Far Out Magazine
Online culture magazine.
24,865
Followers
1,108
Following
74,941
Tweets
7.5
Avg Engagement
356
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FarOutMag'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: Mid-Tier (10K+)
- Account Age:2012-04-19
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:4.0
- Avg Retweets per Tweet:3.6
- Followers Analyzed:23,154
Engagement Analysis
Based on 3,250 tweetsPosts often receive a steady level of engagement, indicating a loyal and active audience. The account's content is well-positioned to resonate with fans of music and film.
4.0
Avg Likes/Tweet
3.6
Avg Retweets/Tweet
12,947
Total Likes
11,583
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
3
75th Percentile
5,420
Top Tweet
0.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
93.9%
Original
0.8%
Replies
4.8%
Retweets
0.5%
Quotes
0.0%
Threads
0.7%
With Media
99.4%
With Links
3.6%
With #Tags
7.1%
With @Mentions
6.8%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 155 retweets (5% 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 3,250 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 23,154 followersThe audience appears to be interested in music, film, and celebrity culture, with a preference for content that highlights iconic moments and tributes. They engage actively with posts that evoke nostalgia or feature well-known artists.
Good
Audience Quality
16.8%
Suspicion Index
14.2%
Low-Quality %
237
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.3%
Empty Bio
8.6%
<10 Tweets
27.7%
Mass Following (>2K)
0.0%
New (<90 days)
25.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
61.7%
No URL
5.0%
<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.
84,410,478
Total Potential Reach
237
Median Follower Reach
806
75th Percentile Reach
21.2%
>1K followers
2.8%
>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).
79.3%
Creators
18,367 accounts
12.1%
Consumers
2,803 accounts
8.6%
Dormant
1,984 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):
372
Verified Followers
1.61% of total
2,135
Protected Accounts
9.22% 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 |
|---|---|---|---|
| @JohnCena | 14,106,808 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lonelyplanet | 6,185,012 | Travel Blogger | travel, photography, videos |
| @yokoono | 4,535,588 | Artist | Peace, Love, Activism |
| @verified | 4,201,498 | - | - |
| @JuddApatow | 2,382,786 | - | - |
| @peteyorn | 1,223,539 | Musician | Music, Livestream, Covers |
| @CageTheElephant | 1,144,044 | Musician | Music, Rock, Alternative |
| @perlmutations | 1,104,287 | Actor | acting, writing, books |
| @donwinslow | 935,459 | Author | books, writing, reading |
| @Interscope | 768,254 | Music Label | music, album release, artist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,757
Followers With Bio
5,397
Followers Without Bio
76.69%
% With Bio
23.31%
% 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 3,250 analyzed8,806
Combined Engagement
2,119
Total Likes
6,687
Total Retweets
1,761
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @A24: First time for Everything 🏆✨ https://t.co/f8NSTcTDqT
James Cameron watched S.S. Rajamouli film ‘RRR’ twice https://t.co/JV3NmSQb57
RT @TheHorrorMaster: Congratulations Guillermo on another Oscar! You rule!
Macca at 80 still loves a joint and that’s absolutely excellent 🌿💨 👏 https://t.co/BmEwgRleUN
Paul Simon, David Crosby, and Graham Nash performing a cover of the Beatles’ hit, 'Here Comes the Sun' 🕊🌹 RIP David Crosby 💔 https://t.co/zKb3hOOcnY
Key Insights & Takeaways
The account frequently shares content related to iconic musicians and films, which likely drives engagement. Tributes to deceased artists are well-received, suggesting a strong emotional connection with the audience. Sharing behind-the-scenes or notable events, such as a director watching a film multiple times, adds value and curiosity.
Strengths
- + Established follower base of 24,865
- + 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 @FarOutMag reveals an growing Twitter presence with 24,865 followers. The account demonstrates a content-creator strategy, averaging 7.5 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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