Hurb
🔥 | Tá rolando a Cyber Week Hurb! ✈️ | Descontos exclusivos para você viajar! ✨ | Várias formas acessíveis de pagamento
60,924
Followers
443
Following
54,234
Tweets
2.1
Avg Engagement
130
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HurbBrasil'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:2010-11-16
- Verification:Yes
- Location:Brasil
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.9
- Avg Retweets per Tweet:0.2
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,250 tweetsThe account has average engagement with likes and retweets, indicating a moderate level of interaction. The top tweets include promotional content and announcements, which likely drive more visibility.
1.9
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
6,267
Total Likes
530
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
206
Top Tweet
0.03
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
10.3%
Original
89.3%
Replies
0.0%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
13.6%
With Links
3.7%
With #Tags
88.7%
With @Mentions
67.9%
With Emojis
143
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.69
Reply/Original Ratio
13.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
90.7%
Weekday Posts
9.3%
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.
The 1 retweets (0% 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 3,250 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 9,998 followersThe primary audience is individuals interested in travel and looking for budget-friendly options. The content is tailored to those who value discounts and flexible payment methods.
Good
Audience Quality
18.9%
Suspicion Index
28.0%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.2%
Empty Bio
21.4%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
37.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.4%
No URL
14.8%
<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.
17,600,270
Total Potential Reach
46
Median Follower Reach
215
75th Percentile Reach
6.2%
>1K followers
0.7%
>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).
62.1%
Creators
6,212 accounts
16.5%
Consumers
1,651 accounts
21.4%
Dormant
2,135 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):
29
Verified Followers
0.29% of total
1,688
Protected Accounts
16.88% 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 |
|---|---|---|---|
| @luscas | 7,414,698 | Influencer | Twitter, Brasil, Angelina Jolie |
| @naosalvo | 1,906,306 | Influencer | Humor, Memes, Satire |
| @vaidesmaiar | 944,785 | Influencer | Reality TV, Humor, Influencer |
| @pedrocertezas | 632,734 | Comedian | Humor, Esportes, Botafogo |
| @Silva_DG | 478,445 | Influencer | Gaming, Self-expression, Mail |
| @clapiclapiclapi | 322,899 | Writer | Water, Bica, Two Years |
| @greengodict | 307,935 | Translator | Brazilian culture, English language, dictionary |
| @diferentonabr | 304,239 | Artist | Art, Fashion, Creativity |
| @juzao | 270,675 | Influencer | N/A |
| @xetdaspromocoes | 262,611 | Promotions Account | Promoções, Ofertas, Segurança |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,876
Followers With Bio
4,124
Followers Without Bio
58.76%
% With Bio
41.24%
% 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 analyzed864
Combined Engagement
807
Total Likes
57
Total Retweets
173
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
”HURB - MOVING FOWARD | TENƎꓕ” https://t.co/ejboMBn7gg
Comunicado público para os nossos viajantes! https://t.co/bUFbedjkeK
É caro, né? https://t.co/YQTy99e8w8
Um sonho chamado Egito ✨🐫 https://t.co/QLslbUGbbn
Todos nós do Hurb agradecemos o apoio que estamos recebendo de nossos clientes, amigos e parceiros. Seguimos trabalhando para que o sonho de tantos brasileiros possam ser realizados. Nossos sinceros agradecimentos à todos que estão nesta missão conosco.💙 #ForçaHurb https://t.co
Key Insights & Takeaways
The account uses Cyber Week as a key promotional period to boost engagement Promotional content and discounts are central to its strategy The use of emojis and catchy phrases helps to capture attention and encourage clicks
Strengths
- + Established follower base of 60,924
- + 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 @HurbBrasil reveals an growing Twitter presence with 60,924 followers. The account demonstrates a conversation-first approach, averaging 2.1 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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