Morgan Murphy
I do comedy. I like sports.
178,262
Followers
2,475
Following
14,929
Tweets
288.0
Avg Engagement
2,949
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @morgan_murphy'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:2009-02-17
- Verification:No
- Location:los angeles
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:132.0
- Avg Retweets per Tweet:156.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsHer tweets receive high engagement, averaging 35,921 likes and 2,958 retweets, indicating a strong and active fan base.
132.0
Avg Likes/Tweet
156.0
Avg Retweets/Tweet
428,363
Total Likes
506,068
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
30
75th Percentile
236,759
Top Tweet
1.62
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
14.5%
Original
69.7%
Replies
10.9%
Retweets
4.9%
Quotes
0.0%
Threads
0.4%
With Media
26.3%
With Links
2.9%
With #Tags
61.0%
With @Mentions
26.6%
With Emojis
128
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.83
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.7%
Weekday Posts
32.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 353 retweets (11% 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 3,245 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 followersHer audience likely enjoys humor, sports, and everyday observations, with a preference for witty and engaging content.
Average
Audience Quality
26.8%
Suspicion Index
28.9%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.2%
Empty Bio
26.7%
<10 Tweets
19.0%
Mass Following (>2K)
0.0%
New (<90 days)
56.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
19.6%
<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.
110,050,587
Total Potential Reach
52
Median Follower Reach
239
75th Percentile Reach
8.9%
>1K followers
1.6%
>10K followers
0.6%
>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).
59.4%
Creators
29,685 accounts
14.0%
Consumers
6,982 accounts
26.7%
Dormant
13,333 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):
421
Verified Followers
0.42% of total
10,838
Protected Accounts
10.73% 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 |
|---|---|---|---|
| @JohnCena | 14,100,332 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JKCorden | 10,712,822 | TV Host | Comedy, Late Night TV, Entertainment |
| @Sethrogen | 9,281,538 | Actor | Movies, Comedy, Cannabis |
| @EmilyOsment | 3,045,900 | Singer | music, girl, bluebird |
| @daraobriain | 2,625,824 | Comedian | Science, Comedy, Touring |
| @KingBach | 2,380,299 | Actor | Comedy, Acting, YouTube |
| @JuddApatow | 2,377,059 | - | - |
| @DanaPerino | 2,359,446 | News Anchor | Fox News, Politics, News |
| @Zappos | 2,315,358 | Retailer | shoes, clothing, customer service |
| @iJesseWilliams | 2,310,091 | Producer | Activism, Education, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,429
Followers With Bio
40,570
Followers Without Bio
59.83%
% With Bio
40.17%
% 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 3,245 analyzed524,722
Combined Engagement
325,587
Total Likes
199,135
Total Retweets
104,944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
happy mothers day ? https://t.co/CyHOumbRa3
people are anxious & rude, there’s a lot of coughing, and sandwiches cost $15. we are living in airport times.
RT @MaryKoCo: Girls actually text each other like, "I’m meeting a guy allegedly named Brian here📍If he murders me here’s his Bumble pic so…
RT @HamlinIsland: GAMETIME!!! @BuffaloBills 💙 https://t.co/PQYClonUHb
RT @JamesGunn: Here are just a few of our plans. Up, up, and away! #DCStudios #DCU @DCComics https://t.co/8XNDNLUEPq
Key Insights & Takeaways
Her content often reflects on everyday life and societal observations, such as the state of public spaces and consumer habits. She uses humor to address personal topics like relationships and marriage, showing a more vulnerable side. Her verified status is low, suggesting she may not be a public figure or brand, but still maintains a significant online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 178,262
- + 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 @morgan_murphy reveals an well-established Twitter presence with 178,262 followers. The account demonstrates a conversation-first approach, averaging 288.0 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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