89,117
Followers
2,486
Following
11,239
Tweets
404.0
Avg Engagement
136
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MilesBrown'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:2009-09-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,185
- Avg Likes per Tweet:149.9
- Avg Retweets per Tweet:254.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,185 tweetsHis tweets receive high engagement, with an average of 14,514 likes and 4,448 retweets per post.
149.9
Avg Likes/Tweet
254.1
Avg Retweets/Tweet
477,567
Total Likes
809,178
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
3
Median Retweets
122
75th Percentile
152,928
Top Tweet
4.53
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
43.9%
Original
26.7%
Replies
12.5%
Retweets
17.0%
Quotes
0.0%
Threads
0.4%
With Media
70.7%
With Links
50.3%
With #Tags
76.0%
With @Mentions
38.4%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.61
Reply/Original Ratio
1.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,185 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 397 retweets (12% 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 3,185 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 followersHis audience appears to be young and interested in pop culture, memes, and trending topics.
Average
Audience Quality
33.1%
Suspicion Index
40.1%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.2%
Empty Bio
52.4%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
69.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
38.0%
<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.
6,490,554
Total Potential Reach
9
Median Follower Reach
47
75th Percentile Reach
2.4%
>1K followers
0.3%
>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).
26.3%
Creators
2,628 accounts
21.3%
Consumers
2,133 accounts
52.4%
Dormant
5,239 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):
27
Verified Followers
0.27% of total
1,092
Protected Accounts
10.92% of total
2 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 |
|---|---|---|---|
| @PearlThusi | 3,488,761 | Actress | Actress, Netflix, Africa |
| @uninterrupted | 474,716 | Athlete Empowerment | Athlete empowerment, Brand founders, MoreThanAnAthlete |
| @GarcelleB | 324,596 | Actress | Mommy, Actress, Fashion |
| @JoeKnowsYT | 247,378 | YouTuber | YouTube, Knowledge, Vlogs |
| @tamalajones | 187,812 | Actress | Actress, Comedy, Drama |
| @MONSTATREZZ | 165,831 | Basketball Player | Basketball, Family, Fashion |
| @richfocus_ | 79,590 | - | - |
| @MegaRan | 74,275 | Rapper | music, teaching, streaming |
| @basketbllnews | 51,364 | Sports Journalist | Basketball, News, Coverage |
| @WahidHansen | 37,146 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,777
Followers With Bio
4,223
Followers Without Bio
57.77%
% With Bio
42.23%
% 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 3,185 analyzed501,577
Combined Engagement
60,577
Total Likes
441,000
Total Retweets
100,315
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @BarackObama: I knew it way back then and I’m absolutely convinced of it today — you’re one of a kind, @MichelleObama. Happy Birthday! https://t.co/ejqm0uC9J4
RT @Lakers: https://t.co/xC6TfbWzqp
RT @kobebryant: Welcome to the family @KingJames #lakers4life #striveforgreatness @JeanieBuss @MagicJohnson and RP well done!!! 🙌🏾
🕷️ https://t.co/Q4i9So96rt
RT @BarackObama: Michelle and I are heartbroken for everybody who’s lost so much in California, and grateful for the heroism of the firefighters who’ve been risking their lives around the clock to save others. Please do what you can to help our fellow Americans in need: https://t
Key Insights & Takeaways
He leverages trending topics and memes to connect with his audience His personal and candid posts resonate well with followers He uses humor and relatability to maintain engagement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,117
- + 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 @MilesBrown reveals an well-established Twitter presence with 89,117 followers. The account demonstrates a content-creator strategy, averaging 404.0 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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