Margot Cleveland
Senior Legal Correspondent @FDRLST. Catholic,conservative,~25 yrs fed. law clerk, former full-time university faculty, sometimes adjunct, lawyer, mom to CFer.
149,576
Followers
3,024
Following
54,096
Tweets
332.2
Avg Engagement
878
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ProfMJCleveland'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:2016-08-15
- Verification:Yes
- Location:United States
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:66.8
- Avg Retweets per Tweet:265.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 598 tweetsTheir tweets typically receive a high number of likes and retweets, suggesting they resonate with their audience. The engagement is consistent, indicating a loyal and active follower base that values their insights.
66.8
Avg Likes/Tweet
265.4
Avg Retweets/Tweet
39,958
Total Likes
158,694
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
17
Median Retweets
142
75th Percentile
24,562
Top Tweet
2.22
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
31.1%
Original
28.4%
Replies
20.6%
Retweets
19.9%
Quotes
0.0%
Threads
0.2%
With Media
54.0%
With Links
1.3%
With #Tags
53.0%
With @Mentions
2.2%
With Emojis
125
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.91
Reply/Original Ratio
0.97
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
87.5%
Weekday Posts
12.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 123 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 598 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 includes legal professionals, political enthusiasts, and media consumers interested in in-depth analysis of current events. They are likely well-educated and politically engaged, with a strong interest in legal and national security matters.
Average
Audience Quality
22.6%
Suspicion Index
23.3%
Low-Quality %
120
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
13.6%
<10 Tweets
27.5%
Mass Following (>2K)
0.0%
New (<90 days)
40.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
8.8%
<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.
99,025,304
Total Potential Reach
120
Median Follower Reach
589
75th Percentile Reach
17.7%
>1K followers
1.3%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.9%
Creators
36,433 accounts
13.6%
Consumers
6,785 accounts
13.6%
Dormant
6,782 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):
4,633
Verified Followers
4.59% of total
8,845
Protected Accounts
8.76% 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 | 14,105,744 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RealJamesWoods | 3,002,132 | Actor | Movies, Politics, Activism |
| @LouDobbs | 2,389,248 | Journalist | News, Politics, Business |
| @DanaPerino | 2,357,694 | News Anchor | Fox News, Politics, News |
| @JesseBWatters | 2,313,180 | TV Host | - |
| @RepMTG | 2,113,449 | Politician | Politics, Family, Georgia |
| @kimguilfoyle | 2,076,011 | Political Commentator | Mother, Patriot, Proud American |
| @mattgaetz | 2,068,492 | Politician | Politics, Florida, America First |
| @amyklobuchar | 2,044,198 | Politician | Politics, Minnesota, Legislation |
| @DanScavino | 1,688,437 | Political Strategist | Politics, Social Media, White House |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,082
Followers With Bio
38,915
Followers Without Bio
61.47%
% With Bio
38.53%
% 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 598 analyzed65,684
Combined Engagement
0
Total Likes
65,684
Total Retweets
13,137
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: In the months ahead, we will use AI to detect & highlight manipulation of public opinion on this platform. Let’s see what th…
RT @libsoftiktok: Trans activist goes on unhinged rant calling on trans people in Tennessee to fight. “Beat them, hurt them.” @FBI https://…
RT @TheBabylonBee: Beverage Pretending To Be Beer Features Man Pretending To Be Woman https://t.co/czhjbG8nF3
RT @MattWallace888: Elon Musk Has Revealed That The Old Twitter Algorithm Shadow Banned Accounts That Used These Words: "vaccination" "fau…
RT @mtaibbi: This is particularly infuriating because while #TwitterFiles reporters neither asked for nor received access to private user d…
Key Insights & Takeaways
The user frequently discusses the impact of political actions on national trust and defense, highlighting concerns about institutional credibility. They engage with a mix of legal experts, media personalities, and political figures, indicating a broad network of influence. Their content often critiques political behavior and emphasizes the importance of legal and institutional integrity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 149,576
- + 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 @ProfMJCleveland reveals an well-established Twitter presence with 149,576 followers. The account demonstrates a content-creator strategy, averaging 332.2 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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