Suraj Singh Parihar IPS🇮🇳

Suraj Singh Parihar IPS🇮🇳

@SurajSinghIPS

। C.O. 4th Bn | ex- ADC to the HG | 1st SP @Gpmpolice | ex-ASP @dantewadapolice | ईशावास्य इदं सर्वं | RTs NOT Endorsement/Views Personal ।

Raipur, India https://www.youtube.com/watch?v=_gD3COPKGPA&feature=youtu.be Joined 2019-08-25 Date of Analysis: Dec 16, 2025

114,489

Followers

3,739

Following

4,016

Tweets

218.8

Avg Engagement

57

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @SurajSinghIPS'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:2019-08-25
  • Verification:No
  • Location:Raipur, India

Data Summary

  • Tweets Analyzed:3,199
  • Avg Likes per Tweet:184.5
  • Avg Retweets per Tweet:34.3
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,199 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal and active follower base.

184.5

Avg Likes/Tweet

34.3

Avg Retweets/Tweet

590,226

Total Likes

109,829

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

34

Median Likes

4

Median Retweets

174

75th Percentile

25,244

Top Tweet

1.91

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

32.4%

Original

44.1%

Replies

12.7%

Retweets

10.8%

Quotes

0.0%

Threads

0.1%

With Media

37.3%

With Links

34.9%

With #Tags

62.9%

With @Mentions

34.9%

With Emojis

145

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.36

Reply/Original Ratio

0.85

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.1%

Weekday Posts

29.9%

Weekend Posts

Top Hashtags

#प (85) #स (72) #upsc (44) #र (35) #द (34) #ब (33) #व (32) #म (30) #ज (27) #क (26)

Most Mentioned

@ipskabra (219) @awanishsharan (207) @surajsinghips (185) @ipsvijrk (130) @gpmpolice (113) @cg_police (94) @arunbothra (62) @ipsdangi (59) @chhattisgarhcmo (45) @ranaashutosh10 (42)

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Content Strategy Analysis

Based on 3,199 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,038 (32%)
Replies 1,410 (44%)
Retweets 406 (13%)
Quote Tweets 345 (11%)

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 406 retweets (13% 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 3,199 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 fellow police officers, UPSC aspirants, and general followers interested in motivational and humorous content. They are likely engaged with his blend of professional and personal posts.

Average

Audience Quality

30.1%

Suspicion Index

32.0%

Low-Quality %

16

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.8%

Empty Bio

33.9%

<10 Tweets

12.4%

Mass Following (>2K)

0.0%

New (<90 days)

69.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.0%

No URL

20.2%

<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 Detector

Follower Reach & Influence

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

38,217,547

Total Potential Reach

16

Median Follower Reach

85

75th Percentile Reach

4.7%

>1K followers

0.8%

>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).

36.0%

Creators

3,598 accounts

30.1%

Consumers

3,010 accounts

33.9%

Dormant

3,392 accounts

66

Verified Followers

0.66% of total

5.6%

Professional Bios

founder, dev, analyst, etc.

0.05

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):

India (309) New Delhi, India (277) Uttar Pradesh, India (160) Lucknow, India (85) Mumbai, India (73) Patna, India (67) Bihar, India (66) Jaipur, India (64) Rajasthan, India (60) Raipur, India (43)

66

Verified Followers

0.66% of total

567

Protected Accounts

5.67% 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
@KapilSharmaK9 19,878,447 Comedian Comedy, Entertainment, Laughter
@JohnCena 14,093,690 Wrestler Wrestling, Motivation, Self-promotion
@HerbertRSim 229,096 Investor Economics, GeoPolitics, AI
@AkkhaPandit 139,394 Digital Marketer Political Ideology, Sanatan Dharma, BJP & RSS
@nitinsangwan 97,821 Civil Servant Government, Civil Service, Haryana
@TheRichaSharma 93,978 Singer Singer, Performer, Live Shows
@g8manish 86,674 Comedian laughter, energy, oxygen
@MeenasSugrive 76,632 - -
@ias_rawat 66,464 - -
@SidBakaria 64,489 - -

Top Keywords in Follower Bios

student (327) india (189) indian (185) life (182) social (155) love (141) upsc (126) engineer (115) news (106) aspirant (96)

Top Hashtags in Follower Bios

#ज (10) #student (10) #indian (9) #र (7) #म (6) #upsc (6) #ह (6) #ब (6) #प (5) #अख (5)

5,618

Followers With Bio

4,382

Followers Without Bio

56.18%

% With Bio

43.82%

% 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 3,199 analyzed

60,393

Combined Engagement

55,159

Total Likes

5,234

Total Retweets

12,079

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

0%

With @Mentions

20%

With Links

Topical Analysis:

Motivation Humor Culture Personal Life Public Service
Suraj Singh Parihar…
@SurajSinghIPS

सारी रात जगा हुआ देख के आशिक समझा क्या ? #UPSC एस्पिरेंट है मैं, झुकेगा नहीं ! #Pushpa

2022-02-01
Retweets: 2,011 Likes: 23,233 Engagement: 25,244
Suraj Singh Parihar…
@SurajSinghIPS

▪ इतिहास गवाह है कि हर गांव में एक दो बुड्ढे ऐसे जरूर होते हैं जिनसे भूत ने कभी ना कभी बीड़ी मांगी होती है! 😂 #justforfun

2021-02-02
Retweets: 579 Likes: 8,995 Engagement: 9,574
Suraj Singh Parihar…
@SurajSinghIPS

क्या आपको पता है भगवान श्रीराम के एक बहन भी थी, उनका नाम किसको किसको पता है?

2022-03-20
Retweets: 458 Likes: 8,800 Engagement: 9,258
Suraj Singh Parihar…
@SurajSinghIPS

उगते सूरज और दौड़ते हुए घोड़े के चित्र लगाने से प्रगति नहीं होती है, प्रगति के लिए सूरज के उगने से लेकर डूबने तक घोड़े की भांति दौड़ना पड़ता हैl

2022-04-07
Retweets: 822 Likes: 8,078 Engagement: 8,900
Suraj Singh Parihar…
@SurajSinghIPS

एक वृद्ध चिड़िया जो उड़ नहीं सकती और जिसके लिए वृद्धाश्रम भी संभव नहीं, उसको एक युवा चिड़िया जो उसकी प्रजाति की भी नहीं है, फीड कर रही है। कितना गहरा संदेश है मानव प्रजाति के लिए !!! https://t.co/LdzEoqNZWJ

2022-05-12
Retweets: 1,364 Likes: 6,053 Engagement: 7,417

Key Insights & Takeaways

He uses humor and relatable content to connect with his audience His posts often include motivational messages for UPSC aspirants and police officers He shares personal experiences and cultural references to engage followers

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 114,489
  • + 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 @SurajSinghIPS reveals an well-established Twitter presence with 114,489 followers. The account demonstrates a conversation-first approach, averaging 218.8 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