Mark Moran
CEO @EquityAnimal
22,897
Followers
1,652
Following
17,842
Tweets
142.1
Avg Engagement
92
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsmarkmoran'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: Mid-Tier (10K+)
- Account Age:2018-09-27
- Verification:No
- Location:New York // Virginia
Data Summary
- Tweets Analyzed:595
- Avg Likes per Tweet:14.9
- Avg Retweets per Tweet:127.2
- Followers Analyzed:18,971
Engagement Analysis
Based on 595 tweetsOn average, his tweets receive around 205 likes and 8 retweets, indicating a moderate level of engagement. The engagement is likely influenced by his verified status and the nature of his content.
14.9
Avg Likes/Tweet
127.2
Avg Retweets/Tweet
8,876
Total Likes
75,690
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
11
75th Percentile
36,793
Top Tweet
6.21
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
16.1%
Original
61.7%
Replies
19.3%
Retweets
2.9%
Quotes
0.0%
Threads
0.2%
With Media
30.9%
With Links
1.3%
With #Tags
86.7%
With @Mentions
5.0%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.82
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 595 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 115 retweets (19% 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 595 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 18,971 followersHis audience appears to be interested in business, animal rights, and social issues. The mix of professional and personal tweets suggests a broad appeal across different demographics.
Average
Audience Quality
23.6%
Suspicion Index
26.5%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.5%
Empty Bio
19.9%
<10 Tweets
18.4%
Mass Following (>2K)
0.0%
New (<90 days)
48.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
13.4%
<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.
44,163,914
Total Potential Reach
79
Median Follower Reach
269
75th Percentile Reach
8.8%
>1K followers
2.1%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.5%
Creators
11,658 accounts
18.6%
Consumers
3,532 accounts
19.9%
Dormant
3,781 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):
906
Verified Followers
4.78% of total
3,934
Protected Accounts
20.74% of total
7 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 |
|---|---|---|---|
| @thereallisaann | 1,988,456 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @historyinmemes | 1,693,011 | - | - |
| @BryceHall | 1,368,461 | Influencer | videos, email, business |
| @brandi_love | 1,088,890 | Pornstar | Conservative, Pornstar, Writing |
| @LeBronJames | 1,006,037 | - | - |
| @WSBChairman | 904,634 | Finance | Finance, Stocks, Memes |
| @cvpayne | 885,353 | Financial Analyst | Family, Country, Money |
| @TheStreet | 850,750 | Finance | business news, investing ideas, stock analysis |
| @ZachBoychuk | 830,517 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @PleasureEllis | 686,513 | Entertainer | Music, Transformation, Celebration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,465
Followers With Bio
7,506
Followers Without Bio
60.43%
% With Bio
39.57%
% 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 595 analyzed74,535
Combined Engagement
433
Total Likes
74,102
Total Retweets
14,907
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: https://t.co/ddmLSmOGb0
RT @RadioGenova: Macron while asking for sacrifices from the French people realizes he is wearing a € 80,000 watch and like a magician make…
RT @elonmusk: @ashleevance You could literally film a Walking Dead episode unedited in downtown SF. This is where San Francisco politics l…
RT @Reese10Angel: BEEN
Not ideal https://t.co/StY11oF0Fq
Key Insights & Takeaways
His top tweets include controversial and attention-grabbing statements, which may drive engagement. He frequently comments on social and political issues, indicating a strong stance on these topics. His verified status and CEO role suggest a level of credibility and influence in his niche.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 22,897
- + 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 @itsmarkmoran reveals an well-established Twitter presence with 22,897 followers. The account demonstrates a conversation-first approach, averaging 142.1 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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