1.823.332
Followers
743
Following
45.789
Tweets
458,4
Avg Engagement
718
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MbauReloaded'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:2010-11-15
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:3.111
- Avg Likes per Tweet:421,1
- Avg Retweets per Tweet:37,3
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.111 tweetsThe account consistently receives high engagement, indicating a loyal and active audience. The average likes and retweets suggest that the content is well-received and shared widely.
421,1
Avg Likes/Tweet
37,3
Avg Retweets/Tweet
1.310.180
Total Likes
116.034
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
42
75th Percentile
36.966
Top Tweet
0,25
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
19,0%
Original
21,0%
Replies
39,3%
Retweets
20,7%
Quotes
0,0%
Threads
0,1%
With Media
42,4%
With Links
27,1%
With #Tags
64,1%
With @Mentions
30,2%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,11
Reply/Original Ratio
0,53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73,4%
Weekday Posts
26,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.111 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1.222 retweets (39% 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 3.111 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 likely includes individuals interested in personal stories, emotional content, and possibly music or cultural references. They may be active on social media and engage with content that resonates emotionally.
Below Average
Audience Quality
38,3%
Suspicion Index
54,0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48,5%
Empty Bio
75,1%
<10 Tweets
2,3%
Mass Following (>2K)
0,0%
New (<90 days)
68,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
98,1%
No URL
59,6%
<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.
4.720.816
Total Potential Reach
4
Median Follower Reach
21
75th Percentile Reach
1,1%
>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).
8,4%
Creators
4.222 accounts
16,5%
Consumers
8.242 accounts
75,1%
Dormant
37.536 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):
30
Verified Followers
0.03% of total
11.230
Protected Accounts
11.23% 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 |
|---|---|---|---|
| @CarsSouthAfrica | 278.316 | Automotive | Dream, Search, Drive |
| @gnont | 192.688 | Influencer | Investing, People, Relationships |
| @SallyMbilu | 186.890 | Communications | Strategic Comms, Advocacy, Media |
| @Shipululo | 156.253 | Politician | Activism, Decolonialism, Provocative |
| @nozipho_zulu_ | 139.662 | - | - |
| @LeadInAfricaSA | 129.689 | Leadership Development | Leadership, Inspiration, Education |
| @barbiliscious | 127.347 | Model | Celebrity, Model, Reality Show |
| @Mollage_ | 119.407 | Influencer | Music, Fashion, Beauty |
| @lupingcayisa | 108.365 | Communications | Communications, Media, Events |
| @Devi_HQ | 96.588 | Journalist | Investigative journalism, Television, Keynote speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53.150
Followers With Bio
46.850
Followers Without Bio
53.15%
% With Bio
46.85%
% 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 3.111 analyzed150.903
Combined Engagement
108.937
Total Likes
41.966
Total Retweets
30.181
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Rest now DAD #RIPDad ❤️ https://t.co/ESw9YYotZV
Back to the J https://t.co/O3ViYPbwHR
RT @YouNetflix: feeling YOU-4-ic. YOU Season 4 is now in production. https://t.co/1wtUttZ2P9
Ni grand? https://t.co/ISllkkh2OH
Listen!!!!! MONEY is an immune booster!!
Key Insights & Takeaways
The user frequently shares emotional and personal messages, which likely drive engagement. The top tweets include references to personal loss and cultural themes, suggesting a focus on storytelling. The use of links in top tweets may indicate a strategy to drive traffic or promote content beyond Twitter.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.823.332
- + High community engagement through conversations
- + 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 @MbauReloaded reveals an well-established Twitter presence with 1.823.332 followers. The account demonstrates a conversation-first approach, averaging 458,4 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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