flybondi
Bienvenidos a Flybondi. Bienvenidos a #LaLibertadDeVolar #SomosUltraLowcost
112,544
Followers
103
Following
46,833
Tweets
19.8
Avg Engagement
183
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @flybondioficial'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:2016-10-22
- Verification:Yes
- Location:Argentina
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:18.1
- Avg Retweets per Tweet:1.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,246 tweetsThe account maintains a consistent level of engagement with an average of 704 likes and 89 retweets per tweet. It uses interactive and promotional content to drive engagement and conversions.
18.1
Avg Likes/Tweet
1.7
Avg Retweets/Tweet
58,614
Total Likes
5,629
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
7
75th Percentile
1,801
Top Tweet
0.18
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
27.6%
Original
72.0%
Replies
0.0%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
29.2%
With Links
17.4%
With #Tags
71.6%
With @Mentions
26.6%
With Emojis
125
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.61
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
91.9%
Weekday Posts
8.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 3,246 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 primary audience is likely travelers interested in affordable flights and promotions. The content appeals to a broad demographic, with a focus on Latin American markets due to the use of Spanish and regional references.
Average
Audience Quality
21.0%
Suspicion Index
31.1%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
22.0%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
40.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.5%
No URL
14.4%
<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.
5,555,975
Total Potential Reach
45
Median Follower Reach
195
75th Percentile Reach
5.5%
>1K followers
0.5%
>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).
59.9%
Creators
5,985 accounts
18.1%
Consumers
1,812 accounts
22.0%
Dormant
2,203 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):
49
Verified Followers
0.49% of total
1,041
Protected Accounts
10.41% 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 |
|---|---|---|---|
| @DianaSanchez_04 | 884,112 | Dancer | Empresaria, animadora, bailarina |
| @PersonalAr | 624,303 | Customer Support | Argentina, Fibertel, Personal |
| @elgourmet | 225,376 | Chef | Food, Cooking, Lifestyle |
| @Josebianco10 | 202,495 | - | - |
| @manupalok | 132,731 | Actress | Actriz, HakunaMatata |
| @ceferinoreato | 100,191 | Periodista | Periodismo, Libros, Cultura |
| @lucianoledesm | 97,656 | Footballer | Football, Argentina, Music |
| @naturaambiental | 84,579 | Consultor | Science communication, Environment, Climate Change |
| @rdfava | 71,650 | Sports Journalist | Sports, Radio, Television |
| @PalmiroCaballas | 67,854 | Comedian | Fiambrin, Kurdas, Fantasía sexual |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,214
Followers With Bio
4,786
Followers Without Bio
52.14%
% With Bio
47.86%
% 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 3,246 analyzed5,058
Combined Engagement
4,543
Total Likes
515
Total Retweets
1,012
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Mueva Dibu mueva👏🏻 https://t.co/4jNaTCmqEQ
¡Sos un grande Dibu! 💛 Bondi, volá con un 50% OFF con el código CAMPEONES 🇦🇷 🙌 https://t.co/7toXkFhZ1g
Primero se saca el vuelo, después se pregunta https://t.co/Xgp5LjzufX
Cómo empezó / Cómo va https://t.co/X9Sss4EnJ2 https://t.co/oKh5uLMmmw
Hola Julian 💛 https://t.co/9Gj3E2vdFE
Key Insights & Takeaways
The account frequently uses emojis and hashtags to create a friendly and engaging tone. Promotional content, such as flight discounts and codes, is a key driver of engagement. The use of motivational and catchy phrases helps to build brand loyalty and excitement.
Strengths
- + Established follower base of 112,544
- + 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 @flybondioficial reveals an growing Twitter presence with 112,544 followers. The account demonstrates a conversation-first approach, averaging 19.8 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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