Tina Dabi
IAS 2016| This is a personal account. Retweet is not endorsement
473,892
Followers
175
Following
357
Tweets
3,164.2
Avg Engagement
154
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dabi_tina'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:2016-12-01
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:342
- Avg Likes per Tweet:2,696.1
- Avg Retweets per Tweet:468.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 342 tweetsThe account has high average likes and retweets, suggesting strong audience interaction. The engagement is likely driven by official announcements and celebratory content.
2,696.1
Avg Likes/Tweet
468.1
Avg Retweets/Tweet
922,074
Total Likes
160,081
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
108
Median Retweets
1,528
75th Percentile
135,852
Top Tweet
6.68
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
33.0%
Original
13.2%
Replies
49.7%
Retweets
4.1%
Quotes
0.0%
Threads
0.3%
With Media
53.5%
With Links
27.5%
With #Tags
66.1%
With @Mentions
13.2%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 342 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 170 retweets (50% 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 342 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 appears to be interested in government roles, public service, and personal updates from an IAS officer. They engage with content related to official duties and celebrations.
Average
Audience Quality
33.6%
Suspicion Index
41.6%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.0%
Empty Bio
50.4%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
74.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
35.2%
<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.
7,048,472
Total Potential Reach
4
Median Follower Reach
20
75th Percentile Reach
1.6%
>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).
23.3%
Creators
11,658 accounts
26.3%
Consumers
13,157 accounts
50.4%
Dormant
25,185 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):
265
Verified Followers
0.26% of total
7,288
Protected Accounts
7.22% 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 |
|---|---|---|---|
| @awasthis | 1,092,873 | Journalist | News, Journalism, Media |
| @noelitoflow | 473,151 | Inspirational Speaker | God, Jesus, Purpose |
| @Profdilipmandal | 472,079 | Journalist | Brahmin Studies, Editors Guild, Media |
| @shaziailmi | 394,541 | Politician | Nationalism, Unity, Leadership |
| @hamzashafqaat | 361,261 | - | - |
| @pankajjha_ | 335,846 | Editor | Editor, ABP News, IIMCian, Journalism |
| @preetee394911 | 247,591 | - | - |
| @SafinHasan_IPS | 147,866 | Police Officer | Traffic, Reader, Speaker |
| @DrSanjaysinghK | 142,373 | Politician | Rajput Karni Sena, Shiv Sena, Bajrang Dal |
| @joanagomez1990 | 113,369 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,141
Followers With Bio
42,855
Followers Without Bio
57.57%
% With Bio
42.43%
% 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 342 analyzed467,285
Combined Engagement
448,460
Total Likes
18,825
Total Retweets
93,457
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Joined as District Collector and Magistrate Jaisalmer today. 🙏🏻 https://t.co/oFKRkKTfUf
#NewProfilePic https://t.co/a1wUy9k90z
Happy Diwali 🪔🌟 https://t.co/VTt6exjLW0
Joined as Joint Secretary Finance (Tax) to Govt of Rajasthan today. https://t.co/4VDlQLoCp5
#NewProfilePic https://t.co/t9CXjMZTqx
Key Insights & Takeaways
The account frequently shares official appointments and roles, indicating a focus on professional achievements. Personal milestones and celebrations are also shared, which helps in building a relatable image. The use of hashtags and links suggests an effort to increase visibility and engagement with specific content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 473,892
- + Strong original content creation
- + 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 @dabi_tina reveals an exceptionally influential Twitter presence with 473,892 followers. The account demonstrates a content-creator strategy, averaging 3,164.2 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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