ORIGINAL VERSION
ll HOPE LACED WITH PAIN, RIP ALUTA || Bookings: [email protected]
117,445
Followers
791
Following
8,397
Tweets
53.2
Avg Engagement
20
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ov_music_'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:2017-11-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:16.2
- Avg Retweets per Tweet:37.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,234 tweetsThe account maintains a high level of engagement with an average of 1,935 likes and 158 retweets per tweet, indicating a loyal and active fan base.
16.2
Avg Likes/Tweet
37.0
Avg Retweets/Tweet
52,367
Total Likes
119,627
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
21
75th Percentile
8,305
Top Tweet
0.45
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
22.5%
Original
19.6%
Replies
47.8%
Retweets
10.1%
Quotes
0.0%
Threads
0.3%
With Media
63.9%
With Links
16.2%
With #Tags
73.4%
With @Mentions
49.5%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.87
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.5%
Weekday Posts
20.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 1,545 retweets (48% 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 3,234 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 followersThe audience appears to be fans of emotional and intense music, likely aged 18-35, interested in live performances and meaningful content.
Average
Audience Quality
29.1%
Suspicion Index
29.8%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.9%
Empty Bio
44.6%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
60.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
26.8%
<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.
16,093,971
Total Potential Reach
24
Median Follower Reach
102
75th Percentile Reach
4.8%
>1K followers
0.7%
>10K followers
0.3%
>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).
26.6%
Creators
2,664 accounts
28.8%
Consumers
2,876 accounts
44.6%
Dormant
4,460 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):
21
Verified Followers
0.21% of total
372
Protected Accounts
3.72% 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 |
|---|---|---|---|
| @erigganewmoney | 2,588,519 | Rapper | Music, Album, September |
| @yvonnenelsongh | 1,801,053 | Actress | LOVE |
| @IamDrSID | 1,288,785 | Entertainer | Entertainment, Gaming, Esports |
| @funnyfacegh | 1,281,693 | Comedian | comedy, entertainment, social media |
| @deborahvanessa7 | 1,272,959 | Musician | Music, Fashion, Africa |
| @Y1079FM | 717,059 | Radio Host | Music, Entertainment, Youth |
| @KafuiDey | 540,011 | TV Host | Mental Health, Moderator, TV Host |
| @BrymOlawale | 504,696 | - | - |
| @AsieduMends | 386,534 | Influencer | Fashion, Influencing, Happiness |
| @NEBASARK | 372,796 | Influencer | Sarkodie, ManchesterUnited, A1Influencers |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,709
Followers With Bio
3,291
Followers Without Bio
67.09%
% With Bio
32.91%
% 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 3,234 analyzed31,404
Combined Engagement
7,823
Total Likes
23,581
Total Retweets
6,281
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @blacksherif_: NUMBER 1 in NAIJJJ! LOVE YOU SO MUCH CHALE❤️. KEEP STREAMING #KTT https://t.co/kNlfGVZdjL https://t.co/wLOr2Ha7xC
With love , ORIGINAL 🕊 https://t.co/yMmDLqeScJ
RT @bobmarley: New version of “Stir It Up” coming FRIDAY ft. Ghanaian 🇬🇭 artist @Sarkodie! 📻 pre-save: https://t.co/ny1D3uTUHA From #Sarkodie: “One of the highest moments in my career/Life... such a blessing to lay my vocals right next to the original vocals of the legend.” 🎨
RT @sarkodie: https://t.co/fJskMeLz0L
RT @StephenAppiah: ODEESHI 🇬🇭 https://t.co/n1rMDjMQ2C
Key Insights & Takeaways
The account frequently shares original and emotional content, which resonates strongly with followers. Promotional tweets for events and collaborations are common, suggesting a focus on live performances and brand partnerships. The use of emojis and hashtags indicates an effort to create a more personal and expressive connection with the audience.
Strengths
- + Established follower base of 117,445
- + 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 @ov_music_ reveals an growing Twitter presence with 117,445 followers. The account demonstrates a content-creator strategy, averaging 53.2 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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