + High community engagement through conversations
- + 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 @Coach_Shrews reveals an well-established Twitter presence with 16,185 followers. The account demonstrates a conversation-first approach, averaging 876.4 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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