Lux
Founded @notwoways | @afterpartyldn | https://www.facebook.com/unsupportedbrowser
1,729,003
Followers
1,003
Following
25,446
Tweets
4,409.7
Avg Engagement
583
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Callux'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:2010-11-17
- Verification:No
- Location:business@callux.co.uk
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:2,990.3
- Avg Retweets per Tweet:1,419.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,231 tweetsCallux's tweets consistently receive high likes and retweets, indicating a highly engaged audience. Their content is often shared widely, contributing to their influence.
2,990.3
Avg Likes/Tweet
1,419.3
Avg Retweets/Tweet
9,661,718
Total Likes
4,585,915
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
379
Median Likes
2
Median Retweets
4,163
75th Percentile
426,349
Top Tweet
2.55
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
20.4%
Original
71.0%
Replies
7.6%
Retweets
0.9%
Quotes
0.0%
Threads
0.3%
With Media
13.6%
With Links
1.2%
With #Tags
79.6%
With @Mentions
13.4%
With Emojis
52
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.48
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 246 retweets (8% 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 3,231 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 followersCallux's audience is primarily interested in entertainment, sports, and social media trends. They engage with content that provokes strong reactions and opinions.
Below Average
Audience Quality
39.2%
Suspicion Index
55.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.6%
Empty Bio
61.5%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
81.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
47.0%
<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.
14,427,209
Total Potential Reach
3
Median Follower Reach
13
75th Percentile Reach
1.0%
>1K followers
0.2%
>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).
17.7%
Creators
8,828 accounts
20.9%
Consumers
10,444 accounts
61.5%
Dormant
30,728 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):
295
Verified Followers
0.29% of total
8,804
Protected Accounts
8.72% 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 |
|---|---|---|---|
| @TheGrefg | 7,768,720 | Content Creator | Gaming, Content Creation, Esports |
| @KarlJacobs_ | 4,710,501 | Content Creator | Comedy, Content Creation, Business |
| @SirKunt | 2,253,981 | - | - |
| @Syndicate | 2,066,446 | Gamer | video games, job, SyndicateOG |
| @CouRageJD | 1,941,952 | Gamer | Gaming, Soup, Merch |
| @PicturesFoIder | 1,816,428 | Photographer | Photography, Non-aesthetic, Best page |
| @WSBChairman | 904,525 | Finance | Finance, Stocks, Memes |
| @JaySwingler | 844,857 | YouTuber | pranks, challenges, comedy |
| @NOH8Campaign | 801,949 | Activism | equality, bullying, discrimination |
| @markgoldbridge | 633,480 | Presenter | Football, Manchester United, Presenter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,257
Followers With Bio
62,742
Followers Without Bio
37.88%
% With Bio
62.12%
% 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 3,231 analyzed1,724,536
Combined Engagement
289,679
Total Likes
1,434,857
Total Retweets
344,907
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @aanthonyy07: Day 6 of quarantine https://t.co/AYhps3JoR5
RT @Alone2Rome: It’s not white vs black, it’s everybody vs racists
PLEASE FOR THE LOVE OF GOD ARSENAL https://t.co/EHJf7pqpgX
RT @3ternalsuns: I saw this and I wanted to retweet it but the protester’s face was in it... so I cropped it but I did need this to be seen…
RT @idriselba: This morning I tested positive for Covid 19. I feel ok, I have no symptoms so far but have been isolated since I found out a…
Key Insights & Takeaways
Callux's tweets often focus on trending topics and public figures, which drives engagement. Their use of humor and provocative statements helps to attract attention and interaction. They maintain a strong presence by consistently posting and interacting with their followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,729,003
- + 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 @Callux reveals an exceptionally influential Twitter presence with 1,729,003 followers. The account demonstrates a conversation-first approach, averaging 4,409.7 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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