Sushil Kedia

Sushil Kedia

@sushilkedia

Bio: https://in.linkedin.com/in/sushilkedia | Founder: @kedianomics |

Mumbai https://www.sushilkedia.com/ Joined 2009-10-23 Date of Analysis: Dec 16, 2025

65,265

Followers

1,069

Following

62,917

Tweets

447.4

Avg Engagement

234

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sushilkedia'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:2009-10-23
  • Verification:No
  • Location:Mumbai

Data Summary

  • Tweets Analyzed:3,234
  • Avg Likes per Tweet:62.3
  • Avg Retweets per Tweet:385.1
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,234 tweets

His tweets typically receive high engagement, with an average of 8,881 likes and 2,392 retweets. This indicates a strong connection with his followers and relevance to current issues.

62.3

Avg Likes/Tweet

385.1

Avg Retweets/Tweet

201,494

Total Likes

1,245,536

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

5

Median Retweets

102

75th Percentile

85,757

Top Tweet

6.86

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

28.9%

Original

29.0%

Replies

36.4%

Retweets

5.8%

Quotes

0.0%

Threads

0.3%

With Media

35.7%

With Links

48.4%

With #Tags

75.4%

With @Mentions

4.9%

With Emojis

181

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

1.0

Reply/Original Ratio

0.16

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

69.7%

Weekday Posts

30.3%

Weekend Posts

Top Hashtags

#nifty (231) #goodnight (212) #banknifty (156) #stockmarket (90) #krishna (78) #exclusive (46) #newindia (44) #marketwithswadesh (36) #goodmorning (35) #snp500 (33)

Most Mentioned

@kedianomics (547) @sushilkedia (228) @narendramodi (194) @iskconinc (98) @aranganathan72 (88) @etnowswadesh (88) @ajaya_buddy (72) @uppal_priyankaa (60) @pmoindia (56) @rishibagree (49)

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Content Strategy Analysis

Based on 3,234 tweets

Content Type Distribution

Content Breakdown

Original Tweets 934 (29%)
Replies 937 (29%)
Retweets 1,176 (36%)
Quote Tweets 187 (6%)

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 1,176 retweets (36% 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 3,234 tweets

Engagement 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 followers

His audience includes individuals interested in politics, social justice, and public policy. The engagement suggests a focus on public figures and current events.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

11

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.1%

No URL

100.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

2,619,054

Total Potential Reach

11

Median Follower Reach

45

75th Percentile Reach

2.2%

>1K followers

0.4%

>10K followers

0.1%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

India (438) New Delhi, India (267) Mumbai, India (222) Pune, India (113) Mumbai (92) Bengaluru, India (87) Kolkata, India (58) Jaipur, India (52) Ahmadabad City, India (50) Gurgaon, India (48)

0

Verified Followers

0.0% of total

637

Protected Accounts

6.37% of total

6 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
@rishibagree 330,455 Political observer Politics, Investing, Research
@pbillore141 297,362 Entrepreneur Education, Entrepreneurship, Economy
@mohitbharatiya_ 162,585 Politician BJP, Karyakarta, Justice
@nitinmurarkasmc 75,722 Options Trader Options trading, Market data, Telegram channel
@wokeflix_ 68,399 - -
@kparveen2005 57,981 - -
@davemansi145 56,115 News Anchor News, Anchor, Analyst
@Aditya_joshi12 48,805 - -
@PrabhuNs_ 41,332 Politician Politics, News, Technology
@Sanju_Lakshya 40,331 - -

Top Keywords in Follower Bios

trader (348) investor (220) indian (206) market (186) life (172) engineer (171) stock (162) love (159) personal (138) proud (136)

Top Hashtags in Follower Bios

#trader (17) #banknifty (12) #nifty (10) #investing (9) #trading (8) #investor (7) #finance (6) #stockmarket (6) #stocks (6) #learner (5)

4,425

Followers With Bio

5,575

Followers Without Bio

44.25%

% With Bio

55.75%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,234 analyzed

260,754

Combined Engagement

30,596

Total Likes

230,158

Total Retweets

52,151

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

20%

With Links

Topical Analysis:

Politics Social Justice Accountability Governance Public Policy
Sushil Kedia
@sushilkedia

RT @vinodkapri: This is PURE GOLD❤️❤️ नोएडा की सड़क पर कल रात 12 बजे मुझे ये लड़का कंधे पर बैग टांगें बहुत तेज़ दौड़ता नज़र आया मैंने सोचा किसी परेशानी में होगा , लिफ़्ट देनी चाहिए बार बार लिफ़्ट का ऑफ़र किया पर इसने मना कर दिया वजह सुनेंगे तो आपको इस बच्चे से प्यार हो जाएगा

2022-03-20
Retweets: 85,757 Likes: 0 Engagement: 85,757
Sushil Kedia
@sushilkedia

RT @RNTata2000: Welcome back, Air India 🛬🏠 https://t.co/euIREDIzkV

2022-01-28
Retweets: 79,278 Likes: 0 Engagement: 79,278
Sushil Kedia
@sushilkedia

जज़ साहेब, आपके कोर्ट में न्याय मांगने आते हैं हम, ज्ञान मांगने नहीं!

2022-07-01
Retweets: 5,780 Likes: 30,596 Engagement: 36,376
Sushil Kedia
@sushilkedia

RT @myogiadityanath: उत्तर प्रदेश में #TheKashmirFiles फिल्म टैक्स फ्री कर दी गई है।

2022-03-15
Retweets: 31,788 Likes: 0 Engagement: 31,788
Sushil Kedia
@sushilkedia

RT @gautam_adani: उड़ीसा की रेल दुर्घटना से हम सभी बेहद व्यथित हैं। हमने फैसला लिया है कि जिन मासूमों ने इस हादसे में अपने अभिभावकों को खोया है उनकी स्कूली शिक्षा की जिम्मेदारी अडाणी समूह उठाएगा। पीड़ितों एवं उनके परिजनों को संबल और बच्चों को बेहतर कल मिले यह हम सभी की संयुक्त

2023-06-04
Retweets: 27,555 Likes: 0 Engagement: 27,555

Key Insights & Takeaways

He frequently interacts with prominent political figures and public officials. His content often highlights social justice and calls for accountability. He uses Twitter as a platform to advocate for transparency and reform.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 65,265
  • + 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 @sushilkedia reveals an well-established Twitter presence with 65,265 followers. The account demonstrates a conversation-first approach, averaging 447.4 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025