GST Tech
Official handle of GSTN for info and updates. For Registration: https://services.gst.gov.in/services/quicklinks/registration Common issues: https://services.gst.gov.in/services/errorDescription Grievances: https://selfservice.gstsystem.in/
289,438
Followers
55
Following
68,435
Tweets
0.7
Avg Engagement
427
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Infosys_GSTN'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:2017-05-29
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.5
- Avg Retweets per Tweet:0.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains moderate engagement with an average of 50 likes and 19 retweets per tweet. This suggests a focused audience interested in specific tax-related information.
0.5
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
1,730
Total Likes
563
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
203
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
1.5%
Original
98.5%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
29.4%
With Links
1.1%
With #Tags
98.5%
With @Mentions
0.0%
With Emojis
162
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
66.71
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
86.0%
Weekday Posts
14.0%
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 primary audience includes taxpayers, businesses, and professionals dealing with GST compliance. It also targets individuals and organizations seeking clarity on GST procedures and regulations.
Below Average
Audience Quality
37.4%
Suspicion Index
50.0%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.6%
Empty Bio
59.9%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
77.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
43.5%
<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.
3,649,221
Total Potential Reach
3
Median Follower Reach
13
75th Percentile Reach
0.7%
>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).
17.2%
Creators
8,596 accounts
22.9%
Consumers
11,454 accounts
59.9%
Dormant
29,950 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):
101
Verified Followers
0.1% of total
7,453
Protected Accounts
7.38% of total
4 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 |
|---|---|---|---|
| @SinghLions | 1,334,554 | Restaurateur | Food, Travel, Influencer |
| @business_today | 1,166,674 | Business Magazine | Business, Economy, Magazine Features |
| @DevprakasMeena | 245,449 | Lawyer | Constitutionalist, Tribal, Personal Views |
| @SwissCognitive | 151,273 | AI Hub | AI, network, development |
| @BernardMarr | 137,793 | Futurist | Business, Tech, Data |
| @vijaymilton | 117,121 | Filmmaker | Filmmaking, Dreams, Creativity |
| @abhishekrajaram | 64,567 | Tax Consultant | Taxation, Economic Reform, GST |
| @ShakunthalaHS | 63,716 | - | - |
| @zotaniya_ | 56,182 | Influencer | God, Judge, Time |
| @SyedAKashafQ | 51,124 | Political Strategist | Politics, Social Rights, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,152
Followers With Bio
53,846
Followers Without Bio
46.69%
% With Bio
53.31%
% 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 analyzed460
Combined Engagement
339
Total Likes
121
Total Retweets
92
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Now Taxpayers can transfer the amount in Cash Ledger from one GSTIN to another GSTIN registered on the same PAN through Form GST PMT-09. Navigate to: https://t.co/Z2UlpSoImp > Dashboard> Services> Ledgers> Electronic Cash Ledger #GSTPMT09 #cashledger #gst #gstpaymen
https://t.co/MWazob8NYj
A gentle reminder for the Monthly Filers of #GSTR_3B https://t.co/f8L7qw1zPe
https://t.co/6gsZbX2g2n
Do you want to opt for Composition Scheme for 2023-2024? Watch Video. YouTube Link: https://t.co/xr5hH97DYI This facility is available on the GST portal till 31st March 2023. #gst #compositionscheme https://t.co/xlI6H8Dn5d
Key Insights & Takeaways
The account emphasizes transparency and accessibility in GST processes It provides direct links to registration, common issues, and grievance redressal mechanisms The top tweets highlight key updates like the transfer of funds between GSTINs under the same PAN
Strengths
- + Established follower base of 289,438
- + 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 @Infosys_GSTN reveals an growing Twitter presence with 289,438 followers. The account demonstrates a conversation-first approach, averaging 0.7 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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