Leo Stronda
https://www.facebook.com/unsupportedbrowser @pichauinfo
191,887
Followers
603
Following
10,949
Tweets
118.1
Avg Engagement
1,226
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LeoSchulzWOW'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:2010-02-02
- Verification:No
- Location:Rio de Janeiro - RJ
Data Summary
- Tweets Analyzed:3,185
- Avg Likes per Tweet:104.0
- Avg Retweets per Tweet:14.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,185 tweetsHis tweets receive high engagement, with an average of 5,192 likes and 344 retweets per post, indicating strong audience interaction.
104.0
Avg Likes/Tweet
14.1
Avg Retweets/Tweet
331,202
Total Likes
44,970
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
3
Median Retweets
47
75th Percentile
19,055
Top Tweet
0.62
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
59.0%
Original
30.1%
Replies
3.2%
Retweets
7.7%
Quotes
0.0%
Threads
0.1%
With Media
85.6%
With Links
23.3%
With #Tags
49.0%
With @Mentions
34.9%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
2.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.4%
Weekday Posts
25.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,185 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 103 retweets (3% 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 3,185 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 young, tech-savvy individuals interested in humor, gaming, and pop culture.
Average
Audience Quality
22.1%
Suspicion Index
28.8%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.9%
Empty Bio
27.2%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
50.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
18.7%
<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.
108,164,688
Total Potential Reach
22
Median Follower Reach
94
75th Percentile Reach
2.3%
>1K followers
0.4%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.7%
Creators
26,859 accounts
19.1%
Consumers
9,540 accounts
27.2%
Dormant
13,601 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):
82
Verified Followers
0.08% of total
12,591
Protected Accounts
12.47% 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 |
|---|---|---|---|
| @JohnCena | 14,100,150 | Wrestler | Wrestling, Motivation, Self-promotion |
| @maisa | 13,039,650 | Atriz | atriz, apresentadora, cantora |
| @SabrinaSato | 11,224,595 | TV Host | sorriso, vida, alegria |
| @cocielo | 8,056,827 | Influencer | Comedy, Gaming, Influencer |
| @FeCastanhari | 7,519,126 | - | - |
| @TNTSportsBR | 6,370,090 | Sports Media | Champions League, NBA, Esportes |
| @FilipeRet | 5,081,730 | Musician | Rico, bonito, cheiroso |
| @Christian_fig | 4,441,261 | Author | books, writing, author |
| @Casimiro | 4,071,268 | Streamer | Vasco da Gama, Presenting, Streaming |
| @alanzoka | 3,304,624 | Gamer | Gaming, Content Creation, Relationship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,862
Followers With Bio
41,136
Followers Without Bio
59.27%
% With Bio
40.73%
% 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 3,185 analyzed66,706
Combined Engagement
61,138
Total Likes
5,568
Total Retweets
13,341
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
@jbanguela Doria e um merda ... quem fez a vacina foi o cientista ... fodac kkkk
Já que o @Gaules ta tão interessado em maromba, bora dar um treino então!? #projetogaulesmonstrao ?
@Gaules Opa, chamou?
Esse video do @alanzoka me representa https://t.co/TniKMztxug
Alguém já imaginou o maluco do Metaforando jogando Among Us ?
Key Insights & Takeaways
He often uses humor and pop culture references to connect with his audience Collaborations with other creators like @Gaules suggest a focus on community and shared content His use of hashtags and informal language indicates a casual and approachable style
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 191,887
- + 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 @LeoSchulzWOW reveals an well-established Twitter presence with 191,887 followers. The account demonstrates a content-creator strategy, averaging 118.1 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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