Adam Carruthers
Host on Astro Supersport & hitz fm
100,482
Followers
1,130
Following
15,305
Tweets
99.6
Avg Engagement
148
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Adamcarruthers'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:2008-12-30
- Verification:No
- Location:Malaysia
Data Summary
- Tweets Analyzed:3,195
- Avg Likes per Tweet:1.5
- Avg Retweets per Tweet:98.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,195 tweetsAdamcarruthers' tweets typically receive around 181 likes and 111 retweets on average. His content is well-received, indicating a loyal and active audience.
1.5
Avg Likes/Tweet
98.0
Avg Retweets/Tweet
4,864
Total Likes
313,268
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
41,964
Top Tweet
0.99
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
65.8%
Original
18.9%
Replies
10.3%
Retweets
5.0%
Quotes
0.0%
Threads
1.2%
With Media
74.6%
With Links
27.4%
With #Tags
51.7%
With @Mentions
13.9%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,195 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 330 retweets (10% 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 3,195 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 10,000 followersHis audience likely includes sports fans and listeners of hitz fm. The engagement with his tweets suggests a community interested in sports and entertainment.
Below Average
Audience Quality
40.4%
Suspicion Index
56.1%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.3%
Empty Bio
71.4%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
79.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
57.9%
<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.
27,566,555
Total Potential Reach
3
Median Follower Reach
12
75th Percentile Reach
2.0%
>1K followers
0.9%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
15.3%
Creators
1,535 accounts
13.2%
Consumers
1,322 accounts
71.4%
Dormant
7,143 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):
15
Verified Followers
0.15% of total
638
Protected Accounts
6.38% of total
6 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 | 14,092,887 | Wrestler | Wrestling, Motivation, Self-promotion |
| @soledadobrien | 1,317,465 | Journalist | working, mom, journalist |
| @Robbie9Fowler | 1,161,681 | Footballer | Football, Nike, Podcasts |
| @MichaelEssien | 776,544 | Footballer | Football, Charity, Philanthropy |
| @mattletiss7 | 620,626 | Football pundit | Football, pundit, Southampton |
| @MicahRichards | 571,617 | Pundit | Football, punditry, writing |
| @honigstein | 527,963 | Sports Journalist | Football, Journalism, Podcasts |
| @ASTROARENA | 491,991 | Sports Broadcaster | Sports, Malaysia, Live Coverage |
| @OliverKay | 428,597 | Sports Journalist | Football, Writing, Author |
| @JohnHartson10 | 400,420 | Sports Agent | Football, Sports, Whisky |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,566
Followers With Bio
5,434
Followers Without Bio
45.66%
% With Bio
54.34%
% 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 3,195 analyzed157,091
Combined Engagement
0
Total Likes
157,091
Total Retweets
31,418
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @ManUtd: We are delighted to have reached an agreement in principle for the transfer of @Casemiro 🇧🇷 #MUFC
RT @ChelseaFC: Chelsea Football Club is delighted to welcome Graham Potter as our new Head Coach! 🤝
RT @ChelseaFC: Club statement.
RT @FCBarcelona: Back in DA house! https://t.co/qicb8RRc1h
RT @HKane: It was incredible to see the reception from the Spurs fans on Sunday and to read some of the messages of support I've had in the last few weeks. 👏⚽ I will be staying at Tottenham this summer and will be 100% focused on helping the team achieve success. #COYS https://t
Key Insights & Takeaways
His tweets often reference sports performance and personal rituals, such as eating nasi lemak before events. He frequently promotes interviews and events, indicating a focus on content sharing and audience engagement. His verified status is low, suggesting a personal rather than corporate account.
Strengths
- + Established follower base of 100,482
- + 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 @Adamcarruthers reveals an growing Twitter presence with 100,482 followers. The account demonstrates a content-creator strategy, averaging 99.6 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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