goibebo
It's raining trips, hallelujah 🥰 Please DM @goibibosupport for a resolution to your travel concerns.
83,432
Followers
4,708
Following
369,975
Tweets
3.0
Avg Engagement
174
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @goibibo'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:2009-12-22
- Verification:Yes
- Location:Gurgaon
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:2.7
- Avg Retweets per Tweet:0.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,201 tweetsThe account maintains a steady level of engagement with an average of 831 likes and 58 retweets per tweet. It encourages interaction through calls to comment and share travel plans.
2.7
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
8,801
Total Likes
744
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
6,153
Top Tweet
0.04
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
4.9%
Original
94.9%
Replies
0.1%
Retweets
0.1%
Quotes
0.0%
Threads
0.1%
With Media
78.7%
With Links
4.6%
With #Tags
95.8%
With @Mentions
3.3%
With Emojis
189
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
19.35
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 3 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 3,201 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 travelers and individuals interested in vacation planning and travel tips. They are likely looking for both entertainment and practical advice related to travel.
Average
Audience Quality
28.8%
Suspicion Index
31.3%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.4%
Empty Bio
31.8%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
64.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
17.2%
<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.
15,644,251
Total Potential Reach
14
Median Follower Reach
65
75th Percentile Reach
2.3%
>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).
37.7%
Creators
3,766 accounts
30.6%
Consumers
3,056 accounts
31.8%
Dormant
3,178 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):
22
Verified Followers
0.22% of total
806
Protected Accounts
8.06% of total
5 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 | 14,097,995 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mandeeppunia1 | 144,329 | Journalist | village life, agriculture, rural politics |
| @velumania | 61,175 | - | - |
| @JaeyGajeraIndia | 49,823 | Actor | Bollywood, Actor, Producer |
| @Chai_n_love | 35,745 | - | - |
| @Shivani976 | 31,049 | - | - |
| @RobSin91 | 23,877 | - | - |
| @siddhinath | 16,968 | - | - |
| @HospitalityTek | 15,101 | - | - |
| @dasiCHITRA | 15,090 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,460
Followers With Bio
4,540
Followers Without Bio
54.6%
% With Bio
45.4%
% 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 3,201 analyzed8,509
Combined Engagement
8,028
Total Likes
481
Total Retweets
1,702
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
What needs to last for longer than expected: Vacation What actually lasts for longer than expected: MONDAY 😭 #MondayBlues
Travel ka ab tak nahi kia full vasool? Then here's what you need to do! Comment your travel plans for the next 6 months and we will choose ‘THE ONE’ with the most creative comment who will win an exciting surprise! #FullVasoolFriday https://t.co/kynk5joF9F
What’s the similarity between Monday and you? You both need trippin’!😉 #Mondayblues
We’ll go first ! Lamp Bulb 😂 Ab aap hume batao, aisi kya weird cheezein hai jo aap Hoardor me chupa kar leke ana chahoge! 😉 Comment below 2 weird things you will hoard in the Hoardor and get a chance to WIN Merch worth Rs.5000 for FREE 🤩 #Goibibo #GoibiboMerch #ContestAlert ht
Jab goibibo par available hai best deals, toh kyun kahi aur jaake pachtana? 🤔 Usse better hai Daily Steal Deals se booking karke Flights, Hotels and more pe best prices pana! Seedhe Goibibo pe jaao and apne travel ka #FullVasool kar jao! Download the Goibibo App now! https:/
Key Insights & Takeaways
The account uses humor and relatable themes to build a connection with its audience. It leverages user-generated content by inviting followers to comment on their travel plans. The use of hashtags like #MondayBlues helps in increasing visibility and engagement.
Strengths
- + Established follower base of 83,432
- + 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 @goibibo reveals an growing Twitter presence with 83,432 followers. The account demonstrates a conversation-first approach, averaging 3.0 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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