Pawan Singh

Pawan Singh

@PawanSingh909

Singer | Actor | Stage Performer | Media Personality.

Mumbai, India https://t.me/PawanSingh909 Joined 2016-03-26 Date of Analysis: 12月 16, 2025

84,346

Followers

59

Following

668

Tweets

1,659.1

Avg Engagement

10

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @PawanSingh909'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:2016-03-26
  • Verification:Yes
  • Location:Mumbai, India

Data Summary

  • Tweets Analyzed:518
  • Avg Likes per Tweet:385.7
  • Avg Retweets per Tweet:1,273.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 518 tweets

His tweets receive an average of 7,129 likes and 513 retweets, showing strong audience interaction. The high engagement indicates that his content resonates well with his followers.

385.7

Avg Likes/Tweet

1,273.4

Avg Retweets/Tweet

199,788

Total Likes

659,624

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

8

Median Retweets

1,389

75th Percentile

111,710

Top Tweet

19.67

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

42.7%

Original

18.7%

Replies

37.8%

Retweets

0.8%

Quotes

0.0%

Threads

0.2%

With Media

61.0%

With Links

42.3%

With #Tags

69.9%

With @Mentions

15.1%

With Emojis

134

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.44

Reply/Original Ratio

0.02

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.7%

Weekday Posts

25.3%

Weekend Posts

Top Hashtags

#pawansingh (74) #bhojpuri (28) #pawanbhaiya (8) #lutgayebhojpuri (6) #tseries (6) #kamariyahilarahihai (6) #gadar (5) #happybirthday (4) #holi (4) #yeholibawaalhoga (4)

Most Mentioned

@narendramodi (95) @be_pawansingh (55) @pawansingh_fc (50) @pawansingh909 (28) @pawansingh7766 (20) @mumbaiaaspaas (18) @bepawansingh (17) @aksharasingh_ (15) @bhojpurifilms (14) @_pawan_singh (12)

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Content Strategy Analysis

Based on 518 tweets

Content Type Distribution

Content Breakdown

Original Tweets 221 (43%)
Replies 97 (19%)
Retweets 196 (38%)
Quote Tweets 4 (1%)

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 196 retweets (38% 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 518 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 50,000 followers

His audience includes fans of his work in music and film, as well as followers interested in cultural and political news. The engagement suggests a loyal and active community that interacts with his content regularly.

Average

Audience Quality

31.2%

Suspicion Index

34.6%

Low-Quality %

4

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40.8%

Empty Bio

47.2%

<10 Tweets

5.3%

Mass Following (>2K)

0.0%

New (<90 days)

69.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.5%

No URL

28.5%

<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.

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Follower Reach & Influence

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

34,507,211

Total Potential Reach

4

Median Follower Reach

29

75th Percentile Reach

2.6%

>1K followers

0.2%

>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).

25.9%

Creators

12,950 accounts

26.9%

Consumers

13,443 accounts

47.2%

Dormant

23,607 accounts

41

Verified Followers

0.08% of total

3.6%

Professional Bios

founder, dev, analyst, etc.

0.04

Median Follow Ratio

follower/following

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):

Bihar, India (1,224) India (1,106) Patna, India (1,048) Uttar Pradesh, India (980) New Delhi, India (813) Mumbai, India (424) Lucknow, India (358) Varanasi, India (238) Gorakhpur, India (201) Ara, India (150)

42

Verified Followers

0.06% of total

4,373

Protected Accounts

5.91% 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
@JohnCena 14,106,760 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,311 - -
@ShahnawazBJP 1,933,459 Politician Politics, Industries, Spokesperson
@ManojTiwariMP 1,744,098 Politician Actor, Singer, Politician
@salim_merchant 1,627,595 Musician composer, musician, singer
@KapilMishra_IND 1,391,457 Politician BJP, Hindu, Unity
@ZeeBiharNews 997,924 News Channel News, Bihar, Jharkhand
@TheeWeirdWorld 248,457 Parody Account Shower Thoughts, Parody, Contact
@DevprakasMeena 245,461 Lawyer Constitutionalist, Tribal, Personal Views
@nirahua1 239,627 Actor Actor, Politician, BJP

Top Keywords in Follower Bios

student (3,248) love (1,726) kumar (1,330) life (1,319) indian (1,210) india (1,174) jai (1,111) bihar (967) music (868) singh (812)

Top Hashtags in Follower Bios

#र (112) #म (72) #क (69) #ह (69) #जय_श (68) #भ (56) #ब (54) #स (51) #द (50) #ज (49)

43,808

Followers With Bio

30,176

Followers Without Bio

59.21%

% With Bio

40.79%

% 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 518 analyzed

222,904

Combined Engagement

18,010

Total Likes

204,894

Total Retweets

44,581

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

20%

With Links

Topical Analysis:

Entertainment Politics Culture Personal Updates Media Awards
Pawan Singh
@PawanSingh909

RT @narendramodi: India has won! भारत की विजय। अच्छे दिन आने वाले हैं।

2016-03-26
Retweets: 111,710 Likes: 0 Engagement: 111,710
Pawan Singh
@PawanSingh909

RT @superstarrajini: Hats off @narendramodi ji. New india is born #JaiHind

2016-12-12
Retweets: 34,289 Likes: 0 Engagement: 34,289
Pawan Singh
@PawanSingh909

RT @narendramodi: भ्रष्टाचार के ख़िलाफ़ लड़ाई में जुड़ने के लिए नीतीश कुमार जी को बहुत-बहुत बधाई। सवा सौ करोड़ नागरिक ईमानदारी का स्वागत और समर्थन कर रहे हैं

2017-07-26
Retweets: 34,074 Likes: 0 Engagement: 34,074
Pawan Singh
@PawanSingh909

RT @narendramodi: देश के, विशेष रूप से बिहार के उज्जवल भविष्य के लिए राजनीतिक मतभेदों से ऊपर उठकर भ्रष्टाचार के ख़िलाफ़ एक होकर लड़ना,आज देश और समय की माँग है

2017-07-26
Retweets: 23,712 Likes: 0 Engagement: 23,712
Pawan Singh
@PawanSingh909

मेरे राजा भैया से आज उनके आवास पर मिलने का सौभाग्य प्राप्त हुआ । जय श्री राम https://t.co/T2z1dc1CU4

2022-03-20
Retweets: 1,109 Likes: 18,010 Engagement: 19,119

Key Insights & Takeaways

He frequently shares personal and celebratory messages, which likely contribute to his high engagement. His tweets often reference cultural and political figures, suggesting a focus on public engagement and awareness. He uses Twitter as a platform to promote his work and acknowledge achievements in the entertainment industry.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 84,346
  • + 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 @PawanSingh909 reveals an exceptionally influential Twitter presence with 84,346 followers. The account demonstrates a content-creator strategy, averaging 1,659.1 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: 12月 16, 2025