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Beats, NY Rangers, PR and Marketing
61,501
Followers
14,400
Following
590
Tweets
6,357.4
Avg Engagement
151
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @acestarofficial'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:2009-03-30
- Verification:No
- Location:NY
Data Summary
- Tweets Analyzed:584
- Avg Likes per Tweet:4.8
- Avg Retweets per Tweet:6,352.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 584 tweetsThe account has an average of 121 likes and 51 retweets per tweet, indicating a moderate level of engagement. The verified status suggests credibility and trust among followers.
4.8
Avg Likes/Tweet
6,352.6
Avg Retweets/Tweet
2,820
Total Likes
3,709,899
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
22
75th Percentile
2,971,534
Top Tweet
103.37
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
29.5%
Original
30.0%
Replies
35.1%
Retweets
5.5%
Quotes
0.0%
Threads
0.0%
With Media
37.3%
With Links
21.7%
With #Tags
83.4%
With @Mentions
9.9%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 584 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 205 retweets (35% 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 584 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 followersThe audience likely includes music producers, artists, and fans of hip-hop and R&B. They are interested in beat production and collaborations with established artists.
Good
Audience Quality
13.9%
Suspicion Index
6.1%
Low-Quality %
568
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
11.0%
Empty Bio
3.0%
<10 Tweets
40.6%
Mass Following (>2K)
0.0%
New (<90 days)
8.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
46.9%
No URL
1.2%
<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.
54,030,203
Total Potential Reach
568
Median Follower Reach
1,306
75th Percentile Reach
32.9%
>1K followers
5.1%
>10K followers
1.6%
>50K followers
0.8%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
89.0%
Creators
8,899 accounts
8.1%
Consumers
806 accounts
3.0%
Dormant
295 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):
207
Verified Followers
2.07% of total
540
Protected Accounts
5.4% 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 |
|---|---|---|---|
| @DJPaulyD | 3,535,527 | DJ | Music, DJing, Booking |
| @benlandis | 2,823,990 | - | - |
| @KameronBennett | 1,808,544 | DJ | Music, DJing, Booking |
| @JASMINEVILLEGAS | 1,528,857 | Singer | Music, Dreaming, Life |
| @AlaattinCAGIL | 1,389,671 | Social Media Specialist | Social Media, Media Consulting, Author |
| @JDaIey | 1,244,693 | - | - |
| @CSuiteConfess | 987,618 | Executive Coach | #MeToo, Executives, Navigating |
| @ZachBoychuk | 825,638 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @sonicdrum | 757,401 | News Curator | News, Funny, Mutual Follow |
| @CalvinHelin | 581,419 | Author | empowerment, responsibility, self-reliance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,896
Followers With Bio
1,104
Followers Without Bio
88.96%
% With Bio
11.04%
% 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 584 analyzed3,641,323
Combined Engagement
0
Total Likes
3,641,323
Total Retweets
728,265
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @elonmusk: Next I’m buying Coca-Cola to put the cocaine back in
RT @NYRangers: OFFICIAL: #NYR have agreed to terms with free agent forward Artemi Panarin. https://t.co/EoptmQvZfL
RT @NYRangers: IT'S SHOWTIME ON BROADWAY. https://t.co/9w0SqD6oDd
RT @Hartsy43: I have a lot of respect for all referees and linesman but if I get enough retweet’s I might try out to be one!
Key Insights & Takeaways
The account primarily shares beat releases and collaborations with well-known artists. It leverages verified status to build credibility and attract followers. The content is focused on music production and promotion within the hip-hop and R&B genres.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,501
- + High community engagement through conversations
- + 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 @acestarofficial reveals an exceptionally influential Twitter presence with 61,501 followers. The account demonstrates a conversation-first approach, averaging 6,357.4 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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