Elliott Morgan
Comedian and PhD candidate. Can you even imagine??
119,550
Followers
1,180
Following
16,005
Tweets
847.4
Avg Engagement
546
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ElliottcMorgan'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:2010-08-15
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,181
- Avg Likes per Tweet:156.2
- Avg Retweets per Tweet:691.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,181 tweetsElliottcMorgan's tweets receive strong engagement, averaging 6,619 likes and 244 retweets, indicating a loyal and interactive follower base.
156.2
Avg Likes/Tweet
691.2
Avg Retweets/Tweet
496,965
Total Likes
2,198,603
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
35
Median Likes
2
Median Retweets
181
75th Percentile
175,856
Top Tweet
7.09
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
37.1%
Original
22.8%
Replies
24.1%
Retweets
16.1%
Quotes
0.0%
Threads
0.6%
With Media
57.8%
With Links
6.1%
With #Tags
50.7%
With @Mentions
7.9%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.61
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.1%
Weekday Posts
22.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,181 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 766 retweets (24% 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 3,181 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 fans of comedy and those interested in academic pursuits, with a focus on personal and humorous storytelling.
Good
Audience Quality
19.7%
Suspicion Index
21.6%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.4%
Empty Bio
17.0%
<10 Tweets
7.9%
Mass Following (>2K)
0.0%
New (<90 days)
49.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.4%
No URL
9.8%
<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.
97,293,486
Total Potential Reach
35
Median Follower Reach
121
75th Percentile Reach
3.2%
>1K followers
0.8%
>10K followers
0.4%
>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).
61.1%
Creators
30,527 accounts
22.0%
Consumers
10,979 accounts
17.0%
Dormant
8,494 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):
261
Verified Followers
0.26% of total
12,842
Protected Accounts
12.72% of total
10 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 |
|---|---|---|---|
| @chrissyteigen | 12,858,795 | - | - |
| @enews | 11,889,971 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @shanedawson | 8,194,165 | YouTuber | Merchandise, YouTube, Comedy |
| @tyleroakley | 5,185,817 | Influencer | pop-culture, podcasting, vlogging |
| @MTVNEWS | 4,998,576 | Entertainment | Entertainment, News, Social |
| @Nickelodeon | 3,884,199 | Entertainment | TV shows, streaming, entertainment |
| @DaneCook | 2,681,061 | Comedian | comedy, entertainment, humor |
| @smosh | 2,566,990 | Comedy duo | Comedy, Entertainment, Gaming |
| @h3h3productions | 2,301,622 | Podcaster | Comedy, Podcasting, Entertainment |
| @anthonypadilla | 2,283,545 | YouTuber | YouTube, Comedy, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,805
Followers With Bio
37,191
Followers Without Bio
63.18%
% With Bio
36.82%
% 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 3,181 analyzed718,695
Combined Engagement
0
Total Likes
718,695
Total Retweets
143,739
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @mentnelson: The whole country needs to stop right now and listen to Killer Mike. He’s verbalizing what a lot of us don’t know how to ex…
RT @dog_rates: The Dogs of 2018 https://t.co/vxbahkstHe
RT @anita1956: I just died. I’m tweeting while dead. https://t.co/5tuhIdZfXG
RT @ReckItRalf: When you’re waiting for your sandwich and Doritos after coming out of the pool https://t.co/uqd0AzhR65
RT @cozzi_cat: So my possum living in the grill had babies https://t.co/Jc5iDkhmL3
Key Insights & Takeaways
ElliottcMorgan's content often blends humor with personal milestones, creating a relatable and authentic connection with followers. The use of personal stories, such as weddings and academic life, helps build a strong emotional bond with the audience. High engagement suggests that followers appreciate the mix of comedy and candid life updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 119,550
- + 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 @ElliottcMorgan reveals an well-established Twitter presence with 119,550 followers. The account demonstrates a content-creator strategy, averaging 847.4 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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