462,755
Followers
322
Following
3,865
Tweets
906.1
Avg Engagement
2,437
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @M_Weatherly'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:2011-11-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:543.6
- Avg Retweets per Tweet:362.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,219 tweetsTheir tweets receive high engagement, with an average of 10,530 likes and 1,958 retweets per post.
543.6
Avg Likes/Tweet
362.5
Avg Retweets/Tweet
1,749,828
Total Likes
1,167,031
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
213
Median Likes
50
Median Retweets
790
75th Percentile
276,230
Top Tweet
1.96
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
61.9%
Original
23.1%
Replies
7.4%
Retweets
7.7%
Quotes
0.0%
Threads
1.6%
With Media
59.7%
With Links
27.9%
With #Tags
52.0%
With @Mentions
1.0%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
1.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.4%
Weekday Posts
15.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 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 238 retweets (7% 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 3,219 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 followersTheir audience appears to be fans of their content, possibly fans of TV shows or personalities they reference.
Average
Audience Quality
25.8%
Suspicion Index
32.5%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.9%
Empty Bio
27.4%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
56.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
18.2%
<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.
32,306,075
Total Potential Reach
22
Median Follower Reach
100
75th Percentile Reach
3.5%
>1K followers
0.3%
>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).
49.9%
Creators
24,931 accounts
22.7%
Consumers
11,355 accounts
27.4%
Dormant
13,714 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):
472
Verified Followers
0.47% of total
13,567
Protected Accounts
13.57% 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 |
|---|---|---|---|
| @JohnCena | 14,104,528 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mmpadellan | 1,223,539 | Political Commentator | #BlueWave2022, #Feminist, #TheResistance |
| @DanielNewman | 812,967 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @WipeHomophobia | 697,117 | - | - |
| @PolitiFact | 659,982 | Fact-checker | fact-checking, truth, newsletter |
| @RealMattCouch | 623,028 | Political Analyst | Christian, Investigator, Political Analyst |
| @josegaviria | 574,469 | Music Producer | Music, Conscious Eating, Spanglish |
| @PalmerReport | 508,622 | Political Analyst | - |
| @THE_THEO_FORD | 469,564 | - | - |
| @Uldouz | 461,454 | Influencer | Women's rights, Charity, Social media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,622
Followers With Bio
47,378
Followers Without Bio
52.62%
% With Bio
47.38%
% 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 3,219 analyzed737,632
Combined Engagement
0
Total Likes
737,632
Total Retweets
147,526
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @BarackObama: We remember everyone we lost on 9/11 and honor all who defend our country and our ideals. No act of terror will ever chang…
RT @MichelleObama: Happy 25th anniversary @barackobama. A quarter of a century later, you're still my best friend & the most extraordinary…
RT @bryan_leblanc: This is just a bear... being a good citizen. https://t.co/OCqnUwioFZ
RT @Reflog_18: United Airlines is pleased to announce new seating on all domestic flights- in addition to United First and Economy Plus we…
RT @DjokerNole: 🏆2️⃣2️⃣🙏🏼❤️ https://t.co/EozfCqP66s
Key Insights & Takeaways
They often reference TV shows or characters, which likely drives their engagement. Their content is personal and emotional, showing a connection with their audience. They use humor and creativity in their tweets, which helps maintain a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 462,755
- + 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 @M_Weatherly reveals an well-established Twitter presence with 462,755 followers. The account demonstrates a content-creator strategy, averaging 906.1 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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