Calum Best Official
LDN•LA Mindful Entrepreneur ✨ owner of Big Putts Ibiza & ixchel London . Chairman @dwfcwomen . Manager: Emma@ontheboxpr.com . Insta @ mrcalumbest
365.636
Followers
30.953
Following
82.476
Tweets
239,5
Avg Engagement
585
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CalumBest'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:2009-10-09
- Verification:No
- Location:London / LA
Data Summary
- Tweets Analyzed:3.242
- Avg Likes per Tweet:40,4
- Avg Retweets per Tweet:199,2
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.242 tweetsHis tweets typically receive high engagement, with an average of 4,461 likes and 342 retweets per post, indicating a loyal and interactive audience.
40,4
Avg Likes/Tweet
199,2
Avg Retweets/Tweet
130.847
Total Likes
645.649
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
26
75th Percentile
148.935
Top Tweet
0,66
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
19,4%
Original
21,4%
Replies
40,1%
Retweets
19,1%
Quotes
0,0%
Threads
2,0%
With Media
48,7%
With Links
9,3%
With #Tags
74,1%
With @Mentions
47,4%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,11
Reply/Original Ratio
0,48
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70,0%
Weekday Posts
30,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.242 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 1.299 retweets (40% 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 3.242 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 includes fans of football, entrepreneurs, and individuals interested in mindfulness and lifestyle content.
Average
Audience Quality
24,3%
Suspicion Index
28,6%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44,4%
Empty Bio
20,9%
<10 Tweets
16,6%
Mass Following (>2K)
0,0%
New (<90 days)
50,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,1%
No URL
12,7%
<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.
147.447.379
Total Potential Reach
61
Median Follower Reach
242
75th Percentile Reach
8,8%
>1K followers
2,1%
>10K followers
0,7%
>50K followers
0,4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57,0%
Creators
28.511 accounts
22,1%
Consumers
11.041 accounts
20,9%
Dormant
10.448 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):
1.073
Verified Followers
1.06% of total
18.314
Protected Accounts
18.13% of total
9 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 |
|---|---|---|---|
| @3gerardpique | 20.894.989 | Footballer | FCBarcelona, football, Kosmos |
| @JohnCena | 14.103.625 | Wrestler | Wrestling, Motivation, Self-promotion |
| @eentertainment | 3.527.429 | Entertainment | TV, Celebrities, News |
| @Nicolette_Shea | 2.409.462 | Content Creator | OnlyFans, Creator, Model |
| @Tyson_Fury | 2.247.974 | Boxer | Boxing, Fitness, Motivation |
| @ferhatgocer | 2.168.532 | Singer | Music, Medicine, Philanthropy |
| @cristinafoxtv | 2.165.208 | Content Creator | Content creator, Lifestyle, Fashion |
| @islamsozler | 2.136.762 | Islamic Quotes | Islam, Guidance, Remembrance |
| @6BillionPeople | 2.035.742 | - | - |
| @LindseyPelas | 1.955.357 | Model | Model, Influencer, Fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52.778
Followers With Bio
48.221
Followers Without Bio
52.26%
% With Bio
47.74%
% 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 3.242 analyzed431.900
Combined Engagement
0
Total Likes
431.900
Total Retweets
86.380
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Rob_Roos: 🚨 BREAKING: In COVID hearing, #Pfizer director admits: #vaccine was never tested on preventing transmission. "Get vaccinate…
RT @Brieyonce: Allow me to introduce you to the most ridiculous yet amazing thing you will see this week. https://t.co/MHlGmz9Ph2
RT @hq_thekonsept: This is one of the most incredible moment in golf sports ever. https://t.co/AOTXCk0VlG
RT @strobist: Twitter, explained in 15 seconds https://t.co/4dp4qytgwf
RT @kirawontmiss: i would rather not get rescued https://t.co/vGP4csNery
Key Insights & Takeaways
He often shares personal and emotional reflections, which resonate deeply with his followers. He uses Twitter to advocate for social and political causes, such as #GlazersOut. His content highlights both personal milestones and professional achievements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 365.636
- + 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 @CalumBest reveals an well-established Twitter presence with 365.636 followers. The account demonstrates a conversation-first approach, averaging 239,5 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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