MK (Marc Kinchen)
TAKE MY CHANCE OUT NOW ⬇️ 🎲
152,590
Followers
3,759
Following
19,917
Tweets
158.7
Avg Engagement
463
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarcKinchen'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:2009-03-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,143
- Avg Likes per Tweet:89.4
- Avg Retweets per Tweet:69.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,143 tweetsMarcKinchen's tweets consistently receive high engagement, with an average of 1,262 retweets. His use of multimedia and trending topics helps drive interaction.
89.4
Avg Likes/Tweet
69.3
Avg Retweets/Tweet
280,899
Total Likes
217,855
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
3
Median Retweets
76
75th Percentile
107,775
Top Tweet
1.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
43.0%
Original
4.3%
Replies
32.6%
Retweets
20.0%
Quotes
0.0%
Threads
0.3%
With Media
75.4%
With Links
16.1%
With #Tags
60.4%
With @Mentions
65.1%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.8%
Weekday Posts
20.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,143 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 1,025 retweets (33% 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 3,143 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 followersHis audience appears to be young adults interested in music, entertainment, and casual, relatable content. They engage actively with his posts, indicating a loyal and interactive fan base.
Good
Audience Quality
16.4%
Suspicion Index
23.8%
Low-Quality %
141
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
15.8%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
27.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.9%
No URL
10.1%
<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.
99,918,949
Total Potential Reach
141
Median Follower Reach
416
75th Percentile Reach
9.5%
>1K followers
1.3%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.1%
Creators
34,069 accounts
16.1%
Consumers
8,047 accounts
15.8%
Dormant
7,884 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):
587
Verified Followers
0.58% of total
15,981
Protected Accounts
15.82% of total
9 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 |
|---|---|---|---|
| @billboard | 14,112,624 | Media | music, charts, news |
| @JohnCena | 14,101,334 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DavidLuiz_4 | 8,610,262 | Athlete | Football, Fitness, Lifestyle |
| @elliegoulding | 6,243,870 | Singer | Music, Fitness, Strength |
| @introvertsmemes | 6,192,345 | Student | Memes, College, Comedy |
| @Skrillex | 5,857,132 | Musician | Music, DJing, Social Media |
| @tiesto | 4,695,543 | DJ | Music, DJing, Business |
| @FreakyTheory | 3,640,988 | Motivational Speaker | Motivation, Wealth, Living |
| @JoeyEssex_ | 3,073,726 | Reality TV Star | Reality TV, Fashion, Business |
| @Charlottegshore | 2,777,156 | Reality TV Star | Reality TV, Tattoos, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,444
Followers With Bio
39,550
Followers Without Bio
60.84%
% With Bio
39.16%
% 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 3,143 analyzed161,592
Combined Engagement
15,108
Total Likes
146,484
Total Retweets
32,318
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @blackmirror: We know how this goes. https://t.co/1nTDxuOrlD
RT @GRRM: 2020 was directed by me.
Last night @Creamfields 🙏🏽 https://t.co/R2M42b6ZlN
RT @nicolemhewittx: When mk played 17, uuuuunreal https://t.co/EfEXqjzQvq
ITS FRIDAY THENNNNN🕺🏾🤣 🎼Push the feeling on MK dub of doom 👨🏻💻🤺 https://t.co/JwwHzfeW72
Key Insights & Takeaways
He frequently references music events and tracks, indicating a strong connection to the music scene. His content is lighthearted and humorous, appealing to a broad audience. He uses emojis and slang to create a casual, approachable tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 152,590
- + 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 @MarcKinchen reveals an well-established Twitter presence with 152,590 followers. The account demonstrates a content-creator strategy, averaging 158.7 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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