Patrick Smith
Damned (SmithPlays Remix) - Link in Bio :)
229,401
Followers
508
Following
23,917
Tweets
652.5
Avg Engagement
89
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheSmithPlays'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:2011-01-09
- Verification:No
- Location:Nova Scotia, Canada
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:492.4
- Avg Retweets per Tweet:160.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account shows high engagement with an average of 15,705 likes and 1,402 retweets per tweet, indicating a loyal and active fanbase.
492.4
Avg Likes/Tweet
160.1
Avg Retweets/Tweet
1,599,330
Total Likes
520,100
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
112
Median Likes
0
Median Retweets
506
75th Percentile
126,673
Top Tweet
2.84
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
30.9%
Original
65.0%
Replies
2.0%
Retweets
2.1%
Quotes
0.0%
Threads
0.2%
With Media
24.6%
With Links
0.5%
With #Tags
67.0%
With @Mentions
13.8%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.1
Reply/Original Ratio
1.06
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 65 retweets (2% 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 3,248 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 likely includes gaming enthusiasts and meme lovers, with a strong interest in nostalgia and community interaction.
Average
Audience Quality
26.7%
Suspicion Index
28.6%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
31.0%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
71.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
18.5%
<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.
26,085,936
Total Potential Reach
7
Median Follower Reach
30
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
40.1%
Creators
20,042 accounts
28.9%
Consumers
14,456 accounts
31.0%
Dormant
15,502 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):
209
Verified Followers
0.21% of total
7,062
Protected Accounts
6.99% of total
5 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 | 14,100,365 | Wrestler | Wrestling, Motivation, Self-promotion |
| @YouTubeCreators | 6,701,548 | Content Creator | tools, tips, inspiration |
| @CptPuffy | 1,322,715 | Content Creator | Gaming, Content Creation, Wholesome |
| @JeromeASF | 781,461 | Internet Personality | Gaming, Content Creation, Entrepreneurship |
| @Troydan | 770,223 | Youtuber | Basketball, YouTube, Chicago Bulls |
| @DaRealMiniToon | 730,101 | Game Developer | Gaming, Creators, Art |
| @Loserfruit | 639,781 | Gamer | gaming, content creation, fitness |
| @IsabelleMillerX | 610,943 | Model | Model, Entrepreneur, Global Citizen |
| @FortINTEL | 522,681 | Gaming News | Battle Royale, Esports, Leaks |
| @Scoped | 438,706 | Professional Gamer | Gaming, Team Liquid, Professional |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,336
Followers With Bio
43,653
Followers Without Bio
56.77%
% With Bio
43.23%
% 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 3,248 analyzed394,682
Combined Engagement
82,404
Total Likes
312,278
Total Retweets
78,936
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @ChatGotNext: You can’t even do this shit on GTA
Sometimes I forget how good old zombies memes were https://t.co/1C2OBf9zTi
RT @rudy_betrayed: remember when senators got coronavirus briefings before the public and sold off millions of dollars in stocks before the…
RT @JColeNC: Bout that time
RT @fuckmarrywill: the galaxy looks like a rug. quit your job and do whatever you want.
Key Insights & Takeaways
The user frequently references gaming and memes, showing a deep connection to these communities. They share personal milestones and reflections, indicating a level of authenticity and emotional investment. There is a mix of nostalgic content and forward-looking statements, suggesting a transition in their content focus.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 229,401
- + 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 @TheSmithPlays reveals an well-established Twitter presence with 229,401 followers. The account demonstrates a conversation-first approach, averaging 652.5 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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