Kay Sibiya
Someone who received great Grace.| @agenttvdrama on @Netflix | IG @Kay_Sibiy
199,130
Followers
695
Following
21,621
Tweets
17.6
Avg Engagement
47
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kay_Sibiya'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:2012-11-01
- Verification:No
- Location:DBN JHB
Data Summary
- Tweets Analyzed:2,996
- Avg Likes per Tweet:5.4
- Avg Retweets per Tweet:12.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,996 tweetsKay_Sibiya's tweets receive an average of 519 likes and 56 retweets, indicating a highly engaged audience. Their content is well-received, with a focus on interactive and shareable posts.
5.4
Avg Likes/Tweet
12.2
Avg Retweets/Tweet
16,137
Total Likes
36,592
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
4
75th Percentile
6,922
Top Tweet
0.09
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
14.1%
Original
22.2%
Replies
63.3%
Retweets
0.5%
Quotes
0.0%
Threads
0.4%
With Media
26.3%
With Links
53.6%
With #Tags
90.1%
With @Mentions
36.3%
With Emojis
89
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.58
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.4%
Weekday Posts
16.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,996 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 1,895 retweets (63% 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 2,996 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 of Netflix shows and social media followers, likely interested in entertainment news and celebrity interactions. They are active and engaged, showing interest in trending topics and celebrity pairings.
Average
Audience Quality
25.8%
Suspicion Index
27.4%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.3%
Empty Bio
38.7%
<10 Tweets
15.2%
Mass Following (>2K)
0.0%
New (<90 days)
45.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
24.5%
<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.
29,794,698
Total Potential Reach
50
Median Follower Reach
248
75th Percentile Reach
8.6%
>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).
31.8%
Creators
15,911 accounts
29.5%
Consumers
14,755 accounts
38.7%
Dormant
19,334 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):
14
Verified Followers
0.01% of total
5,030
Protected Accounts
5.03% of total
5 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 |
|---|---|---|---|
| @KameronBennett | 1,818,446 | DJ | Music, DJing, Booking |
| @Official_SABC1 | 1,350,250 | TV Channel | - |
| @MichaelBucwa | 1,165,276 | - | - |
| @KabzaDeSmall_ | 1,068,171 | Producer/DJ | Music, Producer, DJ |
| @LiveAmp | 986,469 | Entertainment | music, entertainment, television |
| @Shona_Ferguson | 902,537 | Actor | Family, Faith, Gratitude |
| @CandieModiselle | 415,226 | - | - |
| @GUESS | 398,268 | Fashion influencer | Fashion, Youth, Adventure |
| @GQdotcoza | 394,260 | Fashion Magazine | Fashion, Lifestyle, Culture |
| @Lean3JvV | 365,962 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,466
Followers With Bio
35,534
Followers Without Bio
64.47%
% With Bio
35.53%
% 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 2,996 analyzed17,067
Combined Engagement
0
Total Likes
17,067
Total Retweets
3,413
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @EASPORTSFIFA: This guy's last 12 months 🙌 @Cristiano https://t.co/7x04SvB14h
RT @SamuelLJackson: RIP Hugh Masekela, you & Gabriel can grab Satchmo & light da place up!! #musicofmyyouth#freedomfighter#apartheidbuster
RT @CassperNyovest: HERE IT IS!!!! RT TO THE WORLD!!!! The #KsazobalitMusicVideo live on YouTube!!! click on the link to watch: https://t.c…
RT @CassperNyovest: I travel the world. I’m blessed enough to sit in first class&business lounges&I often find myself being the only black…
RT @mzwandileMasina: Myself, the City Manager & GCFO of the City of Ekurhuleni will be donating 33% of our salaries to the Solidarity Fund…
Key Insights & Takeaways
The user frequently uses hashtags to promote content and engage with fans. They often share links to their Instagram and Netflix-related posts. Their tweets highlight trending topics and celebrity pairings, which drive engagement.
Strengths
- + Established follower base of 199,130
- + 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 @Kay_Sibiya reveals an growing Twitter presence with 199,130 followers. The account demonstrates a conversation-first approach, averaging 17.6 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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