Refiloe Jane
@SassuoloUS player 🇮🇹 | RSA Women’s National Team 🇿🇦 | 🏆🥇2022 AWCON CHAMP | @nike Athlete | @ltaagency | @_bsportsagency | @RJOutreach |Reader
81,412
Followers
1,757
Following
5,776
Tweets
156.7
Avg Engagement
30
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fifinhojane'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:2012-04-23
- Verification:No
- Location:kliptown
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:95.2
- Avg Retweets per Tweet:61.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,225 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and resonates with her followers.
95.2
Avg Likes/Tweet
61.4
Avg Retweets/Tweet
307,057
Total Likes
198,141
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
14
75th Percentile
44,206
Top Tweet
1.92
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8.9%
Original
58.4%
Replies
29.8%
Retweets
2.9%
Quotes
0.0%
Threads
0.1%
With Media
34.6%
With Links
25.6%
With #Tags
91.5%
With @Mentions
67.7%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.58
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.4%
Weekday Posts
35.6%
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 962 retweets (30% 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 10,000 followersHer followers are likely sports enthusiasts, fans of the RSA Women’s National Team, and supporters of women’s football. They are also interested in faith-based content and athlete endorsements.
Average
Audience Quality
25.8%
Suspicion Index
31.2%
Low-Quality %
89
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.6%
Empty Bio
32.5%
<10 Tweets
21.5%
Mass Following (>2K)
0.0%
New (<90 days)
37.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
19.8%
<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.
8,768,533
Total Potential Reach
89
Median Follower Reach
338
75th Percentile Reach
8.9%
>1K followers
0.8%
>10K followers
0.2%
>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).
40.6%
Creators
4,059 accounts
26.9%
Consumers
2,692 accounts
32.5%
Dormant
3,249 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):
11
Verified Followers
0.11% of total
467
Protected Accounts
4.67% 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 |
|---|---|---|---|
| @LeBronJames | 940,727 | - | - |
| @thomasmlambo | 807,719 | Sport Anchor | Soccer, Sport, TV |
| @destinyzee | 384,141 | Comedian | Fashion, Humor, History |
| @MetjahTebogo | 290,895 | Radio Presenter | Radio, Brand partnerships, Entrepreneurship |
| @MeshackBevhula | 197,900 | - | - |
| @MrTheoHughes | 186,672 | Writer | Technology, Innovation, Entrepreneurship |
| @_cosatu | 170,785 | Labor Union | Labor, Workers' Rights, Solidarity |
| @MimoMokgosi | 148,897 | - | - |
| @SSFootball | 131,947 | Sports Journalist | Football, News, Updates |
| @AthiMtongana | 119,208 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,743
Followers With Bio
4,257
Followers Without Bio
57.43%
% With Bio
42.57%
% 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 analyzed145,324
Combined Engagement
79,728
Total Likes
65,596
Total Retweets
29,065
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @youngy18: Hi everyone, just wanted to share my thoughts given I'm currently living in Italy, the epicentre of the virus.
All Good, All GOD.... #AfricanChamp 🇿🇦 #TotalEnergiesWAFCON Champ #LiveTheImpossible #BanyanaKaofela https://t.co/1yuMItSmG9
Akulaleki.... 🇿🇦🇿🇦🇿🇦🇿🇦 https://t.co/YHOTY1lvZA
God’s timing is the only timing that matters. https://t.co/2OGjiOAHvx
RT @caster800m: They keep talking, I keep winning. Isn't that beautiful...?🤞🗣
Key Insights & Takeaways
Her content is heavily focused on her sports achievements and national pride She frequently uses hashtags related to her team and events, which helps in increasing visibility Her personal faith is a recurring theme, which adds a personal and inspirational touch to her tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 81,412
- + 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 @fifinhojane reveals an well-established Twitter presence with 81,412 followers. The account demonstrates a conversation-first approach, averaging 156.7 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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