KasabianHQ
Summer Solstice II. Tickets on Sale Friday 8th December 9:30AM
351,784
Followers
85
Following
4,197
Tweets
285.0
Avg Engagement
1,266
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KasabianHQ'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:2011-03-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,176
- Avg Likes per Tweet:210.1
- Avg Retweets per Tweet:74.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,176 tweetsThe account maintains a high level of engagement, with consistent likes and retweets, indicating a loyal and active fan base. The mix of news and emotional content likely contributes to this engagement.
210.1
Avg Likes/Tweet
74.8
Avg Retweets/Tweet
667,424
Total Likes
237,639
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
50
Median Likes
26
Median Retweets
215
75th Percentile
51,881
Top Tweet
0.81
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
69.2%
Original
5.7%
Replies
20.2%
Retweets
4.9%
Quotes
0.0%
Threads
1.6%
With Media
77.8%
With Links
49.4%
With #Tags
52.5%
With @Mentions
10.2%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.3%
Weekday Posts
23.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,176 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 640 retweets (20% 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 3,176 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 of Kasabian, including long-time supporters and those interested in the band's evolution. They are likely engaged with both the band's current activities and its historical milestones.
Average
Audience Quality
20.7%
Suspicion Index
28.4%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
20.9%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
42.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
13.6%
<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.
43,778,679
Total Potential Reach
52
Median Follower Reach
198
75th Percentile Reach
4.5%
>1K followers
0.4%
>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).
59.3%
Creators
29,637 accounts
19.8%
Consumers
9,919 accounts
20.9%
Dormant
10,444 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):
359
Verified Followers
0.36% of total
14,135
Protected Accounts
14.0% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,103,757 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KaizerChiefs | 2,778,409 | Football Club | Football, Soccer, Marketing |
| @Radioacktiva_ | 1,990,562 | Radio Host | rock, football, video games |
| @JackManifoldTV | 1,965,801 | Content Creator | Gaming, Comedy, Streaming |
| @CelebJuice | 1,946,581 | Entertainment | TV, Comedy, Entertainment |
| @chris_kammy | 1,898,925 | Football pundit | Football, TV, Singing |
| @Radio105 | 1,377,559 | Radio Host | Music, Entertainment, Diversity |
| @RollingStoneMX | 1,359,202 | Magazine | Music, Culture, Entertainment |
| @matiasmartin | 1,349,607 | TV Host | None |
| @SinghLions | 1,334,725 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,431
Followers With Bio
49,567
Followers Without Bio
50.92%
% With Bio
49.08%
% 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 3,176 analyzed123,232
Combined Engagement
89,940
Total Likes
33,292
Total Retweets
24,646
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Now that the legal proceedings have been concluded, we can comment on the departure of Tom Meighan from the band. Full statement below. Kasabian x https://t.co/vP7Y61sxQA
Tom Meighan is stepping down from Kasabian by mutual consent. Tom has struggled with personal issues that have affected his behaviour for quite some time and now wants to concentrate all his energies on getting his life back on track. We will not be commenting further.
RT @socceraid: 📸 Your #ROW team. Cheese! 🔵 #SoccerAid https://t.co/ontt08RkPq
RIP Taylor, such sad news. He was an absolute beast behind the kit and a lovely man. Our thoughts are with his family, friends and band X https://t.co/ZpShsQJV4r
https://t.co/G4OrFERJW6
Key Insights & Takeaways
The account frequently shares significant band-related news, such as legal updates and member departures, which can drive high engagement. Emotional content, like tributes to past members, resonates strongly with the audience, indicating a deep connection to the band's history. The account uses verified status and strategic timing for ticket sales to maintain credibility and attract attention.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 351,784
- + 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 @KasabianHQ reveals an well-established Twitter presence with 351,784 followers. The account demonstrates a content-creator strategy, averaging 285.0 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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