Roody Roodboy
ambassadeur de Comme il Faut ,Joker Electronic , Loto Lakay Paryaj lakay , Orange Moto , Hainet , GBME
781,961
Followers
472
Following
16,869
Tweets
239.3
Avg Engagement
86
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @roodyroodboy'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:2013-02-15
- Verification:No
- Location:haiti
Data Summary
- Tweets Analyzed:3,218
- Avg Likes per Tweet:218.4
- Avg Retweets per Tweet:20.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,218 tweetsHis tweets receive an average of 3,301 likes and 447 retweets, indicating a highly engaged audience that responds well to personal and brand-related content.
218.4
Avg Likes/Tweet
20.9
Avg Retweets/Tweet
702,856
Total Likes
67,114
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
5
Median Retweets
304
75th Percentile
19,769
Top Tweet
0.31
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
43.2%
Original
18.9%
Replies
35.1%
Retweets
2.9%
Quotes
0.0%
Threads
0.1%
With Media
41.1%
With Links
11.8%
With #Tags
61.4%
With @Mentions
45.2%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.44
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,218 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 1,128 retweets (35% 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 3,218 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 likely includes fans of his content, brand enthusiasts, and individuals interested in motivational messages and lifestyle topics.
Below Average
Audience Quality
45.7%
Suspicion Index
73.3%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
83.1%
Empty Bio
83.7%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
74.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.1%
No URL
63.5%
<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.
2,078,626
Total Potential Reach
2
Median Follower Reach
7
75th Percentile Reach
0.4%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
3.3%
Creators
1,656 accounts
13.0%
Consumers
6,476 accounts
83.7%
Dormant
41,868 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):
48
Verified Followers
0.05% of total
2,730
Protected Accounts
2.73% of total
1 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 |
|---|---|---|---|
| @lucasvelascook | 245,300 | Actor | Movies, Acting, Entertainment |
| @CryptoChief100x | 134,288 | - | - |
| @tomphillipsin | 115,688 | Journalist | Brazil, China, Mexico |
| @RoiLopezRivas | 112,052 | Geologist | Gobierno, URSS, Chavista |
| @Noon_Group | 101,727 | Event Planner | events, sound equipment, decorations |
| @edwardmbt | 92,815 | Supply Chain | Supply Chain, Manufacturing, Sourcing |
| @Veronicasvip1 | 87,854 | Influencer | Fashion, Beauty, Lifestyle |
| @FacesOfHaiti_ | 82,643 | Editor | Tourism, Culture, Lifestyle |
| @safety_promo | 70,906 | Safety Promoter | - |
| @ogunation | 66,815 | Gamer | Gaming, Esports, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,408
Followers With Bio
74,592
Followers Without Bio
25.41%
% With Bio
74.59%
% 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 3,218 analyzed38,563
Combined Engagement
17,676
Total Likes
20,887
Total Retweets
7,713
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @10Ronaldinho: Calma que agora é nossa hora... Pra cima Brasil!!! 🇧🇷🏆 https://t.co/OA7YZ0KW1U
Bonswa tout moun . Map aprann nou ke mwen anfôm gras a Dye Mwen vle remesye nou tout ki te panse avem epi pote sipo nan lapriyè avem chak jou . Mwen anvi pale avè nou mgen anpil poum di nou . Demen 6 pm map live avè nou sou plizyè platfôm poum pataje avè nou eksperyans sa #corona
Wap abandone oubyen wap reziste ? https://t.co/LIV9Z2oj3N
Dauphin ❤️✈️ https://t.co/8aRr4o6F9L
4 ans 😇🎉. I love u Rood https://t.co/HMoPXv1QWm
Key Insights & Takeaways
He leverages brand partnerships to expand his reach and influence. His content often includes personal reflections and emotional appeals to connect with followers. He uses a mix of brand promotion and motivational messaging to maintain audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 781,961
- + 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 @roodyroodboy reveals an well-established Twitter presence with 781,961 followers. The account demonstrates a content-creator strategy, averaging 239.3 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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