Sam Morril
Stand-up Comic. Knicks fan. See me in your city: https://punchup.live/sammorril/tickets
199,666
Followers
925
Following
5,225
Tweets
951.2
Avg Engagement
703
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sammorril'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:2008-12-05
- Verification:No
- Location:New York City
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:641.4
- Avg Retweets per Tweet:309.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,219 tweetsHis tweets receive high engagement, averaging 42,614 likes and 4,207 retweets, indicating a highly interactive and loyal fanbase.
641.4
Avg Likes/Tweet
309.7
Avg Retweets/Tweet
2,064,811
Total Likes
996,981
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
160
Median Likes
10
Median Retweets
629
75th Percentile
309,895
Top Tweet
4.76
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
48.6%
Original
21.3%
Replies
21.1%
Retweets
8.9%
Quotes
0.0%
Threads
0.1%
With Media
42.9%
With Links
2.0%
With #Tags
48.1%
With @Mentions
3.8%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.44
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 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 680 retweets (21% 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 3,219 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 likely includes comedy enthusiasts and those interested in cultural commentary, with a strong presence in urban areas.
Average
Audience Quality
24.2%
Suspicion Index
32.9%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.0%
Empty Bio
26.1%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
53.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
17.9%
<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.
66,744,873
Total Potential Reach
30
Median Follower Reach
133
75th Percentile Reach
4.0%
>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).
53.8%
Creators
26,890 accounts
20.2%
Consumers
10,081 accounts
26.1%
Dormant
13,029 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):
1,291
Verified Followers
1.28% of total
12,142
Protected Accounts
12.02% of total
6 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 | 14,100,270 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheDailyShow | 9,437,565 | Comedy Show | Comedy, News, Activism |
| @jimmycarr | 6,714,981 | Comedian | tour tickets, book, Moment House |
| @jackwhitehall | 6,055,951 | Actor/Comedian | Comedy, Acting, Entertainment |
| @NickCannon | 4,610,257 | Entertainer | Radio, Talk Show, Entertainment |
| @pandji | 1,660,616 | Stand-Up Comedian | Stand-Up Comedy, COMIKA, Creating Laughter |
| @BarstoolBigCat | 1,644,626 | Sports commentator | Sports, Podcasting, Gambling |
| @latelateshow | 1,554,057 | Entertainment | Entertainment, Comedy, Music |
| @Edelman11 | 1,532,348 | Football Player | Football, Patriot, Instagram |
| @hasanthehun | 1,396,048 | Streamer | thirst traps, anarchy, streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,141
Followers With Bio
44,857
Followers Without Bio
55.59%
% With Bio
44.41%
% 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 3,219 analyzed678,080
Combined Engagement
223,531
Total Likes
454,549
Total Retweets
135,616
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @eastfeed: NEVER FORGET Kalief Browder. A young black man who sat on Rikers Island for 3 YEARS without trial for a backpack he DIDN’T st…
Jussie Smollett is saying Will Smith hit him too
Feels like we are all in prison but the prison in Goodfellas where you can still make pasta
Will Smith just won an award for being the best actor, but he couldn’t act like a human being during a joke.
Key Insights & Takeaways
Sammorril often uses celebrity scandals as comedic material, highlighting public interest in such topics. He frequently references popular culture and media, which resonates with his audience. His humor is grounded in relatable experiences, making his content accessible and engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 199,666
- + 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 @sammorril reveals an well-established Twitter presence with 199,666 followers. The account demonstrates a content-creator strategy, averaging 951.2 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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