Flight
Walking W Pt .2 OUT NOW https://open.spotify.com/artist/5e4gmiVV4XkRfnXhqRBEOk?si=9d88Wjc7Rv2iDf4vg3_Rcw
624,777
Followers
289
Following
17,215
Tweets
2,277.7
Avg Engagement
185
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Flight23White'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:2013-06-28
- Verification:No
- Location:Venus
Data Summary
- Tweets Analyzed:3,132
- Avg Likes per Tweet:2,088.9
- Avg Retweets per Tweet:188.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,132 tweetsTheir tweets receive high engagement, with an average of 52,878 likes and 5,197 retweets per post.
2,088.9
Avg Likes/Tweet
188.9
Avg Retweets/Tweet
6,542,336
Total Likes
591,489
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
256
Median Likes
20
Median Retweets
1,344
75th Percentile
113,583
Top Tweet
3.65
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
81.4%
Original
0.7%
Replies
10.3%
Retweets
7.5%
Quotes
0.0%
Threads
0.1%
With Media
51.4%
With Links
5.4%
With #Tags
31.8%
With @Mentions
32.2%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.73
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.0%
Weekday Posts
24.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,132 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 323 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 3,132 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 followersTheir audience appears to be interested in sports, self-expression, and motivational content.
Average
Audience Quality
29.4%
Suspicion Index
38.4%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.4%
Empty Bio
41.8%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
66.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
28.4%
<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.
17,654,157
Total Potential Reach
7
Median Follower Reach
27
75th Percentile Reach
1.4%
>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).
31.6%
Creators
15,789 accounts
26.6%
Consumers
13,298 accounts
41.8%
Dormant
20,913 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):
260
Verified Followers
0.26% of total
10,106
Protected Accounts
10.01% of total
3 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 | 14,105,326 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Polo_Capalot | 3,456,172 | Rapper | Hip Hop, Success, Ambition |
| @KEEMSTAR | 2,698,815 | YouTuber | Drama, News, Business |
| @DaequanLoco | 1,816,493 | Gamer | Fortnite, Gaming, Merch |
| @upblissed | 855,468 | - | - |
| @ModernWarzone | 779,566 | Gaming News | Gaming, Call of Duty, Warzone |
| @solalexasch | 678,489 | Musician | Music, Travel, Tattoos |
| @Jidion6 | 659,505 | - | - |
| @Trainwreckstv | 650,565 | Podcaster | Podcasting, Among Us, GFuel |
| @BreadBoi | 515,324 | Music Producer | Music, Bully, Rap |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,517
Followers With Bio
47,482
Followers Without Bio
52.99%
% With Bio
47.01%
% 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 3,132 analyzed390,453
Combined Engagement
350,942
Total Likes
39,511
Total Retweets
78,091
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
...... https://t.co/VF5wEBzG7Q
I’m good to late for all that✌🏾 https://t.co/vqvDssQLuK
Stop trynna fit in... Be yourself
Only one person can save team usa... https://t.co/jGXQdZYDP7
Its JUNNEEE
Key Insights & Takeaways
They emphasize authenticity and self-acceptance through their tweets. They often reference team USA, suggesting a focus on sports and national pride. Their content is likely aimed at inspiring and connecting with a broad audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 624,777
- + 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 @Flight23White reveals an exceptionally influential Twitter presence with 624,777 followers. The account demonstrates a content-creator strategy, averaging 2,277.7 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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