Matt Miller
Boise State University WR’s - Bleed Blue!
13,455
Followers
1,817
Following
2,152
Tweets
29.3
Avg Engagement
35
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @2mattmiller'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:2014-02-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,986
- Avg Likes per Tweet:4.1
- Avg Retweets per Tweet:25.2
- Followers Analyzed:12,643
Engagement Analysis
Based on 1,986 tweetsHis tweets receive moderate engagement with an average of 253 likes and 40 retweets, indicating a loyal but not highly interactive audience.
4.1
Avg Likes/Tweet
25.2
Avg Retweets/Tweet
8,077
Total Likes
50,033
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
15
Median Retweets
35
75th Percentile
1,372
Top Tweet
2.17
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
5.4%
Original
2.5%
Replies
88.9%
Retweets
3.2%
Quotes
0.0%
Threads
0.3%
With Media
89.2%
With Links
79.3%
With #Tags
94.4%
With @Mentions
24.9%
With Emojis
132
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.0%
Weekday Posts
19.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,986 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 1,765 retweets (89% 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 1,986 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 12,643 followersHis followers are likely fans of Boise State University and football, showing interest in team culture and personal stories.
Good
Audience Quality
13.8%
Suspicion Index
9.0%
Low-Quality %
298
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
15.3%
Empty Bio
6.1%
<10 Tweets
29.0%
Mass Following (>2K)
0.0%
New (<90 days)
16.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
54.0%
No URL
2.8%
<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.
35,361,836
Total Potential Reach
298
Median Follower Reach
645
75th Percentile Reach
15.8%
>1K followers
1.7%
>10K followers
0.3%
>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).
72.9%
Creators
9,218 accounts
21.0%
Consumers
2,655 accounts
6.1%
Dormant
770 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):
120
Verified Followers
0.95% of total
511
Protected Accounts
4.04% of total
6 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 | 14,106,698 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,465 | - | - |
| @6BillionPeople | 2,038,812 | - | - |
| @jstorres | 401,181 | Banker | Author, Soccer, Blockchain |
| @BruceFeldmanCFB | 370,504 | Reporter | College Football, Sports Reporting, Writing |
| @TankLawrence | 362,584 | Football Player | Dallas Cowboys, Family, Business |
| @Brett_McMurphy | 269,602 | Sports Journalist | College Football, Sports Betting, Journalism |
| @PeteThamel | 238,026 | Sports Journalist | College football, basketball, podcast |
| @ncsa | 220,631 | Recruiting | College recruiting, Future, Sports |
| @ChauncySmartt | 200,094 | Musician | Music, Nightmares, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,713
Followers With Bio
1,930
Followers Without Bio
84.73%
% With Bio
15.27%
% 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 1,986 analyzed3,357
Combined Engagement
925
Total Likes
2,432
Total Retweets
671
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @CFBONFOX: These are the only teams with winning records against ranked opponents in the last 10 years 👏👏 https://t.co/himFUgV1PA
Sarah and I are excited to stay HOME and be apart of this special place with an ELITE crew of people! #BleedBlue https://t.co/QhkNN0jIN6
RT @JonGordon11: Culture is like a tree. It takes years to cultivate and grow and yet it can be chopped down in a minute. Protect your culture.
RT @Conrad_Wilson: Hard Knocks Montana State. August 9th squirrel chronicles via snapchat. 🐿 https://t.co/WDG5341HY1
Boise, Boise State and this Brotherhood are just different! Extremely fortunate to be apart of this amazing Community, University and Program with so many Elite people!#BleedBlue https://t.co/V3y32z6fnI
Key Insights & Takeaways
He emphasizes loyalty and pride in his university and team, which resonates with his audience. His content often highlights personal experiences and emotional connections to his community. He occasionally reflects on his journey, showing a mix of gratitude and nostalgia.
Strengths
- + Established follower base of 13,455
- + 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 @2mattmiller reveals an growing Twitter presence with 13,455 followers. The account demonstrates a content-creator strategy, averaging 29.3 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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