MrPsyop
ad-venture capitalist
60,601
Followers
3,147
Following
49,543
Tweets
898.0
Avg Engagement
188
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mrpsyop'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:2010-10-18
- Verification:No
- Location:wish fulfilled state
Data Summary
- Tweets Analyzed:3,218
- Avg Likes per Tweet:5.2
- Avg Retweets per Tweet:892.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,218 tweetsmrpsyop's tweets receive high engagement, averaging 944 likes and 204 retweets, indicating a strong and active community. Their content resonates well with followers, encouraging interaction and sharing.
5.2
Avg Likes/Tweet
892.8
Avg Retweets/Tweet
16,847
Total Likes
2,872,963
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
6
75th Percentile
305,766
Top Tweet
14.82
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
5.3%
Original
76.2%
Replies
18.3%
Retweets
0.2%
Quotes
0.0%
Threads
0.3%
With Media
12.1%
With Links
1.3%
With #Tags
95.0%
With @Mentions
15.4%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
14.42
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,218 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 590 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 3,218 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 10,000 followersThe audience likely includes crypto enthusiasts, self-help followers, and individuals interested in personal development and lifestyle changes. They are engaged and interested in both financial and spiritual growth.
Good
Audience Quality
18.1%
Suspicion Index
18.2%
Low-Quality %
189
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.5%
Empty Bio
11.9%
<10 Tweets
24.5%
Mass Following (>2K)
0.0%
New (<90 days)
28.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.4%
No URL
7.0%
<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.
60,304,376
Total Potential Reach
189
Median Follower Reach
675
75th Percentile Reach
19.2%
>1K followers
5.6%
>10K followers
2.1%
>50K followers
1.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.2%
Creators
7,124 accounts
16.9%
Consumers
1,690 accounts
11.9%
Dormant
1,186 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):
637
Verified Followers
6.37% of total
1,182
Protected Accounts
11.82% 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 |
|---|---|---|---|
| @Nicolette_Shea | 2,412,185 | Content Creator | OnlyFans, Creator, Model |
| @6BillionPeople | 2,014,011 | - | - |
| @KameronBennett | 1,808,544 | DJ | Music, DJing, Booking |
| @allyier | 1,782,806 | - | - |
| @AndrewYang | 1,684,784 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @lenatheplug | 1,572,352 | Content Creator | YouTube, Porn, Co-Host |
| @BrianDEvans | 1,233,586 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @Cernovich | 1,145,827 | Author | Hoaxed Movie, Cernovich Watch, Time |
| @wsbmod | 763,041 | Moderator | stocks, investing, memes |
| @TheCryptoDog | 747,581 | Crypto Trader | Crypto trading, Bitcoin mining, Health & wellness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,053
Followers With Bio
2,947
Followers Without Bio
70.53%
% With Bio
29.47%
% 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 3,218 analyzed922,611
Combined Engagement
0
Total Likes
922,611
Total Retweets
184,522
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @CecilYongo: Normalize saying “I don’t know enough to have an opinion.”
RT @Nazeefah: COVID-19 helping people realise that some meetings can be emails.
RT @NicholsUprising: Sicily has figured out this whole self-isolation thing. #COVID19 #CoronavirusPandemic https://t.co/93whPVtQcR
RT @JamilaRobinson: When I say “last year,” I’m talking about 2019.
RT @ericd: I don’t think a video could define our generation better than this kid making a tiktok while being tested for corona https://t.co/flVqOMjHSu
Key Insights & Takeaways
mrpsyop frequently shares personal achievements and milestones, which builds trust and relatability. They use humor and emojis to make their content more engaging and approachable. Their focus on gratitude and manifestation aligns with a motivational and spiritual tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,601
- + 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 @mrpsyop reveals an well-established Twitter presence with 60,601 followers. The account demonstrates a conversation-first approach, averaging 898.0 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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