12,180
Followers
403
Following
832
Tweets
926.4
Avg Engagement
73
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Trilllroman'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:2017-05-22
- Verification:No
- Location:Ann Arbor, MI
Data Summary
- Tweets Analyzed:785
- Avg Likes per Tweet:73.4
- Avg Retweets per Tweet:853.1
- Followers Analyzed:11,329
Engagement Analysis
Based on 785 tweetsThe account maintains high engagement, suggesting a loyal and active follower base that interacts regularly with the content.
73.4
Avg Likes/Tweet
853.1
Avg Retweets/Tweet
57,580
Total Likes
669,657
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
31
75th Percentile
116,542
Top Tweet
76.06
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
9.9%
Original
10.6%
Replies
63.7%
Retweets
15.8%
Quotes
0.0%
Threads
0.1%
With Media
80.6%
With Links
27.9%
With #Tags
77.1%
With @Mentions
42.8%
With Emojis
98
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.06
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.4%
Weekday Posts
34.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 785 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 500 retweets (64% 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 785 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 11,329 followersThe audience appears to be interested in motivational messages and lifestyle content, likely younger adults seeking inspiration and community.
Average
Audience Quality
20.1%
Suspicion Index
24.4%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.7%
Empty Bio
15.1%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
43.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
9.0%
<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.
33,109,374
Total Potential Reach
66
Median Follower Reach
245
75th Percentile Reach
7.4%
>1K followers
1.6%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
66.0%
Creators
7,476 accounts
18.9%
Consumers
2,142 accounts
15.1%
Dormant
1,711 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):
104
Verified Followers
0.92% of total
1,178
Protected Accounts
10.4% of total
7 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 | 14,106,784 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,206 | - | - |
| @CoachJim4UM | 1,944,865 | Football Coach | Football, Coaching, University |
| @UMichFootball | 966,344 | Football | Football, Championships, Tradition |
| @CoachSchuman | 589,457 | Football Coach | Football, Recruiting, Motivation |
| @CFBONFOX | 453,556 | Sports Media | College Football, FOX Sports, App |
| @Moreno | 429,897 | Influencer | Business, Manager, Serious |
| @RTNBA | 340,839 | Sports Analyst | news, rumors, analysis |
| @Schultz_Report | 243,298 | Sports Analyst | Sports, Analysis, Podcasts |
| @OfficialBraylon | 228,186 | Sports Analyst | Sports, WoodwardSports, App |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,827
Followers With Bio
4,502
Followers Without Bio
60.26%
% With Bio
39.74%
% 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 785 analyzed354,244
Combined Engagement
0
Total Likes
354,244
Total Retweets
70,849
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @cmridgely: He fucking got me.. https://t.co/vV3JoeoaRM
RT @gucci1017: If you don't let go of the wrong people, you'll never meet the right people.
RT @espn: This athlete with cerebral palsy just deadlifted 200 pounds ... and he only weighs 99 💪 https://t.co/KBRkXRNUG7
RT @WavyDowneyJr: IM FUCKING DYING 😂😂😂 https://t.co/u9MadrF3wI
RT @DezBryant: Cowboy nation I need you to know this wasn’t my decision.. I will always love y’all... forever Dallas in my heart
Key Insights & Takeaways
The user frequently shares motivational quotes and affirmations, indicating a focus on positivity and encouragement. The content often includes emojis and links, suggesting a casual and approachable tone. The user's top tweets highlight personal commitment and faith, which may resonate with a specific audience segment.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,180
- + 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 @Trilllroman reveals an well-established Twitter presence with 12,180 followers. The account demonstrates a conversation-first approach, averaging 926.4 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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