A$AP MOB
#RIPYAMS #RIPJSCOTT #RIPPRESS #RIPCHYNNA #RIPJIGGYJOSH. info@asapmob.com
635,188
Followers
9,361
Following
14,005
Tweets
1,408.1
Avg Engagement
756
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ASAPMOB'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:2011-10-20
- Verification:No
- Location:WORLDWIDE
Data Summary
- Tweets Analyzed:3,185
- Avg Likes per Tweet:308.2
- Avg Retweets per Tweet:1,099.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,185 tweetsThe account consistently receives high engagement, with an average of 45,884 likes and 7,353 retweets per tweet, indicating strong community interaction.
308.2
Avg Likes/Tweet
1,099.9
Avg Retweets/Tweet
981,604
Total Likes
3,503,317
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
35
Median Retweets
258
75th Percentile
305,561
Top Tweet
2.22
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
18.6%
Original
1.7%
Replies
78.8%
Retweets
1.0%
Quotes
0.0%
Threads
0.4%
With Media
78.5%
With Links
15.8%
With #Tags
94.2%
With @Mentions
26.8%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.7%
Weekday Posts
19.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,185 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 2,510 retweets (79% 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 3,185 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 interested in hip-hop, music history, and cultural figures. They engage with content that honors and reflects on the legacy of key artists and events.
Average
Audience Quality
25.7%
Suspicion Index
28.0%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.1%
Empty Bio
31.5%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
60.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
20.9%
<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.
29,989,882
Total Potential Reach
19
Median Follower Reach
96
75th Percentile Reach
3.9%
>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).
44.8%
Creators
22,421 accounts
23.7%
Consumers
11,844 accounts
31.5%
Dormant
15,735 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):
413
Verified Followers
0.41% of total
12,406
Protected Accounts
12.28% of total
4 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 |
|---|---|---|---|
| @justinbieber | 113,103,293 | Singer | Music, Justice, Album |
| @JohnCena | 14,105,212 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MissyElliott | 7,048,281 | Musician | GOD, AVANT GARDE, COOLOFF |
| @Pornhub | 3,691,066 | Adult Entertainment | porn, videos, models |
| @G_Eazy | 3,272,379 | Rapper | music, fashion, lifestyle |
| @oemputecido | 2,787,606 | Unknown | ,puto,perdido,2018 |
| @SoundCloud | 2,293,008 | Musician | Music, Fair pay, Fan-powered royalties |
| @jefrinichol | 1,275,216 | - | - |
| @Rap | 1,049,055 | Entertainment | Breaking News, Music Updates, Exclusive Content |
| @desusnice | 1,012,560 | Author | comedy, podcasting, basketball |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,580
Followers With Bio
35,418
Followers Without Bio
64.93%
% With Bio
35.07%
% 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 3,185 analyzed1,220,629
Combined Engagement
275,784
Total Likes
944,845
Total Retweets
244,126
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
https://t.co/jerL831iD2
RT @rihanna: . https://t.co/7oCnFsZH5U
RT @JordanUhl: Who is this serving? Who is this protecting? https://t.co/IK8DkwLLUT
RT @rihanna: #ENDSARS 🇳🇬 https://t.co/59lrs8JnDA
RT @mentnelson: The whole country needs to stop right now and listen to Killer Mike. He’s verbalizing what a lot of us don’t know how to ex…
Key Insights & Takeaways
The account frequently references notable figures and events in hip-hop, which likely drives engagement and nostalgia among followers. The use of location tags and specific dates suggests a focus on community and historical context within the music scene. The account's verified status is low, which may indicate a focus on organic growth and community connection over brand validation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 635,188
- + 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 @ASAPMOB reveals an exceptionally influential Twitter presence with 635,188 followers. The account demonstrates a content-creator strategy, averaging 1,408.1 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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