Scott Isbell
🇺🇸 Wu-Tang Management Recording Artist - Actor - Michael Jackson 🇺🇸
290,285
Followers
267,994
Following
81,118
Tweets
769.7
Avg Engagement
688
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @scottisbell_'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:2009-08-13
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3,220
- Avg Likes per Tweet:13.0
- Avg Retweets per Tweet:756.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,220 tweetsThe account maintains moderate engagement with an average of 343 likes and 63 retweets per tweet. The content often sparks emotional responses, particularly around personal and cultural topics.
13.0
Avg Likes/Tweet
756.6
Avg Retweets/Tweet
41,994
Total Likes
2,436,393
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
46
75th Percentile
339,779
Top Tweet
2.65
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
21.6%
Original
37.7%
Replies
38.2%
Retweets
2.5%
Quotes
0.0%
Threads
0.7%
With Media
28.6%
With Links
6.9%
With #Tags
79.7%
With @Mentions
5.8%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.74
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.5%
Weekday Posts
19.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,220 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 1,229 retweets (38% 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 3,220 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 includes fans of Wu-Tang Clan, Michael Jackson enthusiasts, and individuals interested in entertainment and social commentary. They also engage with a broader public interested in current events and personal stories.
Average
Audience Quality
20.2%
Suspicion Index
15.2%
Low-Quality %
577
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
18.9%
Empty Bio
14.4%
<10 Tweets
40.3%
Mass Following (>2K)
0.0%
New (<90 days)
22.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.8%
No URL
11.4%
<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.
347,291,948
Total Potential Reach
577
Median Follower Reach
2,424
75th Percentile Reach
41.0%
>1K followers
9.5%
>10K followers
2.0%
>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).
77.1%
Creators
38,554 accounts
8.4%
Consumers
4,222 accounts
14.4%
Dormant
7,224 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):
2,885
Verified Followers
2.86% of total
7,868
Protected Accounts
7.79% 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 |
|---|---|---|---|
| @ParisHilton | 16,825,593 | Entrepreneur | business, updates, media |
| @JohnCena | 14,103,034 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DONJAZZY | 7,610,640 | Music Producer | Music, Mavin, Activated |
| @PostMalone | 7,012,477 | Musician | Music, Tattoos, Beer |
| @Naija_PR | 3,885,058 | News Aggregator | - |
| @wyclef | 3,733,628 | Musician | music, media, management |
| @MCHammer | 3,182,501 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @MoeedNj | 3,041,769 | Journalist | Politics, Journalism, Media |
| @Karabo_Mokgoko | 2,349,162 | Digital Entrepreneur | Digital Entrepreneur, Trendsetter, Globetrotter |
| @Tyson_Fury | 2,247,966 | Boxer | Boxing, Fitness, Motivation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,804
Followers With Bio
32,180
Followers Without Bio
68.13%
% With Bio
31.87%
% 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 3,220 analyzed811,278
Combined Engagement
0
Total Likes
811,278
Total Retweets
162,256
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
RT @elonmusk: Listen, I can’t do miracles ok https://t.co/z7dvLMUXy8
RT @Twitter: we are working on an edit button
RT @elonmusk: 🎶 let the good times roll 🎶
RT @HOLLAND_vvv: Last night, I was walking around Itaewon with my manager and a friend. Suddenly, a stranger man approached me and hit me o…
Key Insights & Takeaways
The user frequently shares personal and emotional content, often related to loss and tragedy. They engage with themes of cultural legacy and public figures. Their tweets reflect a blend of personal reflection and public commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 290,285
- + 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 @scottisbell_ reveals an well-established Twitter presence with 290,285 followers. The account demonstrates a conversation-first approach, averaging 769.7 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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