Skopo
SpeakNVrostaan 👉🏾 https://kwesta-kabza.lnk.to/SNVDC [email protected] [email protected]
1,536,969
Followers
8,618
Following
133,343
Tweets
287.6
Avg Engagement
435
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KwestaDaKAR'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: Mega Influencer (1M+)
- Account Age:2010-02-19
- Verification:No
- Location:K1
Data Summary
- Tweets Analyzed:2,938
- Avg Likes per Tweet:189.1
- Avg Retweets per Tweet:98.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,938 tweetsKwestaDaKAR's tweets receive high engagement, with an average of 15,000 likes and 2,600 retweets per post. Their content is well-received and widely shared within their fanbase.
189.1
Avg Likes/Tweet
98.5
Avg Retweets/Tweet
555,718
Total Likes
289,390
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
90
75th Percentile
47,905
Top Tweet
0.19
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
15.4%
Original
2.2%
Replies
66.8%
Retweets
15.6%
Quotes
0.0%
Threads
0.0%
With Media
57.5%
With Links
51.6%
With #Tags
75.6%
With @Mentions
47.6%
With Emojis
96
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.6%
Weekday Posts
11.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,938 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 1,962 retweets (67% 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 2,938 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 fans and followers interested in South African music and KwestaDaKAR's career. They are engaged and interested in updates about the artist's projects and personal life.
Below Average
Audience Quality
36.4%
Suspicion Index
52.8%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.1%
Empty Bio
63.3%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
63.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
46.5%
<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.
9,652,989
Total Potential Reach
11
Median Follower Reach
49
75th Percentile Reach
2.3%
>1K followers
0.2%
>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).
14.6%
Creators
7,300 accounts
22.1%
Consumers
11,028 accounts
63.3%
Dormant
31,672 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):
51
Verified Followers
0.05% of total
6,517
Protected Accounts
6.52% 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 |
|---|---|---|---|
| @ChrisExcel102 | 1,644,234 | Influencer | Savage, AssHole, King |
| @PabiMoloi | 863,570 | TV Host | TV, Radio, Voice Artist |
| @BontleModiselle | 601,571 | Choreographer | Dance, Performance, Broadcasting |
| @263Chat | 576,708 | Media Organization | Zimbabwe, Media, National dialogue |
| @willieeng | 573,943 | Accountant | - |
| @Solphendukaa | 548,127 | Musician | music, bookings, contact |
| @peterndoro | 357,850 | Journalist | Journalism, Broadcasting, Africa |
| @billdoregold | 353,352 | - | - |
| @CarsSouthAfrica | 278,317 | Automotive | Dream, Search, Drive |
| @MashBeatz_ | 266,815 | Music Producer | Music, Production, Creativity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,758
Followers With Bio
49,242
Followers Without Bio
50.76%
% With Bio
49.24%
% 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 2,938 analyzed173,711
Combined Engagement
69,081
Total Likes
104,630
Total Retweets
34,742
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @MissUniverse: The new #MissUniverse2019 is... SOUTH AFRICA!!!! 🇿🇦 https://t.co/gRW8vcuT3A
🤫 https://t.co/nTq62kVIjB
May our kids have rich parents..
RT @KimKardashian: 5 years ago I married my best friend ✨ https://t.co/wt4N5Ow8qH
RT @wizkidayo: I’ve seen so many insensitive and dumb stupid comments from You celebrities and I’m so disappointed! This is not a time to f…
Key Insights & Takeaways
KwestaDaKAR is deeply involved in the music industry and their career achievements are a major focus of their tweets. They maintain a personal and authentic tone, which resonates with their audience. Their content often includes references to their music projects and personal milestones, indicating a strong connection to their fanbase.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,536,969
- + 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 @KwestaDaKAR reveals an well-established Twitter presence with 1,536,969 followers. The account demonstrates a content-creator strategy, averaging 287.6 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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