Fui
Uma mãozinha em forma de bot pra você ser mais Wandinha nesse caos.
38,920
Followers
2
Following
49,137
Tweets
2.5
Avg Engagement
7
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @vaiwandinha'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:2022-11-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:2.5
- Avg Retweets per Tweet:0.0
- Followers Analyzed:43,020
Engagement Analysis
Based on 3,200 tweetsThe account has a moderate level of engagement with a consistent average number of likes and retweets. The top tweets suggest a focus on humor and interaction with other accounts.
2.5
Avg Likes/Tweet
0.0
Avg Retweets/Tweet
7,870
Total Likes
133
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
1,240
Top Tweet
0.06
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
2.0%
Original
98.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
100.0%
With Links
0.0%
With #Tags
100.0%
With @Mentions
0.0%
With Emojis
54
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
48.23
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
100.0%
Weekday Posts
0.0%
Weekend Posts
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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.
Posting Patterns & Optimal Timing
Based on 3,200 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 43,020 followersThe audience seems to be interested in humor, memes, and relatable content. The account likely targets a younger demographic due to the casual and playful tone.
Good
Audience Quality
13.2%
Suspicion Index
16.3%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.1%
Empty Bio
12.1%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
30.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.3%
No URL
7.6%
<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.
41,047,380
Total Potential Reach
52
Median Follower Reach
213
75th Percentile Reach
6.8%
>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).
74.5%
Creators
32,045 accounts
13.4%
Consumers
5,756 accounts
12.1%
Dormant
5,219 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):
31
Verified Followers
0.07% of total
10,109
Protected Accounts
23.5% 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 |
|---|---|---|---|
| @JohnCena | 14,106,437 | Wrestler | Wrestling, Motivation, Self-promotion |
| @frasesdebebada | 4,342,341 | Influencer | Alcohol, Humor, Influencer |
| @verified | 4,201,077 | - | - |
| @Dylan_Bostic | 349,798 | Wrestler | Pro Wrestling, Boxing, Acting |
| @kevinvechiatto | 322,776 | Actor | Ator, Contato, Email |
| @dorafigueiredo | 286,082 | Influencer | Feminism, Mental Health, Relationships |
| @caraistuart | 270,732 | Influencer | - |
| @fixa10_ | 262,004 | Footballer | Travel, Soccer, MVP |
| @Tiagogreis | 216,528 | Analista Financeiro | Investing, Finance, Real Estate |
| @lancamentosdia | 206,433 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,240
Followers With Bio
10,780
Followers Without Bio
74.94%
% With Bio
25.06%
% 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 3,200 analyzed2,691
Combined Engagement
2,617
Total Likes
74
Total Retweets
538
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
De quarta-feira a quarta-feira torturando vocês. Fui (mesmo). (mas quem sabe eu volte para mais tortura) https://t.co/LdeCCgpxDq
@jrgoficial @choquei 🤌 🤌 https://t.co/rBsuH2ba15
@egyptoanunnaki @kaiquecomenta 🤌 🤌 https://t.co/jn2RhcMwFz
@souza_duda0 @kaiquecomenta 🤌 🤌 https://t.co/aS0dxwIQ1X
@luiddvuitton @choquei 🤌 🤌 https://t.co/5EEfRLlm02
Key Insights & Takeaways
The account uses humor and relatability to engage its audience. It frequently interacts with other accounts, suggesting a community-driven approach. The content often includes playful and sarcastic remarks, indicating a casual and informal tone.
Strengths
- + Established follower base of 38,920
- + 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 @vaiwandinha reveals an growing Twitter presence with 38,920 followers. The account demonstrates a conversation-first approach, averaging 2.5 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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