Jagged Edge
NEW SINGLE ----- Inseparable Video Link: https://www.youtube.com/watch?v=LDg55FAXtm8&feature=youtu.be
103,977
Followers
820
Following
9,564
Tweets
16.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Official_JE'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:2009-04-27
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:2,978
- Avg Likes per Tweet:3.9
- Avg Retweets per Tweet:12.9
- Followers Analyzed:10,999
Engagement Analysis
Based on 2,978 tweetsAverage likes and retweets suggest a moderate level of interaction. The audience is responsive to new content, particularly music videos and album announcements.
3.9
Avg Likes/Tweet
12.9
Avg Retweets/Tweet
11,613
Total Likes
38,274
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
8
75th Percentile
7,867
Top Tweet
0.16
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
39.7%
Original
18.0%
Replies
41.8%
Retweets
0.5%
Quotes
0.0%
Threads
0.9%
With Media
35.4%
With Links
30.8%
With #Tags
69.4%
With @Mentions
6.9%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,978 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 1,246 retweets (42% 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 2,978 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 10,999 followersThe audience appears to be music enthusiasts interested in new releases and visual content. They engage with links to videos and albums, indicating a preference for multimedia content.
Average
Audience Quality
23.5%
Suspicion Index
21.9%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.1%
Empty Bio
17.3%
<10 Tweets
19.9%
Mass Following (>2K)
0.0%
New (<90 days)
53.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
9.7%
<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.
33,074,962
Total Potential Reach
59
Median Follower Reach
235
75th Percentile Reach
7.5%
>1K followers
1.0%
>10K followers
0.4%
>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).
60.5%
Creators
6,654 accounts
22.2%
Consumers
2,444 accounts
17.3%
Dormant
1,901 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):
75
Verified Followers
0.68% of total
1,755
Protected Accounts
15.96% of total
8 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 |
|---|---|---|---|
| @Spotify | 10,186,177 | Music streaming | Music, Podcasts, Live audio |
| @questlove | 3,360,088 | Musician | music, drums, food |
| @THEREALSWIZZZ | 2,485,102 | Music Producer | Music, Art, Fashion |
| @Nicolette_Shea | 2,412,167 | Content Creator | OnlyFans, Creator, Model |
| @AustinCreedWins | 860,361 | Pro Wrestler | Pro wrestling, Greek mythology, SHINee |
| @Raekwon | 837,970 | Rapper | Music, Booking, Press |
| @SleepSkee | 707,792 | Musician | Music, Independent, Artist |
| @Ticketmaster | 614,198 | Ticketing | events, tickets, support |
| @IamMzilikazi | 550,136 | Musician | Pan-African music, Album, Rise |
| @djkingassassin | 467,544 | DJ | Music, Club, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,244
Followers With Bio
3,755
Followers Without Bio
65.86%
% With Bio
34.14%
% 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 2,978 analyzed21,214
Combined Engagement
0
Total Likes
21,214
Total Retweets
4,243
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @BarackObama: Retweet if you believe women deserve #EqualPay. No more wage discrimination.
RT @funnyortruth: What goes around comes around. Happy Karma Day.
RT @JoelOsteen: Your time is too valuable, your destiny too great, your future too bright to waste a single moment.
RT @lala: That's all I'm saying 💯😂 I just everything about @michelleobama there will never be another like her!!!!!!! https://t.co/GG2kroXxG1
RT @UncleRUSH: "Money cannot make you happy but happy can make u money" #SuperRich.
Key Insights & Takeaways
The account frequently promotes new music and videos, indicating a focus on content release. Verified accounts make up a small percentage, suggesting a mix of followers. Links to external content (YouTube, music platforms) are central to engagement.
Strengths
- + Established follower base of 103,977
- + 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 @Official_JE reveals an growing Twitter presence with 103,977 followers. The account demonstrates a content-creator strategy, averaging 16.8 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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