OFFICIAL Skeem Saam 12
Monday to Friday at 18:30 and Omnibus from 9.30am on SABC1 Mzansi Fo Sho
601,313
Followers
263
Following
101,798
Tweets
19.1
Avg Engagement
150
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SkeemSaam3'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:2014-06-22
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:15.2
- Avg Retweets per Tweet:3.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,225 tweetsSkeemSaam3's tweets receive an average of 1,432 likes and 94 retweets, indicating strong audience interaction. Their content is well-received and consistently shared.
15.2
Avg Likes/Tweet
3.8
Avg Retweets/Tweet
49,162
Total Likes
12,330
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
4
75th Percentile
2,322
Top Tweet
0.03
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
4.9%
Original
7.2%
Replies
84.7%
Retweets
3.2%
Quotes
0.0%
Threads
0.1%
With Media
39.9%
With Links
91.5%
With #Tags
95.8%
With @Mentions
42.8%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.47
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
100.0%
Weekday Posts
0.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 2,731 retweets (85% 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 3,225 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 South Africans interested in drama and entertainment. They are likely regular viewers of SABC1 and engaged fans of the show.
Average
Audience Quality
33.0%
Suspicion Index
46.5%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.3%
Empty Bio
58.0%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
54.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
42.7%
<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.
15,334,086
Total Potential Reach
15
Median Follower Reach
89
75th Percentile Reach
4.2%
>1K followers
0.3%
>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).
20.0%
Creators
9,998 accounts
22.0%
Consumers
11,017 accounts
58.0%
Dormant
28,985 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):
38
Verified Followers
0.04% of total
4,976
Protected Accounts
4.98% of total
3 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 |
|---|---|---|---|
| @OleItumbi | 2,148,378 | Strategist | Politics, Communication, Farming |
| @willieeng | 573,910 | Accountant | - |
| @Munghana | 480,128 | Radio Host | Music, News, Culture |
| @THE_THEO_FORD | 469,488 | - | - |
| @zammit_marc | 387,898 | Filmmaker | Film, Acting, Producing |
| @Carolinerathabe | 376,298 | Journalist | Fashion, Travel, Lifestyle |
| @phuti1998 | 357,829 | Construction Worker | construction, fashion, social media |
| @KeletsoMss | 263,048 | - | - |
| @PennyLebyane | 254,958 | Broadcaster | Advocate, Broadcaster, SelfLovePinUp |
| @Cash_Graphics | 251,168 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,137
Followers With Bio
43,863
Followers Without Bio
56.14%
% With Bio
43.86%
% 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 3,225 analyzed10,470
Combined Engagement
9,864
Total Likes
606
Total Retweets
2,094
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
The Kunutu Family! ❤️ #SkeemSaam https://t.co/5CEMvtJlzc
Tonight on #SkeemSaam A mistress’ expensive gift unwittingly lands in the hands of the wife. @Official_SABC1 https://t.co/FHumB2zIoG
Tonight on #SkeemSaam Mr Kgomo's illicit rendezvous turns into a nightmare. @Official_SABC1 https://t.co/NDy7Jh7CIc
Ivy is back home early! #SkeemSaam https://t.co/LhwwRsMoms
IVY!🙆♀️🙆♀️🙆♀️#SkeemSaam https://t.co/1LCS6OMDdU
Key Insights & Takeaways
The user frequently promotes their TV show with episode teasers and updates. They use relevant hashtags and tag the official SABC1 account to increase visibility. Their content is tailored to their audience's interests in drama and storytelling.
Strengths
- + Established follower base of 601,313
- + 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 @SkeemSaam3 reveals an growing Twitter presence with 601,313 followers. The account demonstrates a conversation-first approach, averaging 19.1 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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