psalm
Fortnite World Cup 2nd Place | 4x Pro: @playVALORANT @FortniteGame @DOTA2 @BlizzHeroes | Prev: @TheGuard @dignitas @clgaming | BD & Partnerships @MagicEden
75,776
Followers
2,513
Following
6,707
Tweets
728.6
Avg Engagement
124
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @psalm'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:2015-04-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,182
- Avg Likes per Tweet:228.3
- Avg Retweets per Tweet:500.3
- Followers Analyzed:50,000
- Following Analyzed:2,429
Engagement Analysis
Based on 3,182 tweetsPsalm's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared within the gaming community.
228.3
Avg Likes/Tweet
500.3
Avg Retweets/Tweet
726,450
Total Likes
1,592,101
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
0
Median Retweets
161
75th Percentile
585,523
Top Tweet
9.62
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
23.9%
Original
64.3%
Replies
8.4%
Retweets
3.4%
Quotes
0.0%
Threads
0.1%
With Media
19.5%
With Links
3.1%
With #Tags
77.2%
With @Mentions
14.2%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.69
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,182 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 267 retweets (8% 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 3,182 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 followersHis followers are likely gaming enthusiasts and fans of esports, particularly interested in Fortnite, Valorant, and other competitive games. The audience is engaged and interested in his career updates and partnerships.
Average
Audience Quality
22.6%
Suspicion Index
21.8%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.4%
Empty Bio
17.9%
<10 Tweets
7.9%
Mass Following (>2K)
0.0%
New (<90 days)
63.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.7%
No URL
10.2%
<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.
98,227,963
Total Potential Reach
27
Median Follower Reach
108
75th Percentile Reach
5.4%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.3%
Creators
29,631 accounts
22.8%
Consumers
11,403 accounts
17.9%
Dormant
8,966 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):
393
Verified Followers
3.93% of total
716
Protected Accounts
7.16% of total
4 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 |
|---|---|---|---|
| @ChloeGMoretz | 2,857,192 | Actress | feminism, empowerment, equality |
| @Febatista | 879,302 | Youtuber | Gaming, Nerd Culture, Content Creation |
| @ZachBoychuk | 827,054 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Trainwreckstv | 653,969 | Podcaster | Podcasting, Among Us, GFuel |
| @MarioNawfal | 484,438 | - | - |
| @FaZeDirty | 468,962 | Gamer | Warzone, Sniper, Gaming |
| @ImperialHal | 410,255 | Professional Gamer | Apex Legends, Champion, XGames |
| @kevjumba | 269,791 | YouTuber | Comedy, YouTube, Philanthropy |
| @nayteFN | 262,143 | Professional Gamer | VALORANT, Fortnite, eSports |
| @darcydonavan | 240,769 | Actress | Acting, Music, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,316
Followers With Bio
2,684
Followers Without Bio
73.16%
% With Bio
26.84%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,182 analyzed1,195,763
Combined Engagement
0
Total Likes
1,195,763
Total Retweets
239,153
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @BarackObama: Kobe was a legend on the court and just getting started in what would have been just as meaningful a second act. To lose Gianna is even more heartbreaking to us as parents. Michelle and I send love and prayers to Vanessa and the entire Bryant family on an unthink
RT @stfu_sabs: Therapist: And what do we say when we feel like this? Me: It be like that sometimes Therapist: No
RT @JimmyRandazzo: Kobe talking about Gianna literally just broke my heart https://t.co/bID5k7Gvn6
RT @SHAQ: Kobe was so much more than an athlete, he was a family man. That was what we had most in common. I would hug his children like they were my own and he would embrace my kids like they were his. His baby girl Gigi was born on the same day as my youngest daughter Me’Arah.
RT @bramante__: My favorite part of Kobe’s last game #KobeFarewell https://t.co/PkPL2N5hMq
Network & Following Analysis
Based on 2,429 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
44.9%
Verified Accounts
32.2%
High Authority (>50K)
100.0%
Dormant Accounts
4.4%
Low Quality
17,166
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
86.6%
Individuals
2,103 accounts
8.9%
Brands/Orgs
216 accounts
4.5%
Media/News
110 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,001,773 | Entrepreneur | Space, Technology, Innovation |
| @BarackObama Barack Obama | 131,947,092 | Politician | Family, Leadership, Citizenship |
| @KingJames LeBron James | 52,709,027 | Athlete | Basketball, Family, Philanthropy |
| @NBA NBA | 44,206,964 | Sports Media | Basketball, Sports, Entertainment |
| @kanyewest ye | 31,751,055 | - | - |
| @MrBeast MrBeast | 23,490,317 | YouTuber | Philanthropy, YouTube, Charity |
| @StephenCurry30 Stephen Curry | 17,472,950 | - | - |
| @FortniteGame Fortnite | 16,163,920 | - | - |
| @SHAQ SHAQ | 15,819,049 | Athlete | Basketball, Quotes, Random Acts |
| @kobebryant Kobe Bryant | 14,500,604 | Entrepreneur | Basketball, Writing, Producing |
Key Insights & Takeaways
Psalm's Twitter activity reflects his active involvement in the gaming industry and his status as a professional player. His engagement metrics suggest a loyal and interactive audience. He frequently shares updates about his career and partnerships, which likely drive his high engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,776
- + 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 @psalm reveals an well-established Twitter presence with 75,776 followers. The account demonstrates a conversation-first approach, averaging 728.6 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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