MAX
Tour Tickets/VIP https://linktr.ee/max
692,116
Followers
5,214
Following
1,538
Tweets
18,401.9
Avg Engagement
1,081
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MAXMusic'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:2010-02-26
- Verification:No
- Location:Hell's Kitchen, NYC
Data Summary
- Tweets Analyzed:1,415
- Avg Likes per Tweet:15,634.7
- Avg Retweets per Tweet:2,767.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,415 tweetsThe account consistently receives high engagement, indicating a loyal and active fanbase. The average likes and retweets suggest strong support for MAX's music and collaborations.
15,634.7
Avg Likes/Tweet
2,767.2
Avg Retweets/Tweet
22,123,098
Total Likes
3,915,600
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,034
Median Likes
96
Median Retweets
4,882
75th Percentile
1,407,482
Top Tweet
26.59
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
58.8%
Original
32.9%
Replies
4.0%
Retweets
4.4%
Quotes
0.0%
Threads
0.5%
With Media
54.6%
With Links
4.5%
With #Tags
39.9%
With @Mentions
19.1%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
1.11
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.5%
Weekday Posts
23.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,415 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 56 retweets (4% 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 1,415 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 is primarily K-pop fans and music enthusiasts interested in MAX and his collaborations. They are likely active on social media and engaged with music content.
Average
Audience Quality
27.8%
Suspicion Index
28.4%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.6%
Empty Bio
36.6%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
70.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
25.3%
<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.
25,427,131
Total Potential Reach
6
Median Follower Reach
47
75th Percentile Reach
2.7%
>1K followers
0.3%
>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).
42.1%
Creators
21,039 accounts
21.3%
Consumers
10,667 accounts
36.6%
Dormant
18,294 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):
216
Verified Followers
0.22% of total
11,586
Protected Accounts
11.59% 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 | 14,105,204 | Wrestler | Wrestling, Motivation, Self-promotion |
| @allkpop | 6,122,481 | Entertainment News | Kpop, Celebrity, Gossip |
| @weverseofficial | 4,865,657 | Social Media Manager | K-pop, Community, Entertainment |
| @bigtimerush | 3,272,510 | Music Band | Music, Band, New Release |
| @choi_bts2 | 1,613,246 | Fan Account | BTS, ARMY, Coffee |
| @SinghLions | 1,335,037 | Restaurateur | Food, Travel, Influencer |
| @hulu | 1,132,267 | Streaming Service | diversity, Hispanic, Latinx |
| @kellymarklive | 820,049 | TV Hosts | Entertainment, Talk Show, Morning TV |
| @NOH8Campaign | 801,902 | Activism | equality, bullying, discrimination |
| @Y1079FM | 716,113 | Radio Host | Music, Entertainment, Youth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,585
Followers With Bio
29,415
Followers Without Bio
70.58%
% With Bio
29.42%
% 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 1,415 analyzed4,305,783
Combined Engagement
3,524,713
Total Likes
781,070
Total Retweets
861,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
AGUST D (FEAT. MAX) - BURN IT (ACOUSTIC CLIP) https://t.co/ip7udCuIRB
MAX - “BLUEBERRY EYES” (FEAT. SUGA OF BTS) (OFFICIAL VIDEO) https://t.co/Uzxfyf1knZ https://t.co/JP0GvuyqBF
MY NEW BROTHER SUGA https://t.co/RqM9zHWSPY
SO EXCITED FOR “BE” 💜💛💜
“BURN IT” WITH MY BROTHER SUGA AKA AGUST D OUT NOW https://t.co/Tc0tr8I6YK
Key Insights & Takeaways
The account heavily promotes official music videos and collaborations, which likely drive engagement. The use of links to videos and clips suggests a focus on visual content and direct fan interaction. The bio emphasizes tour tickets and VIP access, indicating a strategy to monetize and engage fans through exclusive experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 692,116
- + 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 @MAXMusic reveals an exceptionally influential Twitter presence with 692,116 followers. The account demonstrates a content-creator strategy, averaging 18,401.9 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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