BMC, The Marathon Man.

BMC, The Marathon Man.

@bryanmichaelcox

founder, illustrator new ideas + love zone party. svp, a&r, lvrn. co-founder, ladies love r&b. grammy winning creative and advocate.

Houston, TX https://sl.onerpm.com/2361047670?_ga=2.255785483.2074696370.1604424507-1323638718.1601790246 Joined 2010-03-13 Date of Analysis: Dez 16, 2025

66.063

Followers

4.885

Following

23.880

Tweets

429,1

Avg Engagement

635

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @bryanmichaelcox'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:2010-03-13
  • Verification:No
  • Location:Houston, TX

Data Summary

  • Tweets Analyzed:3.230
  • Avg Likes per Tweet:40,5
  • Avg Retweets per Tweet:388,6
  • Followers Analyzed:10.000

Engagement Analysis

Based on 3.230 tweets

Cox's tweets receive a high average number of likes and retweets, indicating strong audience interaction. His content often sparks discussion, especially when it comes to industry figures like Kanye West.

40,5

Avg Likes/Tweet

388,6

Avg Retweets/Tweet

130.704

Total Likes

1.255.145

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

1

Median Retweets

28

75th Percentile

531.416

Top Tweet

6,49

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

21,3%

Original

39,3%

Replies

9,4%

Retweets

30,0%

Quotes

0,0%

Threads

0,2%

With Media

44,6%

With Links

6,0%

With #Tags

63,9%

With @Mentions

26,9%

With Emojis

67

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1,84

Reply/Original Ratio

3,17

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70,2%

Weekday Posts

29,8%

Weekend Posts

Top Hashtags

#lovezone (16) #verzuz (10) #pressure (8) #themasteryseries (7) #tbt (6) #ifigetcaught (5) #1 (4) #likedishere (4) #mastery (4) #ladieslovernbatl (3)

Most Mentioned

@johntalsr (137) @bryanmichaelcox (135) @jermainedupri (122) @maurachanz (114) @dontworryboutb (99) @dvsn (83) @usher (62) @lowkeyuhtn (47) @_jackfreeman (35) @keefthabeef (30)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3.230 tweets

Content Type Distribution

Content Breakdown

Original Tweets 689 (21%)
Replies 1.268 (39%)
Retweets 305 (9%)
Quote Tweets 968 (30%)

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 305 retweets (9% 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 3.230 tweets

Engagement 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 followers

His followers are likely interested in music, art, and social advocacy. They engage with his content through likes and retweets, showing interest in both his creative work and opinions on the music industry.

Good

Audience Quality

19,0%

Suspicion Index

14,3%

Low-Quality %

180

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

21,6%

Empty Bio

11,9%

<10 Tweets

26,4%

Mass Following (>2K)

0,0%

New (<90 days)

35,9%

Low Ratio (<0.1)

0,0%

New (<180 days)

66,8%

No URL

7,0%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

213.083.665

Total Potential Reach

180

Median Follower Reach

662

75th Percentile Reach

18,6%

>1K followers

3,9%

>10K followers

1,6%

>50K followers

1,0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

74,0%

Creators

7.401 accounts

14,1%

Consumers

1.407 accounts

11,9%

Dormant

1.192 accounts

189

Verified Followers

1,89% of total

16,7%

Professional Bios

founder, dev, analyst, etc.

0,18

Median Follow Ratio

follower/following

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):

Atlanta, GA (278) Los Angeles, CA (179) United States (163) Houston, TX (115) Chicago, IL (87) Dallas, TX (73) New York, NY (71) Mumbai, India (51) New York, USA (49) Brooklyn, NY (46)

189

Verified Followers

1.89% of total

1.116

Protected Accounts

11.16% of total

8 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
@justinbieber 112.220.419 Singer Music, Justice, Album
@JohnCena 14.071.242 Wrestler Wrestling, Motivation, Self-promotion
@Spotify 10.808.666 Music streaming Music, Podcasts, Live audio
@MissyElliott 7.006.434 Musician GOD, AVANT GARDE, COOLOFF
@llcoolj 4.893.032 Rapper Music, Hip-hop, Entertainment
@21savage 4.781.281 Rapper Fashion, Music, Lifestyle
@MetroBoomin 4.227.888 Music Producer Music, Producer, Blessed
@russdiemon 2.160.713 Musician Music, Entrepreneurship, Motivation
@tonibraxton 1.809.607 Singer Music, R&B, Singer
@KameronBennett 1.809.537 DJ Music, DJing, Booking

Top Keywords in Follower Bios

music (865) love (485) life (390) artist (361) producer (354) ig (294) god (271) lover (211) songwriter (181) black (171)

Top Hashtags in Follower Bios

#blacklivesmatter (32) #blm (29) #music (21) #1 (17) #producer (13) #hiphop (13) #songwriter (11) #artist (10) #writer (9) #nft (8)

7.840

Followers With Bio

2.160

Followers Without Bio

78.4%

% With Bio

21.6%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3.230 analyzed

927.480

Combined Engagement

0

Total Likes

927.480

Total Retweets

185.496

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Music Industry Creativity Advocacy Illustration Social Media Engagement Personal Expression

Key Insights & Takeaways

Cox frequently shares content that highlights his creative work and personal projects, such as the Uncle Ray clip. He engages with industry figures and often shares opinions on the music business, showing his influence and insight. His tweets reflect a blend of advocacy, creativity, and a personal touch, which resonates with his audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 66.063
  • + 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 @bryanmichaelcox reveals an well-established Twitter presence with 66.063 followers. The account demonstrates a conversation-first approach, averaging 429,1 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dez 16, 2025