Babaioff
https://linktr.ee/tomnafazenda
95,589
Followers
1,118
Following
11,334
Tweets
1,312.2
Avg Engagement
99
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @babaioff'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:2011-02-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:863.2
- Avg Retweets per Tweet:449.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,243 tweetsBabaioff's tweets receive high engagement, with an average of 79,231 likes and 7,845 retweets per tweet, indicating strong audience interaction.
863.2
Avg Likes/Tweet
449.0
Avg Retweets/Tweet
2,799,507
Total Likes
1,456,002
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
0
Median Retweets
256
75th Percentile
429,993
Top Tweet
13.73
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
19.9%
Original
72.9%
Replies
4.0%
Retweets
3.1%
Quotes
0.0%
Threads
0.0%
With Media
16.5%
With Links
2.6%
With #Tags
77.1%
With @Mentions
30.0%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.66
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 131 retweets (4% 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 3,243 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 primarily consists of Brazilian users interested in political and cultural discussions, with a focus on current events and public figures.
Average
Audience Quality
26.1%
Suspicion Index
28.9%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.8%
Empty Bio
21.2%
<10 Tweets
19.5%
Mass Following (>2K)
0.0%
New (<90 days)
55.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
12.9%
<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.
11,961,922
Total Potential Reach
54
Median Follower Reach
247
75th Percentile Reach
9.6%
>1K followers
0.9%
>10K followers
0.2%
>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).
58.2%
Creators
5,822 accounts
20.6%
Consumers
2,062 accounts
21.2%
Dormant
2,116 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):
19
Verified Followers
0.19% of total
1,171
Protected Accounts
11.71% 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 |
|---|---|---|---|
| @gioewbank | 2,248,210 | Presenter | Apresentadora, atriz, mãe |
| @gduvivier | 1,836,268 | - | - |
| @IamMzilikazi | 550,499 | Musician | Pan-African music, Album, Rise |
| @barbaragancia | 532,149 | Jornalista | Polemics, Available, Copa 2040 |
| @ONUBrasil | 383,829 | Diplomacy | Sustainable Development, Human Rights, Global Goals |
| @DADDYBLACKBU | 192,219 | - | - |
| @MaxPettersonM | 167,570 | Actor | Ator, YouTuber, Paris |
| @guilhotines | 147,078 | Comedian | guilhotines, FOMO |
| @cesarcalejon1 | 123,192 | Journalist | Emancipação Popular, Pensamento Crítico, Jornalismo |
| @RoiLopezRivas | 119,730 | Geologist | Gobierno, URSS, Chavista |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,518
Followers With Bio
4,482
Followers Without Bio
55.18%
% With Bio
44.82%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 3,243 analyzed979,414
Combined Engagement
213,490
Total Likes
765,924
Total Retweets
195,883
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @LulaOficial: Democracia. https://t.co/zvnBbnQ3HG
RT @vinijr: Não foi a primeira vez, nem a segunda e nem a terceira. O racismo é o normal na La Liga. A competição acha normal, a Federação também e os adversários incentivam. Lamento muito. O campeonato que já foi de Ronaldinho, Ronaldo, Cristiano e Messi hoje é dos racistas. Um
Essa frase ecoa na minha cabeça: "A Pfizer queria fazer do Brasil vitrine de vacinação".
Jade, né? Pode doar esses R$ 1,5 Mi sem precisar do prêmio do BBB, tem dinheiro pra isso.
RT @acababozo: ACABOU O GOVERNO BOLSONARO
Key Insights & Takeaways
Babaioff often uses humor and satire to comment on political and social issues. He frequently references popular culture and public figures to make his points relatable. His tweets are designed to provoke thought and discussion among his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 95,589
- + 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 @babaioff reveals an exceptionally influential Twitter presence with 95,589 followers. The account demonstrates a conversation-first approach, averaging 1,312.2 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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