56,645
Followers
1,030
Following
11,379
Tweets
1,386.8
Avg Engagement
144
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarcusScribner'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:2012-10-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,208
- Avg Likes per Tweet:56.1
- Avg Retweets per Tweet:1,330.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,208 tweetsThe account maintains a high level of engagement, with tweets receiving consistent likes and retweets. The use of hashtags and links suggests an effort to amplify reach and encourage interaction.
56.1
Avg Likes/Tweet
1,330.7
Avg Retweets/Tweet
180,080
Total Likes
4,268,899
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
7
Median Retweets
84
75th Percentile
1,930,581
Top Tweet
24.48
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
27.5%
Original
1.8%
Replies
46.8%
Retweets
23.8%
Quotes
0.0%
Threads
0.7%
With Media
92.4%
With Links
54.8%
With #Tags
61.9%
With @Mentions
28.0%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.5%
Weekday Posts
11.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,208 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 1,502 retweets (47% 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 3,208 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 appears to be primarily young adults and teenagers, given the themes of identity and personal growth. There is also a focus on Black culture and community.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.6%
No URL
100.0%
<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.
26,667,454
Total Potential Reach
18
Median Follower Reach
101
75th Percentile Reach
4.5%
>1K followers
0.6%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,299
Protected Accounts
12.99% 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 | 14,090,504 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TeenVogue | 3,250,618 | Fashion Editor | Fashion, Beauty, Empowerment |
| @younghollywood | 2,282,024 | Entertainment | Celebrities, Entertainment, Pop Culture |
| @NOH8Campaign | 800,104 | Activism | equality, bullying, discrimination |
| @PauleyP | 688,316 | Actress | RescuePets, Jesus, BLM |
| @JustineSkye | 643,182 | - | - |
| @TIFF_NET | 526,865 | Film Festival | Cinema, Love, Canada |
| @HereOnNeptune | 395,883 | Adult entertainer | Adult content, bookings, LGBTQ+ |
| @ameliexrose | 366,984 | Singer | singing, activism, positivity |
| @tamalajones | 186,644 | Actress | Actress, Comedy, Drama |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,217
Followers With Bio
3,783
Followers Without Bio
62.17%
% With Bio
37.83%
% 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 3,208 analyzed2,962,644
Combined Engagement
0
Total Likes
2,962,644
Total Retweets
592,529
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @MatthewACherry: Chadwick was really out here shooting all of these huge action movies while fighting stage 4 colon cancer. Man. Strong isn’t even the word.
RT @JordanPeele: I just won an Oscar. WTF?!?
RT @chloexhalle: dream come true... 🧜🏽♀️🌊 https://t.co/sndjYUS6wO
Key Insights & Takeaways
The account frequently shares personal milestones and emotional reflections, indicating a focus on authenticity and connection. There is a strong emphasis on Black identity and community, with references to popular culture and social issues. The use of hashtags and links suggests an intent to engage with broader conversations and expand the audience reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,645
- + 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 @MarcusScribner reveals an exceptionally influential Twitter presence with 56,645 followers. The account demonstrates a content-creator strategy, averaging 1,386.8 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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