JONZING BOY 🌍
815,703
Followers
9,480
Following
28,781
Tweets
27.2
Avg Engagement
744
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DPRINCEMAVIN'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:2009-06-30
- Verification:No
- Location:W O R L D W I D E
Data Summary
- Tweets Analyzed:3,060
- Avg Likes per Tweet:9.4
- Avg Retweets per Tweet:17.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,060 tweetsThe account maintains a steady engagement rate with an average of 520 likes and 131 retweets per tweet.
9.4
Avg Likes/Tweet
17.7
Avg Retweets/Tweet
28,913
Total Likes
54,309
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
12
75th Percentile
10,494
Top Tweet
0.03
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
34.4%
Original
2.9%
Replies
49.7%
Retweets
12.9%
Quotes
0.0%
Threads
1.3%
With Media
54.0%
With Links
53.4%
With #Tags
60.8%
With @Mentions
45.3%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.9%
Weekday Posts
20.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,060 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 1,522 retweets (50% 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 3,060 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 followersThe audience appears to be fans of music, particularly hip-hop and related genres, as well as event attendees and collaborators.
Average
Audience Quality
24.8%
Suspicion Index
21.3%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.0%
Empty Bio
33.3%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
61.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
17.7%
<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.
14,015,904
Total Potential Reach
22
Median Follower Reach
87
75th Percentile Reach
2.9%
>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).
32.3%
Creators
16,127 accounts
34.5%
Consumers
17,230 accounts
33.3%
Dormant
16,643 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):
78
Verified Followers
0.08% of total
3,365
Protected Accounts
3.33% of total
3 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 |
|---|---|---|---|
| @aproko_doctor | 2,124,068 | Doctor | Health, Education, Entertainment |
| @ayrastarr | 955,170 | Astrologer | Spirituality, Celestial, Stars |
| @danielmarven | 898,277 | Entrepreneur | Entrepreneur, Activist, Artist |
| @Jessejagz | 737,696 | Musician | Music, JAGZNATION, Contact Info |
| @noelitoflow | 473,087 | Inspirational Speaker | God, Jesus, Purpose |
| @NOTJUSTOK | 353,172 | Entertainment | African artists, entertainment, culture |
| @Welly_Marshall | 310,134 | Poet | Poetry, Writing, Literature |
| @1gwilo | 233,937 | - | - |
| @Kabomo | 203,417 | Multitalented | Music, Writing, Filmmaking |
| @SirLeoBDasilva | 169,878 | Private Equity | Private Equity, Duke of Surulere, Arsenal |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,544
Followers With Bio
25,454
Followers Without Bio
74.8%
% With Bio
25.2%
% 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 3,060 analyzed28,654
Combined Engagement
0
Total Likes
28,654
Total Retweets
5,731
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @JoelOsteen: God never asks you to give something up without giving you something better in return.
RT @rugerofficial: I WAN ASK YOU ONE QUESTION WHERE YOU DEY WHEN I DEY HEAR STARBOY WIZZY 🙏🏾 https://t.co/4NgFgsKaT5
RT @heisrema: Man United for life 🤞🏾👹
RT @djsnake: Dj Snake "Encore" (Official Album Tracklist) Out on August 5th. https://t.co/TXHLVG3H6A
RT @UEFAEURO: The teams are in! William Carvalho and Pepe are back for #POR, while #FRA are unchanged. #PORFRA #EURO2016 https://t.co/DCuF7…
Key Insights & Takeaways
The user frequently collaborates with artists and brands, highlighting partnerships and events. They emphasize community support and celebration, often mentioning events and fan interactions. The content is highly visual and includes links to music releases and social media posts.
Strengths
- + Established follower base of 815,703
- + 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 @DPRINCEMAVIN reveals an growing Twitter presence with 815,703 followers. The account demonstrates a content-creator strategy, averaging 27.2 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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