6,806,282
Followers
13,932
Following
15,166
Tweets
39,185.5
Avg Engagement
24,855
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Calum5SOS'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: Mega Influencer (1M+)
- Account Age:2011-11-02
- Verification:No
- Location:Sydney, Australia
Data Summary
- Tweets Analyzed:3,145
- Avg Likes per Tweet:24,952.9
- Avg Retweets per Tweet:14,232.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,145 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The engagement reflects a loyal and active fan base that connects with his personal and professional updates.
24,952.9
Avg Likes/Tweet
14,232.6
Avg Retweets/Tweet
78,476,802
Total Likes
44,761,522
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13,547
Median Likes
8,903
Median Retweets
65,143
75th Percentile
312,593
Top Tweet
5.76
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
34.6%
Original
39.7%
Replies
24.4%
Retweets
1.3%
Quotes
0.0%
Threads
0.7%
With Media
34.1%
With Links
10.0%
With #Tags
67.4%
With @Mentions
11.5%
With Emojis
65
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.15
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,145 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 767 retweets (24% 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 3,145 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 followersHis audience is primarily young fans and music enthusiasts who appreciate his authenticity. They engage with his posts through likes and retweets, showing support for his journey.
Average
Audience Quality
25.4%
Suspicion Index
33.3%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
38.6%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
55.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
28.7%
<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.
10,954,012
Total Potential Reach
6
Median Follower Reach
42
75th Percentile Reach
2.5%
>1K followers
0.2%
>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).
40.1%
Creators
20,038 accounts
21.3%
Consumers
10,666 accounts
38.6%
Dormant
19,296 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):
87
Verified Followers
0.09% of total
17,959
Protected Accounts
17.78% of total
2 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 |
|---|---|---|---|
| @SinghLions | 1,335,546 | Restaurateur | Food, Travel, Influencer |
| @MilesSTEREOS | 862,032 | Musician | Guitarist, Writer, Producer |
| @bouska | 841,232 | Fashion Photographer | Fashion, Photography, Activism |
| @iamprincekash | 410,035 | - | - |
| @theuniq | 383,942 | Media Personality | Discoveries, Stories, Videos |
| @stereogum | 361,868 | Music Blog | Music, Culture, News |
| @JohnnieGuilbert | 311,081 | Musician | music, solo artist, friends |
| @DarcyCarden | 280,251 | Actress | comedy, acting, sports |
| @JulianMarley | 272,541 | Musician | Reggae, Music, Family |
| @DerikFein | 214,117 | Singer | Music, Songwriting, Performance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,163
Followers With Bio
35,832
Followers Without Bio
64.52%
% With Bio
35.48%
% 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 3,145 analyzed1,347,170
Combined Engagement
870,144
Total Likes
477,026
Total Retweets
269,434
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Least ya know what it looks like now
Man y’all just as single as my ass is https://t.co/9wzNwUWniP
I'm still just a teenage kid learning from mistakes :)
No one ever wants to see your best friend in the state I saw mike backstage. He's a trooper and is ok.
http://t.co/tMgp1gWOz9
Key Insights & Takeaways
He often shares personal growth and self-reflection, which resonates with his audience. He expresses gratitude and acknowledges the support from his fans, fostering a sense of community. He balances emotional moments with optimism, showing both vulnerability and resilience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 6,806,282
- + 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 @Calum5SOS reveals an exceptionally influential Twitter presence with 6,806,282 followers. The account demonstrates a conversation-first approach, averaging 39,185.5 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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