Michael J. Murphy
writer / director / cat dad
298,212
Followers
4,733
Following
21,163
Tweets
2,184.1
Avg Engagement
722
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MikeyMurphy'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:2013-04-23
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:1,796.9
- Avg Retweets per Tweet:387.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsMikey Murphy's tweets receive strong engagement, indicating a loyal and active audience. His content is well-received, with a high average number of likes and retweets.
1,796.9
Avg Likes/Tweet
387.2
Avg Retweets/Tweet
5,737,494
Total Likes
1,236,234
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
829
Median Likes
61
Median Retweets
2,924
75th Percentile
210,734
Top Tweet
7.32
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
46.4%
Original
46.6%
Replies
2.9%
Retweets
4.1%
Quotes
0.0%
Threads
1.3%
With Media
22.7%
With Links
2.0%
With #Tags
52.1%
With @Mentions
9.8%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
1.0
Reply/Original Ratio
1.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 93 retweets (3% 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 3,193 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 fans of his work and followers of his personal brand. They are likely interested in entertainment, pop culture, and personal storytelling.
Good
Audience Quality
19.7%
Suspicion Index
23.6%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
23.2%
<10 Tweets
4.9%
Mass Following (>2K)
0.0%
New (<90 days)
46.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
14.9%
<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.
57,629,292
Total Potential Reach
26
Median Follower Reach
115
75th Percentile Reach
3.1%
>1K followers
0.4%
>10K followers
0.1%
>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).
56.3%
Creators
28,147 accounts
20.5%
Consumers
10,239 accounts
23.2%
Dormant
11,614 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):
259
Verified Followers
0.26% of total
14,584
Protected Accounts
14.58% 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 | 14,103,026 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Nashgrier | 6,128,479 | Influencer | Family, Comedy, Lifestyle |
| @JVCKJ | 5,402,134 | Musician | Music, Pastel, Basketball |
| @AnselElgort | 3,127,066 | Actor | Actor, Music, Travel |
| @zane | 1,816,033 | Influencer | Music, Travel, Food |
| @KameronBennett | 1,812,642 | DJ | Music, DJing, Booking |
| @JacobWhitesides | 1,784,205 | Singer | music, singer, songwriter |
| @ImNotScottySire | 1,659,232 | Influencer | comedy, humor, fun |
| @WBHomeEnt | 1,386,375 | Entertainment | Movies, TV shows, Entertainment |
| @Idubbbz | 1,367,607 | YouTuber | boy, boxer, mullet |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,244
Followers With Bio
35,756
Followers Without Bio
64.24%
% With Bio
35.76%
% 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 3,193 analyzed569,441
Combined Engagement
142,820
Total Likes
426,621
Total Retweets
113,888
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
0%
With Links
Topical Analysis:
RT @Harry_Styles: Thanks for having me. Love you. H
RT @danikwateng: I want y’all to care AFTER the protests have ended. That’s all.
I never Ever EveR EVER E V E R needed to see that video of Shawn and Camilla kissing
RT @jk_rowling: OK, here it is. Please don't start flame wars over it, but this year I'd like to apologise for killing (whispers)... Snape.…
Florence Pugh. Harry Styles.
Key Insights & Takeaways
He frequently references pop culture moments and celebrities, which likely drives engagement. His tweets often include links, suggesting he shares content or media. He uses strong emotional language, which may resonate with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 298,212
- + 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 @MikeyMurphy reveals an exceptionally influential Twitter presence with 298,212 followers. The account demonstrates a conversation-first approach, averaging 2,184.1 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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