Jae5
Producer/Engineer • Management: @2K_management
102,121
Followers
934
Following
34,799
Tweets
2,081.4
Avg Engagement
58
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JAE5_'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:2011-05-22
- Verification:No
- Location:Studio
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:440.4
- Avg Retweets per Tweet:1,641.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,146 tweetsTheir tweets receive high average likes and retweets, indicating strong audience interaction and interest in their content.
440.4
Avg Likes/Tweet
1,641.0
Avg Retweets/Tweet
1,385,421
Total Likes
5,162,649
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
42
Median Retweets
725
75th Percentile
658,525
Top Tweet
20.38
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
15.4%
Original
8.1%
Replies
56.0%
Retweets
20.6%
Quotes
0.0%
Threads
0.1%
With Media
66.5%
With Links
6.4%
With #Tags
66.8%
With @Mentions
46.9%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.3%
Weekday Posts
31.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 1,762 retweets (56% 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 3,146 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 followersTheir audience likely includes music producers, artists, and fans interested in hip-hop and electronic music.
Average
Audience Quality
25.3%
Suspicion Index
25.9%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
27.9%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
57.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
16.0%
<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.
5,415,425
Total Potential Reach
36
Median Follower Reach
150
75th Percentile Reach
4.2%
>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).
42.0%
Creators
4,204 accounts
30.1%
Consumers
3,005 accounts
27.9%
Dormant
2,791 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):
38
Verified Followers
0.38% of total
459
Protected Accounts
4.59% of total
2 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 |
|---|---|---|---|
| @r2bees | 1,011,011 | Musician | Music, Album, Ghana |
| @THE_THEO_FORD | 472,618 | - | - |
| @460k_ | 460,433 | - | - |
| @madeintyo | 402,497 | Rapper | Music, Tokyo, Yokohama |
| @TandMHD | 247,835 | Music Producer | Music, Production, TV |
| @Kelvin_Alaneme | 80,152 | Medicine | Medicine, Tech, Relocation |
| @carlaprataoff | 69,022 | - | - |
| @wida_vision | 53,732 | - | - |
| @IAmJacobBush | 53,292 | - | - |
| @8jahseh | 46,756 | Musician | Music, Fashion, Art |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,422
Followers With Bio
3,578
Followers Without Bio
64.22%
% With Bio
35.78%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,146 analyzed1,064,373
Combined Engagement
0
Total Likes
1,064,373
Total Retweets
212,875
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: Next I’m buying Coca-Cola to put the cocaine back in
RT @edosartistry: The Setup. The Shot https://t.co/OIbSlK3E2O
RT @RexChapman: The international sign for HELP is demonstrated here. Please learn it and pass it along... https://t.co/hCTtG8AcN0
RT @vvs_the_great: Just a reminder: The murderer of George Floyd - Derek Chauvin will stand trial tomorrow MARCH, 8 2021. Keep the public pressure for justice going! https://t.co/XlWz6gGMpp
RT @i_am_Gwingy: Fuuuuuuuuuuuck🤯🤯🤯🤯🤯🤯🤯 https://t.co/cXiqzt4HYZ
Key Insights & Takeaways
They frequently share updates about their music releases and collaborations. They leverage their platform to announce new projects and engage with fans. Their content often includes links to music, suggesting a focus on promoting their work.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 102,121
- + 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 @JAE5_ reveals an exceptionally influential Twitter presence with 102,121 followers. The account demonstrates a content-creator strategy, averaging 2,081.4 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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