Rohan Marley
Father | Visionary | CEO | Farmer | #LionOrder | #MarleyCoffee |
164.489
Followers
4.959
Following
41.943
Tweets
282,3
Avg Engagement
762
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Romarley'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:2009-03-22
- Verification:No
- Location:56 Hope rd , Kingston Jamaica
Data Summary
- Tweets Analyzed:3.216
- Avg Likes per Tweet:68,2
- Avg Retweets per Tweet:214,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.216 tweetsHis tweets consistently receive high engagement, with an average of 1,662 likes and 355 retweets, indicating a loyal and active follower base.
68,2
Avg Likes/Tweet
214,1
Avg Retweets/Tweet
219.326
Total Likes
688.415
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
12
Median Retweets
158
75th Percentile
174.932
Top Tweet
1,72
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
33,9%
Original
0,5%
Replies
47,4%
Retweets
18,3%
Quotes
0,0%
Threads
0,5%
With Media
67,4%
With Links
42,5%
With #Tags
73,4%
With @Mentions
42,4%
With Emojis
116
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,01
Reply/Original Ratio
0,39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71,3%
Weekday Posts
28,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.216 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 1.523 retweets (47% 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 3.216 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 followersRomarley's audience appears to be interested in leadership, community, and cultural identity, with a focus on empowerment and spiritual values.
Average
Audience Quality
22,9%
Suspicion Index
20,3%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28,8%
Empty Bio
20,9%
<10 Tweets
20,1%
Mass Following (>2K)
0,0%
New (<90 days)
48,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
84,5%
No URL
11,9%
<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.
239.225.139
Total Potential Reach
65
Median Follower Reach
273
75th Percentile Reach
8,7%
>1K followers
1,2%
>10K followers
0,4%
>50K followers
0,3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56,2%
Creators
28.083 accounts
23,0%
Consumers
11.485 accounts
20,9%
Dormant
10.432 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):
536
Verified Followers
0.53% of total
10.249
Protected Accounts
10.15% 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 | 112.975.680 | Singer | Music, Justice, Album |
| @pitbull | 24.750.598 | Musician | Music, Education, Entrepreneurship |
| @Forbes | 18.922.401 | Media | entrepreneurship, business, money |
| @TheRock | 17.085.720 | Actor | Movies, Fitness, Wrestling |
| @JohnCena | 14.100.761 | Wrestler | Wrestling, Motivation, Self-promotion |
| @enews | 11.890.748 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @lalioficial | 7.190.972 | Singer | Music, Acting, Argentina |
| @CodySimpson | 6.661.736 | Singer | Music, Surfing, Environmentalism |
| @NeYoCompound | 6.375.925 | Singer | Music, Acting, Fatherhood |
| @sarkodie | 5.845.015 | Musician | Music, Booking, Africa |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66.432
Followers With Bio
34.562
Followers Without Bio
65.78%
% With Bio
34.22%
% 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 3.216 analyzed276.883
Combined Engagement
0
Total Likes
276.883
Total Retweets
55.377
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @RexChapman: “Everybody’s trying to shame us.” https://t.co/T1ISTiZpEe
RT @SportsCenter: Former NBA player Stephen Jackson delivers a powerful message to honor his longtime friend George Floyd. https://t.co/Oxv…
RT @JalenRose: #icantbreathe. https://t.co/RElIr7YQz3
RT @RexChapman: Economics, y’all. Get some. Teach your children well... https://t.co/6fW6tWmuog
RT @PatrickMahomes: Big time Prayers up man @dak !!!!
Key Insights & Takeaways
Romarley leverages his personal identity and roles to build a strong brand and community connection. His content often includes hashtags and references to cultural and spiritual symbols, which resonate with his audience. He frequently collaborates with other accounts, suggesting a strategic approach to expanding his reach and influence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 164.489
- + 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 @Romarley reveals an well-established Twitter presence with 164.489 followers. The account demonstrates a content-creator strategy, averaging 282,3 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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