SA Fashion Week
The Business of Ethical Fashion #SAFW 🇿🇦
478,927
Followers
1,240
Following
29,030
Tweets
297
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @safashionweek'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:2009-07-06
- Verification:No
- Location:Johannesburg, South Africa
Data Summary
- Followers Analyzed:50,000
- Following Analyzed:1,238
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Audience Demographics
Based on 50,000 followersThe primary audience includes fashion professionals, ethical fashion advocates, and sustainability enthusiasts in South Africa and beyond. The account likely attracts individuals interested in business models that align with ethical and environmental values.
Average
Audience Quality
31.5%
Suspicion Index
42.8%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.6%
Empty Bio
59.6%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
43.9%
<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.
15,881,320
Total Potential Reach
10
Median Follower Reach
47
75th Percentile Reach
3.3%
>1K followers
0.3%
>10K followers
0.1%
>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).
19.3%
Creators
9,629 accounts
21.2%
Consumers
10,578 accounts
59.6%
Dormant
29,793 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):
198
Verified Followers
0.04% of total
18,840
Protected Accounts
3.93% of total
7 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 |
|---|---|---|---|
| @Boity | 3,914,019 | Entertainer | Actress, Musician, Entrepreneur |
| @DJZinhle | 3,582,770 | DJ | Music, Fashion, Africa |
| @MbalulaFikile | 2,997,500 | Politician | Transport, Sports, Politics |
| @NomzamoMbatha | 2,806,295 | Actress | Actress, Coming 2 America, Stream |
| @Thando_Thabethe | 2,561,707 | Actress | Actress, Radio, Bookings |
| @DJFreshSA | 2,390,134 | DJ | Music, Radio, House |
| @BeatsByAssassin | 2,236,684 | Multitalented | Actor, Director, Rapper |
| @TimesLIVE | 2,037,582 | News outlet | News, features, analysis |
| @6BillionPeople | 2,006,705 | - | - |
| @ThuliMadonsela3 | 1,759,207 | Advocate | Social Justice, Advocate, Governance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
170,985
Followers With Bio
308,376
Followers Without Bio
35.67%
% With Bio
64.33%
% 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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Based on 1,238 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
11.5%
Verified Accounts
25.4%
High Authority (>50K)
100.0%
Dormant Accounts
9.9%
Low Quality
3,554
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
67.4%
Individuals
834 accounts
21.9%
Brands/Orgs
271 accounts
10.7%
Media/News
133 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @BarackObama Barack Obama | 131,946,716 | Politician | Family, Leadership, Citizenship |
| @YouTube YouTube | 79,161,245 | Content Creator | Entertainment, Technology, Social media |
| @X X | 66,567,337 | Social Media Manager | - |
| @cnnbrk CNN Breaking News | 63,831,085 | News Outlet | News, Breaking, Alerts |
| @nytimes The New York Times | 55,034,754 | News Organization | News, Tips, Share |
| @BBCBreaking BBC Breaking News | 51,630,740 | News broadcaster | News, Updates, Alerts |
| @Oprah Oprah Winfrey | 42,128,566 | TV Host | empowerment, media, philanthropy |
| @BBCWorld BBC News (World) | 40,151,130 | News Organization | News, features, analysis |
| @instagram Instagram | 33,158,081 | Social Media | Love, Connection, Sharing |
| @kourtneykardash Kourtney Kardashian | 26,541,417 | Reality TV Star | Fashion, Wellness, Motherhood |
Key Insights & Takeaways
The account may prioritize educational content over engagement-driven posts It likely targets a professional or niche audience interested in ethical fashion business models Low engagement suggests a need for more interactive or visually engaging content
Strengths
- + Established follower base of 478,927
- + 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 @safashionweek reveals an growing Twitter presence with 478,927 followers. The account demonstrates a content-creator strategy, averaging 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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