Ricardo Prass
Professional Player of @imperialesports | https://www.twitch.tv/boltz | Business inquiries: [email protected]
227,587
Followers
715
Following
9,664
Tweets
1,132.9
Avg Engagement
416
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Boltz'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:2015-05-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:1,096.8
- Avg Retweets per Tweet:36.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive high engagement, with an average of 29,723 likes and 1,232 retweets per post.
1,096.8
Avg Likes/Tweet
36.2
Avg Retweets/Tweet
3,563,366
Total Likes
117,506
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
266
Median Likes
2
Median Retweets
1,103
75th Percentile
49,656
Top Tweet
4.98
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
38.5%
Original
38.3%
Replies
14.2%
Retweets
9.0%
Quotes
0.0%
Threads
0.0%
With Media
43.1%
With Links
8.9%
With #Tags
67.5%
With @Mentions
41.3%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
0.63
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 3,249 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 462 retweets (14% 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 3,249 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 audience primarily consists of gaming enthusiasts and fans of his team, Imperialesports.
Average
Audience Quality
21.1%
Suspicion Index
27.9%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
22.2%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
14.0%
<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.
65,301,676
Total Potential Reach
21
Median Follower Reach
90
75th Percentile Reach
2.4%
>1K followers
0.4%
>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).
56.5%
Creators
28,267 accounts
21.3%
Consumers
10,657 accounts
22.2%
Dormant
11,076 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):
154
Verified Followers
0.15% of total
13,022
Protected Accounts
12.89% 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 |
|---|---|---|---|
| @NetflixBrasil | 26,119,471 | Entertainment | Batalha TUDUM, Fandoms, Site |
| @JohnCena | 14,100,357 | Wrestler | Wrestling, Motivation, Self-promotion |
| @antoniotabet | 3,179,727 | Entertainer | Comedy, Sports, News |
| @Gremio | 3,100,644 | Sports Team | Football, Sports, Club |
| @desimpedidos | 2,593,487 | Sports media | Futebol, Humor, Entretenimento |
| @loud_victor | 1,929,203 | Comedian | Gaming, Joker, Fun |
| @loud_thurzin888 | 1,260,177 | Influencer | Gaming, Influencer, Esports |
| @loud_Mii | 935,606 | - | - |
| @ZachBoychuk | 829,133 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @DoentesPFutebol | 805,144 | Sports Blogger | Futebol, Informação, Opinião |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,186
Followers With Bio
41,801
Followers Without Bio
58.61%
% With Bio
41.39%
% 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 3,249 analyzed203,147
Combined Engagement
196,439
Total Likes
6,708
Total Retweets
40,629
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
VAMOOOOOO!!!!!!! ACREDITA!!!! 🇧🇷🇧🇷🇧🇷
não deu, obrigado a todos que torceram por nós 🙏💚 ggwp @CPHFlames
Respeita nossa história 👍 Obrigado Tribo o apoio de vocês é insano 💚
LEGENDS AGAIN! VAMOOOO BRASIL!!! ACREDITAAAA
Primeira interação // hoje Sabrina no 0-0-11 https://t.co/INqaoMwFC2 https://t.co/w0GMMhkAU8
Key Insights & Takeaways
He frequently expresses gratitude and acknowledges his supporters, which fosters a strong community connection. His content often includes emotional reactions and team-related messages, indicating a deep connection to his team and fans. He uses emojis and hashtags to enhance the emotional impact of his tweets and engage his audience more effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 227,587
- + 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 @Boltz reveals an exceptionally influential Twitter presence with 227,587 followers. The account demonstrates a content-creator strategy, averaging 1,132.9 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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