75,481
Followers
158
Following
2,014
Tweets
15.1
Avg Engagement
10
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mbeko_masiye'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:2021-07-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,840
- Avg Likes per Tweet:9.0
- Avg Retweets per Tweet:6.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,840 tweetsHis tweets typically receive around 338 likes and 59 retweets on average, indicating a moderate level of engagement. The content is likely relatable and shareable, contributing to consistent interaction.
9.0
Avg Likes/Tweet
6.2
Avg Retweets/Tweet
16,552
Total Likes
11,318
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
10
75th Percentile
2,542
Top Tweet
0.2
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
31.2%
Original
13.0%
Replies
51.5%
Retweets
4.3%
Quotes
0.0%
Threads
0.2%
With Media
35.0%
With Links
3.1%
With #Tags
64.8%
With @Mentions
57.1%
With Emojis
62
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,840 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 947 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 1,840 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 appears to be primarily South African, with a strong interest in local entertainment and pop culture. The use of slang and references to local figures suggests a deep connection to the local community.
Average
Audience Quality
31.7%
Suspicion Index
37.3%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.1%
Empty Bio
54.4%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
54.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
38.5%
<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.
4,796,771
Total Potential Reach
24
Median Follower Reach
153
75th Percentile Reach
5.4%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22.7%
Creators
2,267 accounts
22.9%
Consumers
2,294 accounts
54.4%
Dormant
5,439 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):
3
Verified Followers
0.03% of total
1,154
Protected Accounts
11.54% 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 |
|---|---|---|---|
| @slikouron | 487,376 | Musician | Music, Entertainment, Interviews |
| @ZimEye | 431,015 | Journalist | Zimbabwe, Africa, Journalism |
| @Lalla_Hirayama | 399,877 | TV Presenter | Entertainment, Beauty, Asia |
| @drmalinga | 325,613 | Musician | Music, Booking, Entertainment |
| @MrTheoHughes | 187,098 | Writer | Technology, Innovation, Entrepreneurship |
| @pmcafrica | 111,686 | Entertainment | laughter, cars, football |
| @RSA_Kay_ | 99,653 | Influencer | Love, Fashion, Travel |
| @NationalCoGTA | 88,914 | Government | Government, Cooperation, Traditional |
| @Aymos_shili | 85,166 | Musician | Music, Singer, Songwriter |
| @T_a_t_e_n_d_a | 64,001 | Engineer | Engineering, Football, Loyalty |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,390
Followers With Bio
3,610
Followers Without Bio
63.9%
% With Bio
36.1%
% 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 1,840 analyzed6,274
Combined Engagement
593
Total Likes
5,681
Total Retweets
1,255
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @arona_mmm: He’s in his quiet boy era https://t.co/RY1KiNWUPP
RT @Banker__X: 🚨Competition time We’re giving away 2x R1000 cash 💰 All you have to do is: 1. Retweet this post 2. Follow BankerX
RT @KabzaDeSmall_: Full Album dropping Thursday N O T U M A T O Album Pre Order https://t.co/cuktpn46Ab https://t.co/RvMR67oAzo
RT @kay_mahapa: Adiwele will be dropping as Young Stunna’s song. Kabza is a man of honour and culture and that’s why he’s the GOAT
Ziyakhala🔥🔥😂 Retweet Rt Rt... https://t.co/jNwT6JxqfA
Key Insights & Takeaways
His content often includes humor and local slang, which resonates with his audience. He frequently references popular South African music and celebrities, which helps maintain relevance. His tweets are concise and engaging, making them easy to share and retweet.
Strengths
- + Established follower base of 75,481
- + 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 @Mbeko_masiye reveals an growing Twitter presence with 75,481 followers. The account demonstrates a content-creator strategy, averaging 15.1 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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