Kermit Romeo Erasmus
ATHLETE
239,177
Followers
1,987
Following
4,669
Tweets
304.2
Avg Engagement
386
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Erasmus_95'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:2011-12-14
- Verification:No
- Location:Cape Town, South Africa
Data Summary
- Tweets Analyzed:3,112
- Avg Likes per Tweet:87.2
- Avg Retweets per Tweet:217.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,112 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and interest.
87.2
Avg Likes/Tweet
217.0
Avg Retweets/Tweet
271,480
Total Likes
675,311
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
3
Median Retweets
49
75th Percentile
214,408
Top Tweet
1.27
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
48.1%
Original
3.1%
Replies
35.2%
Retweets
13.6%
Quotes
0.0%
Threads
0.2%
With Media
38.1%
With Links
46.9%
With #Tags
47.9%
With @Mentions
23.9%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,112 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,095 retweets (35% 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 3,112 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 appears to be fans and followers interested in personal stories and sports-related content.
Average
Audience Quality
26.0%
Suspicion Index
29.8%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.9%
Empty Bio
35.3%
<10 Tweets
16.0%
Mass Following (>2K)
0.0%
New (<90 days)
44.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
21.6%
<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.
35,389,870
Total Potential Reach
57
Median Follower Reach
252
75th Percentile Reach
8.1%
>1K followers
0.6%
>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).
36.9%
Creators
18,447 accounts
27.8%
Consumers
13,905 accounts
35.3%
Dormant
17,648 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):
65
Verified Followers
0.06% of total
5,103
Protected Accounts
5.05% of total
4 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 |
|---|---|---|---|
| @PearlThusi | 3,479,045 | Actress | Actress, Netflix, Africa |
| @benlandis | 2,848,389 | - | - |
| @KaizerChiefs | 2,779,694 | Football Club | Football, Soccer, Marketing |
| @Nasty_CSA | 2,072,573 | Rapper | Music, Fashion, Lifestyle |
| @MbauReloaded | 1,830,274 | Entertainer | Fashion, Beauty, Entertainment |
| @Shimza01 | 1,755,089 | DJ | Music, Entertainment, Brand Ambassador |
| @ChrisExcel102 | 1,661,062 | Influencer | Savage, AssHole, King |
| @SinghLions | 1,334,271 | Restaurateur | Food, Travel, Influencer |
| @TheRealPitso | 1,214,813 | Football Coach | Football, Coaching, Awards |
| @loyisogola | 1,100,630 | Comedian | stand-up comedy, South Africa, Emmy nominations |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,164
Followers With Bio
36,832
Followers Without Bio
63.53%
% With Bio
36.47%
% 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 3,112 analyzed473,517
Combined Engagement
0
Total Likes
473,517
Total Retweets
94,703
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Kaepernick7: Believe in something. Even if it means sacrificing everything. #JustDoIt https://t.co/x5TnU7Z51i
RT @FinallyMario: If we beat Costa Rica i want a kiss,obviously on the cheek, from the UK Queen.😂😂😂.
RT @gucci1017: Believe in yourself
RT @YbnCordae: They tried to throw me off switching beats..... this shit too easy S/O @lilpump 🤷🏽♂️🏌🏿♂️ https://t.co/cOOGEI7EfG
RT @Tip: This is PURE EVIL!!!!! I'm LIVID!!!! Satin is BUSY as a muuufucka. Spiritual Warfare in full effect.What side u on? Fight Back...…
Key Insights & Takeaways
They often share personal truths and reflections, revealing a candid side. They express gratitude towards their idol and supporters, showing appreciation. They critique coaching and league issues, indicating a voice of concern and opinion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 239,177
- + 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 @Erasmus_95 reveals an well-established Twitter presence with 239,177 followers. The account demonstrates a content-creator strategy, averaging 304.2 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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