Subramanian Swamy
President of Virat Hindustan Sangam, fmr Cabinet Minister, Six terms MP, Member BJP, Harvard Ph.D (Economics), former Professor, I give as good as I get.
10,890,208
Followers
123
Following
116,888
Tweets
400.6
Avg Engagement
4,921
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Swamy39'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: Mega Influencer (1M+)
- Account Age:2009-07-28
- Verification:No
- Location:New Delhi
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:311.8
- Avg Retweets per Tweet:88.8
- Followers Analyzed:50,000
- Following Analyzed:25
Engagement Analysis
Based on 3,237 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests a politically active and interested audience.
311.8
Avg Likes/Tweet
88.8
Avg Retweets/Tweet
1,009,163
Total Likes
287,448
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
23
Median Retweets
152
75th Percentile
30,095
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
Curator
Amplifies others content frequently
13.7%
Original
37.1%
Replies
48.7%
Retweets
0.5%
Quotes
0.0%
Threads
0.2%
With Media
21.3%
With Links
5.2%
With #Tags
86.9%
With @Mentions
6.7%
With Emojis
159
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.7
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.9%
Weekday Posts
31.1%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,237 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 1,575 retweets (49% 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 3,237 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 followersHis audience includes political enthusiasts and followers of his political activities. Many are interested in his opinions on economic and governance issues.
Below Average
Audience Quality
39.6%
Suspicion Index
58.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.8%
Empty Bio
64.2%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
78.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
48.6%
<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.
3,306,714
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
0.8%
>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).
14.7%
Creators
7,347 accounts
21.1%
Consumers
10,574 accounts
64.2%
Dormant
32,079 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):
228
Verified Followers
0.23% of total
4,795
Protected Accounts
4.75% of total
2 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 |
|---|---|---|---|
| @RVCJ_FB | 630,561 | Media | Entertainment, Humor, Viral |
| @SSscoop475 | 241,444 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @conquerer1 | 237,702 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @Aarzaai_Ishq | 231,275 | Poet | Poetry, Quotes, Promotion |
| @Matru_Bhoomi | 184,640 | - | - |
| @IAMCouncil | 158,400 | Advocacy | advocacy, peace, justice |
| @jamesvgingerich | 122,070 | Automation Expert | RPA, Digital Transformation, InsurTech |
| @simplykashif | 113,935 | Entrepreneur | Crypto, Brand Building, Cricket |
| @kgahlot | 96,385 | Politician | Law, Transport, WCD |
| @AjitPai | 84,771 | Businessman | FCC, Partner, Chiefs fan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,210
Followers With Bio
67,782
Followers Without Bio
32.88%
% With Bio
67.12%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed128,697
Combined Engagement
112,044
Total Likes
16,653
Total Retweets
25,739
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
A former Union Minister’s discovery: https://t.co/DyFHVPJHLQ
At my renovated office at my residence in Nizamuddin https://t.co/DGn9ogucmW
My advice to Modi: Nationalise the entire commercial properties of Adani & Co for “ negative” payment and later auction the properties.
Is this a Budget presented today? It is a grocery store shopkeeper’s Bill — A decent Budget should disclose what are the Objectives. If it is GDP growth rate then disclose the level of investment and rate of return; the priorities, the economic strategy, &resource mobilisatio
Modi government is unable to fix the economy or Chinese aggression but is taking on SC for nothing more that seeking the right to appoint loyal dummies as Judges. Is this called governance or dadagiri?
Network & Following Analysis
Based on 25 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
0.0%
Verified Accounts
0.0%
High Authority (>50K)
80.0%
Dormant Accounts
44.0%
Low Quality
1
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
92.0%
Individuals
23 accounts
8.0%
Brands/Orgs
2 accounts
0.0%
Media/News
0 accounts
Most Influential Accounts They Follow
Key Insights & Takeaways
He frequently shares personal updates and political commentary. His tweets often include links to articles and personal experiences. He uses his platform to voice opinions on economic and political matters.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,890,208
- + 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 @Swamy39 reveals an well-established Twitter presence with 10,890,208 followers. The account demonstrates a conversation-first approach, averaging 400.6 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access