ROSHON
ELEVATE | TRAVELER NO. 003 | ムｷ◊丂 | IG: @ROSHON TIKTOK: @ROSHON | #EVOSHIT “COPWORK” MIXTAPE OUT NOW ↓ 🖲
326,548
Followers
1,091
Following
17,539
Tweets
67.2
Avg Engagement
1,231
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ROSHON'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: Macro Influencer (100K+)
- Account Age:2009-03-27
- Verification:No
- Location:PLUTON
Data Summary
- Tweets Analyzed:3,073
- Avg Likes per Tweet:33.7
- Avg Retweets per Tweet:33.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,073 tweetsROSHON's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared, showing a loyal and active fan base.
33.7
Avg Likes/Tweet
33.5
Avg Retweets/Tweet
103,568
Total Likes
103,053
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
6
Median Retweets
61
75th Percentile
20,118
Top Tweet
0.21
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
52.8%
Original
17.8%
Replies
28.0%
Retweets
1.4%
Quotes
0.0%
Threads
0.7%
With Media
57.1%
With Links
29.3%
With #Tags
60.5%
With @Mentions
25.7%
With Emojis
68
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,073 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 861 retweets (28% 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 3,073 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 50,000 followersHis audience is primarily music enthusiasts and fans of his collaborators, such as Austin Mahone and Carter Reynolds. The audience is engaged and interested in new releases and collaborations.
Average
Audience Quality
21.3%
Suspicion Index
22.3%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.2%
Empty Bio
20.2%
<10 Tweets
11.9%
Mass Following (>2K)
0.0%
New (<90 days)
48.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.6%
No URL
10.4%
<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.
152,631,681
Total Potential Reach
55
Median Follower Reach
199
75th Percentile Reach
4.6%
>1K followers
0.8%
>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).
51.3%
Creators
25,659 accounts
28.4%
Consumers
14,223 accounts
20.2%
Dormant
10,118 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):
339
Verified Followers
0.34% of total
9,149
Protected Accounts
9.06% 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 |
|---|---|---|---|
| @ShawnMendes | 26,423,916 | Singer | music, performing, philanthropy |
| @JohnCena | 14,103,434 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Camila_Cabello | 13,044,125 | Singer | Music, Humanitarian, Fashion |
| @enews | 11,897,483 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @AustinMahone | 8,852,467 | Singer | music, fashion, travel |
| @JordinSparks | 3,509,925 | Singer | Music, Songwriting, Performing |
| @pitchfork | 3,201,230 | Music Critic | Music, Festivals, Events |
| @willylevy29 | 2,946,729 | Actor | NORMAL, NATURAL, ACELERADO |
| @DavidHenrie | 2,507,695 | Actor | husband, dad, content creator |
| @carterreynolds | 2,496,377 | Influencer | Instagram, Email, Contact |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,136
Followers With Bio
35,863
Followers Without Bio
64.49%
% With Bio
35.51%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,073 analyzed45,951
Combined Engagement
3,020
Total Likes
42,931
Total Retweets
9,190
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @gucci1017: Refocus
RT @AustinMahone: #ThisIsNotTheAlbumOutNOW https://t.co/UFCGd8v9Ke
RT @chrisbrown: It's great to humble yourself.... I fall off track often when I'm able to humble myself I can see everything a lot clearer.
Yall better get my boy @AustinMahone new single #DirtyWork !!! This thang is a summer banger for sure. http://t.co/4BbmtJLpbP
RT @autocorrects: nowadays http://t.co/7YaJlLEyvZ
Key Insights & Takeaways
ROSHON focuses heavily on promoting his music and collaborations, which drives engagement. He frequently mentions upcoming projects and new releases, keeping his audience informed and excited. His use of hashtags and links to social media platforms helps in increasing visibility and reach.
Strengths
- + Established follower base of 326,548
- + 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 @ROSHON reveals an growing Twitter presence with 326,548 followers. The account demonstrates a content-creator strategy, averaging 67.2 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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