Melvin Odoom
Agent: abbie@encantatalentmanagement.com 📥 -🎧 DJ Bookings Chloe - cr@insanity.com 📷 Insta: @melvinodoom / Radio 1 DJ 📻
80,995
Followers
7,436
Following
8,881
Tweets
788.0
Avg Engagement
173
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Melvinodoom'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:2009-02-25
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,096
- Avg Likes per Tweet:13.3
- Avg Retweets per Tweet:774.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,096 tweetsHis tweets typically receive a high number of likes and retweets, indicating a strong and active community around his content.
13.3
Avg Likes/Tweet
774.7
Avg Retweets/Tweet
41,099
Total Likes
2,398,578
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
13
75th Percentile
176,795
Top Tweet
9.73
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
25.0%
Original
41.8%
Replies
26.7%
Retweets
6.4%
Quotes
0.0%
Threads
0.5%
With Media
41.0%
With Links
29.9%
With #Tags
83.0%
With @Mentions
42.9%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.67
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,096 tweetsContent Type Distribution
Content Breakdown
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 828 retweets (27% 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 3,096 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 includes music fans, fellow DJs, and followers interested in entertainment news and social media interactions.
Average
Audience Quality
21.9%
Suspicion Index
24.1%
Low-Quality %
84
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
18.1%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
43.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.8%
No URL
11.3%
<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.
88,522,210
Total Potential Reach
84
Median Follower Reach
332
75th Percentile Reach
11.9%
>1K followers
3.4%
>10K followers
1.5%
>50K followers
1.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.8%
Creators
6,380 accounts
18.1%
Consumers
1,815 accounts
18.1%
Dormant
1,805 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):
91
Verified Followers
0.91% of total
1,373
Protected Accounts
13.73% 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 |
|---|---|---|---|
| @JohnCena | 14,097,945 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KSI | 8,837,752 | Musician | Music, Rap, Collaboration |
| @SpursOfficial | 8,678,158 | Sports Team | Football, Soccer, #COYS |
| @Naija_PR | 4,019,564 | News Aggregator | - |
| @BBCR1 | 2,996,803 | Radio Host | Music, Live Lounge, Radio |
| @Charlottegshore | 2,757,093 | Reality TV Star | Reality TV, Tattoos, Fashion |
| @RealDMitchell | 2,375,697 | Actor | comedy, acting, television |
| @gregjames | 1,576,053 | Radio Host | Radio, author, cricket |
| @LewisCapaldi | 1,497,160 | Musician | Music, Humor, Self-deprecation |
| @BreakingBad | 1,471,989 | TV Show | TV shows, crime, drama |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,311
Followers With Bio
3,689
Followers Without Bio
63.11%
% With Bio
36.89%
% 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 3,096 analyzed816,079
Combined Engagement
0
Total Likes
816,079
Total Retweets
163,216
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @MarvelStudios: "I’m done running from my past." Watch the new teaser trailer for Marvel Studios’ #BlackWidow. In theaters May 1, 2020. https://t.co/Q1BxUz63Dk
RT @DatDamnShorty: how ima be eating when the restaurants open back up. 😌 https://t.co/tUVt5qYVun
RT @cheembeam: The way I screamed after watching the end of this video! 😩😩😩😂 https://t.co/gTmu58sezO
RT @DamnDRoseTweets: Y’all still pull your luggage? 🤔🤭 amateurs. #lifehacks https://t.co/RtcG1zQUlh
RT @nbcsnl: 𝗙𝗹𝗶𝗽𝗽𝗲𝗱 𝘁𝗵𝗲 𝘀𝘄𝗶𝘁𝗰𝗵. https://t.co/t8qHcGRUhY
Key Insights & Takeaways
He frequently engages with fans and other influencers, often through humorous and personal tweets. He uses his platform to voice opinions on public figures and social issues. His content is a mix of entertainment, humor, and personal expression.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 80,995
- + 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 @Melvinodoom reveals an well-established Twitter presence with 80,995 followers. The account demonstrates a conversation-first approach, averaging 788.0 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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