Chap
https://4dgaming.com/
624,220
Followers
994
Following
3,853
Tweets
1,507.5
Avg Engagement
278
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChapFN'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:2018-01-24
- Verification:No
- Location:New Jersey, USA
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:1,409.7
- Avg Retweets per Tweet:97.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsChapFN's tweets receive high engagement, averaging 19,212 likes and 1,612 retweets per tweet. This suggests a highly interactive and popular audience that responds well to humorous and viral content.
1,409.7
Avg Likes/Tweet
97.7
Avg Retweets/Tweet
4,574,623
Total Likes
317,114
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
614
Median Likes
5
Median Retweets
1,985
75th Percentile
68,893
Top Tweet
2.41
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
49.9%
Original
43.1%
Replies
6.6%
Retweets
0.4%
Quotes
0.0%
Threads
0.2%
With Media
37.9%
With Links
1.8%
With #Tags
54.0%
With @Mentions
4.1%
With Emojis
61
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 214 retweets (7% 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 3,245 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 likely enjoys entertainment, memes, and viral content, with a preference for humor and relatable moments. They are engaged with trending topics and popular accounts.
Average
Audience Quality
31.0%
Suspicion Index
32.4%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
41.9%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
80.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
26.0%
<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.
34,364,236
Total Potential Reach
5
Median Follower Reach
24
75th Percentile Reach
1.5%
>1K followers
0.3%
>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).
29.1%
Creators
14,527 accounts
29.0%
Consumers
14,517 accounts
41.9%
Dormant
20,956 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):
330
Verified Followers
0.33% of total
5,112
Protected Accounts
5.06% 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 | 14,105,322 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Mongraal | 2,136,092 | Professional Gamer | Fortnite, FaZe Clan, Pro |
| @Punztw | 1,759,273 | Streamer | Gaming, Streaming, Art |
| @MooSnuckel | 1,239,491 | Gamer | Video games, fun, business |
| @LeBronJames | 1,008,381 | - | - |
| @ZachBoychuk | 829,898 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @TaliaMar | 801,989 | Singer | Music, Singing, New single |
| @NOH8Campaign | 801,890 | Activism | equality, bullying, discrimination |
| @QuarterJade | 783,780 | Streamer | Video games, streaming, contact |
| @Clayster | 748,523 | Professional Gamer | Call of Duty, eSports, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,839
Followers With Bio
38,159
Followers Without Bio
62.22%
% With Bio
37.78%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,245 analyzed213,917
Combined Engagement
73,271
Total Likes
140,646
Total Retweets
42,783
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @pattymo: RIHANNA LOOK OUT https://t.co/WU6gwLCa6y
RT @Edgeyy: this is by far the best person ive ever hosted https://t.co/MpGRY3VstX
Joined @Cloud9 😎
chapter 2 be like https://t.co/xYSzHUmoNU
FREE AGENT... LOL
Key Insights & Takeaways
The user frequently interacts with popular accounts like @Cloud9, indicating a focus on trending and viral content. Their top tweets include humor and relatable moments, which likely drive engagement. They maintain a balance between personal and public content, suggesting a mix of authenticity and entertainment.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 624,220
- + 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 @ChapFN reveals an exceptionally influential Twitter presence with 624,220 followers. The account demonstrates a content-creator strategy, averaging 1,507.5 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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