Ish Smeezy
“Hey Siri play The Royal Mob” ™️🔥
167,714
Followers
148,988
Following
39,997
Tweets
288.9
Avg Engagement
554
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RoyalMobISH'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:2009-05-29
- Verification:No
- Location:Bronx, NY
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:196.5
- Avg Retweets per Tweet:92.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,233 tweetsThe account consistently receives high engagement, with an average of 12,513 likes and 4,828 retweets per tweet. This suggests a highly interactive and loyal follower base.
196.5
Avg Likes/Tweet
92.4
Avg Retweets/Tweet
635,264
Total Likes
298,684
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
115
Median Likes
40
Median Retweets
282
75th Percentile
35,421
Top Tweet
1.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.2%
Original
20.2%
Replies
3.0%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
20.9%
With Links
4.4%
With #Tags
24.5%
With @Mentions
29.8%
With Emojis
61
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 96 retweets (3% 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 3,233 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 appears to be young adults interested in relatable and humorous content. They are likely looking for both entertainment and emotional connection through the account's messages.
Good
Audience Quality
12.9%
Suspicion Index
12.9%
Low-Quality %
303
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
19.6%
Empty Bio
10.9%
<10 Tweets
19.5%
Mass Following (>2K)
0.0%
New (<90 days)
15.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.9%
No URL
6.1%
<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.
153,399,659
Total Potential Reach
303
Median Follower Reach
1,045
75th Percentile Reach
25.9%
>1K followers
3.7%
>10K followers
0.7%
>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).
77.1%
Creators
38,530 accounts
12.1%
Consumers
6,031 accounts
10.9%
Dormant
5,439 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):
879
Verified Followers
0.87% of total
10,636
Protected Accounts
10.53% 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 |
|---|---|---|---|
| @JohnCena | 14,100,754 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,696,370 | Chef | Cooking, Food, Restaurants |
| @NeYoCompound | 6,375,947 | Singer | Music, Acting, Fatherhood |
| @DJPaulyD | 3,598,596 | DJ | Music, DJing, Booking |
| @AnselElgort | 3,123,646 | Actor | Actor, Music, Travel |
| @Variety | 2,911,861 | Entertainment industry | Entertainment, Business, Variety |
| @benlandis | 2,847,078 | - | - |
| @erigganewmoney | 2,568,953 | Rapper | Music, Album, September |
| @Karabo_Mokgoko | 2,349,861 | Digital Entrepreneur | Digital Entrepreneur, Trendsetter, Globetrotter |
| @alispagnola | 2,348,084 | Musician | Music, Comedy, Fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
79,407
Followers With Bio
21,580
Followers Without Bio
78.63%
% With Bio
21.37%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,233 analyzed135,070
Combined Engagement
99,101
Total Likes
35,969
Total Retweets
27,014
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
The only reason why I believe in love is because of the way I love.
You’re getting distracted again.. Focus.
Soon as you getting yo life together a hoe wanna text u wyd
Ok > Arguing
Them cut offs be about peace, ain’t no beef. 💯
Key Insights & Takeaways
The account uses a mix of humor and personal reflection to engage followers. It often touches on themes of love, distraction, and self-improvement. The use of slang and casual language makes the content feel authentic and approachable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 167,714
- + 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 @RoyalMobISH reveals an well-established Twitter presence with 167,714 followers. The account demonstrates a content-creator strategy, averaging 288.9 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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