BECAUSE OF MONEY OUT NOW
[email protected] +233262455123
540,890
Followers
2,021
Following
17,302
Tweets
199.7
Avg Engagement
120
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bisa_kdei'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:2012-10-05
- Verification:No
- Location:Ghana
Data Summary
- Tweets Analyzed:3,122
- Avg Likes per Tweet:165.1
- Avg Retweets per Tweet:34.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,122 tweetsBisa_kdei's tweets receive an average of 8,669 likes and 1,133 retweets, showing strong audience interaction. Their content is well-received, with a focus on promoting new music and collaborations.
165.1
Avg Likes/Tweet
34.7
Avg Retweets/Tweet
515,377
Total Likes
108,184
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
73
75th Percentile
30,686
Top Tweet
0.37
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
20.3%
Original
10.3%
Replies
51.2%
Retweets
18.1%
Quotes
0.0%
Threads
0.6%
With Media
54.7%
With Links
33.0%
With #Tags
64.8%
With @Mentions
39.1%
With Emojis
81
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,122 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 1,600 retweets (51% 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 3,122 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 primarily consists of music enthusiasts and fans of Ghanaian music, with a global reach given the large follower count. They are likely interested in new music releases and behind-the-scenes content.
Below Average
Audience Quality
35.5%
Suspicion Index
42.9%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.4%
Empty Bio
58.8%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
72.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.7%
No URL
36.4%
<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.
17,139,974
Total Potential Reach
11
Median Follower Reach
40
75th Percentile Reach
1.2%
>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).
12.9%
Creators
6,453 accounts
28.3%
Consumers
14,133 accounts
58.8%
Dormant
29,414 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
3,443
Protected Accounts
3.44% of total
2 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 |
|---|---|---|---|
| @Vevo | 3,975,663 | Entertainment | Music, Videos, Entertainment |
| @shattawalegh | 3,337,483 | Musician | Music, Dancehall, Africa |
| @Memphis | 2,594,329 | Footballer | Football, Fashion, Music |
| @manifestive | 2,051,823 | Rapper | Music, Madina, Universe |
| @StrongmanBurner | 953,253 | Rapper | Music, Poetry, Performance |
| @y1025fm | 363,514 | Radio Host | Music, Entertainment, Youth |
| @KimMangone | 251,877 | Engineer | Single Mom, USAF Vet, Engineer |
| @the_marcoli_boy | 222,241 | - | - |
| @Fameye | 212,864 | Musician | Music, God, Email |
| @AnikaNoniRose | 134,260 | Actress | Acting, Singing, Disney |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,200
Followers With Bio
41,800
Followers Without Bio
58.2%
% With Bio
41.8%
% 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 3,122 analyzed77,947
Combined Engagement
41,467
Total Likes
36,480
Total Retweets
15,589
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @EFYA_Nokturnal: #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #EndSARS #E…
Track list. #ORIGINALALBUM. 20TH JAN. Presave https://t.co/GhkGe1890d https://t.co/9znojTwtud
Original man https://t.co/8uQXeIjOk5
Happy to be a part of this Big Hollywood Christmas Project (Jingle Jange) with the legends @usher @johnlegend. Big win with @princesskofficial . Big shouts to @lynsissontalbert @davidetalbert. Jingle Jangle is out on Netflix 🇬🇭🇬🇭🇬🇭🇬🇭worldwide https://t.co/YtBYqYYpJ4
I produced AzontoGhost and ayi beat the same day. Greatness 🔥
Key Insights & Takeaways
Bisa_kdei is heavily involved in music production and promotion Their content is centered around original tracks and collaborations They leverage Twitter to engage fans and build anticipation for new releases
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 540,890
- + 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 @bisa_kdei reveals an well-established Twitter presence with 540,890 followers. The account demonstrates a content-creator strategy, averaging 199.7 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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