MATT WATSON
½ of @supermegashow.
453,686
Followers
1,264
Following
12,139
Tweets
2,351.6
Avg Engagement
330
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matthwatson'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:2010-07-10
- Verification:No
- Location:yo mama’s house 😂
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:2,016.5
- Avg Retweets per Tweet:335.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,201 tweetsTheir tweets receive an average of 68k likes and 4.6k retweets, indicating strong audience interaction. The content is well-received and widely shared.
2,016.5
Avg Likes/Tweet
335.1
Avg Retweets/Tweet
6,454,881
Total Likes
1,072,723
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
437
Median Likes
11
Median Retweets
2,130
75th Percentile
197,959
Top Tweet
5.18
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
25.7%
Original
48.5%
Replies
17.9%
Retweets
7.9%
Quotes
0.0%
Threads
0.4%
With Media
45.5%
With Links
1.7%
With #Tags
63.0%
With @Mentions
10.1%
With Emojis
65
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.89
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.5%
Weekday Posts
31.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 573 retweets (18% 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 3,201 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 followersMatthwatson's audience is likely interested in entertainment, media, and online content sharing. Their followers engage actively with their posts.
Average
Audience Quality
28.1%
Suspicion Index
32.9%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.3%
Empty Bio
36.7%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
25.5%
<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.
23,452,033
Total Potential Reach
11
Median Follower Reach
43
75th Percentile Reach
1.6%
>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).
39.4%
Creators
19,699 accounts
23.9%
Consumers
11,951 accounts
36.7%
Dormant
18,350 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):
351
Verified Followers
0.35% of total
11,396
Protected Accounts
11.4% of total
3 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 |
|---|---|---|---|
| @Ranboosaysstuff | 3,123,356 | Content Creator | Gaming, Streaming, Business |
| @Valkyrae | 3,075,786 | Streamer | Gaming, Streaming, Content Creation |
| @h3h3productions | 2,304,495 | Podcaster | Comedy, Podcasting, Entertainment |
| @theodd1sout | 1,921,546 | YouTuber | Comedy, Videos, Business |
| @LudwigAhgren | 1,750,797 | Streamer | Gaming, Entertainment, Comedy |
| @weirddalle | 1,357,428 | - | - |
| @Grimezsz | 1,343,209 | Musician | music, art, technology |
| @image_origins | 1,152,835 | - | - |
| @TheRealMorrison | 1,052,360 | Pro Wrestler | pro wrestler, actor, creator |
| @kurtisconner | 1,046,996 | Comedian | comedy, email, website |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,806
Followers With Bio
34,194
Followers Without Bio
65.81%
% With Bio
34.19%
% 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 3,201 analyzed744,185
Combined Engagement
468,440
Total Likes
275,745
Total Retweets
148,837
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
I can’t get over how fucking comedically stupid this take is https://t.co/edOLZOFvkf
Just passed this https://t.co/3G90iZCCN0
RT @NASA: It's here–the deepest, sharpest infrared view of the universe to date: Webb's First Deep Field. Previewed by @POTUS on July 11,…
https://t.co/dbH7FmLeu5
RT @chip2ner: Walter White in Mario Kart Wii https://t.co/6bRRGDR587
Key Insights & Takeaways
High engagement suggests the content is popular and relevant to the audience. The use of links indicates a focus on sharing external content or media. Verified status is low, which may imply a more organic or personal brand presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 453,686
- + 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 @matthwatson reveals an exceptionally influential Twitter presence with 453,686 followers. The account demonstrates a conversation-first approach, averaging 2,351.6 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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