Submarino
Ele/dele. Um e-commerce que ama livros, games e um cafezinho. ☕
825,485
Followers
4,444
Following
272,853
Tweets
6.7
Avg Engagement
3,936
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @submarino'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:2008-11-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:6.4
- Avg Retweets per Tweet:0.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account averages 342 likes and 29 retweets per tweet, indicating a moderate level of engagement. The content is well-received and often includes trending topics and popular media references.
6.4
Avg Likes/Tweet
0.3
Avg Retweets/Tweet
20,670
Total Likes
1,120
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
1
75th Percentile
1,202
Top Tweet
0.01
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
7.8%
Original
91.5%
Replies
0.0%
Retweets
0.7%
Quotes
0.0%
Threads
0.0%
With Media
18.1%
With Links
5.8%
With #Tags
89.5%
With @Mentions
20.2%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
11.66
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97.2%
Weekday Posts
2.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 3,250 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 followersThe audience primarily consists of book and game enthusiasts, as well as fans of popular culture and celebrities. They are likely interested in entertainment news and product recommendations.
Average
Audience Quality
26.0%
Suspicion Index
34.5%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
33.3%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
59.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.2%
No URL
20.8%
<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.
12,448,898
Total Potential Reach
7
Median Follower Reach
35
75th Percentile Reach
1.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39.2%
Creators
19,588 accounts
27.5%
Consumers
13,756 accounts
33.3%
Dormant
16,656 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):
71
Verified Followers
0.07% of total
12,805
Protected Accounts
12.8% of total
3 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 |
|---|---|---|---|
| @ClaroBrasil | 5,294,380 | Telecommunications | Technology, Connectivity, Entertainment |
| @SintoniaVerso | 4,151,986 | Fan account | Frases, Twitter, Fã-clube |
| @Sen_Cristovam | 731,538 | Professor | Education, Politics, Debate |
| @americanas | 624,860 | Influencer | Americanas, Ofertas, Cupons |
| @universitariia | 606,584 | - | - |
| @moreiraviw | 606,261 | Influencer | flat earth, daily content, contact |
| @brega_falcao | 384,112 | - | - |
| @TheRadioativo | 347,857 | Gamer | Free Fire, Gaming, Competitive |
| @PAG0D3 | 340,279 | - | - |
| @nprecisacontext | 323,016 | Influencer | Good vibes, positivity, humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,508
Followers With Bio
43,492
Followers Without Bio
56.51%
% With Bio
43.49%
% 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 3,250 analyzed2,825
Combined Engagement
2,672
Total Likes
153
Total Retweets
565
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Quando você precisa fazer as tarefas de casa, mas faltam 3 páginas pra acabar um capítulo: #LivroÉNoSub https://t.co/jp6Ihm4mB3
🗣️ JÁ TEMOS A LILY E O RYLE DE “É Assim Que Acaba”!! Blake Lively (Lily) e Justin Baldoni (Ryle) vão protagonizar a adaptação. 🫢 O que você achou, bookstan? https://t.co/OspfhR5IxG
Ainda não superei que a Rihanna lembrou que é cantora! 🥹 #HalftimeShow #SuperBowl https://t.co/y7D7dtQlH9
Que livro te deixou assim? 😔 https://t.co/rw5e5hRXEH
TE AMO GATINHO ESQUISITO (Difícil resistir) https://t.co/y5UMlmo0mm
Key Insights & Takeaways
The account uses trending topics and popular media references to boost engagement. It blends product promotion with entertainment news to maintain audience interest. Relatable and humorous content helps to build a personal connection with followers.
Strengths
- + Established follower base of 825,485
- + 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 @submarino reveals an growing Twitter presence with 825,485 followers. The account demonstrates a conversation-first approach, averaging 6.7 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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