manoj bajpayee

manoj bajpayee

@BajpayeeManoj

#JORAM, Book Tickets NOW https://linktr.ee/Joram_

Mumbai Joined 2010-04-29 Date of Analysis: Dec 16, 2025

1,793,505

Followers

1,593

Following

34,194

Tweets

349.6

Avg Engagement

867

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @BajpayeeManoj'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:2010-04-29
  • Verification:No
  • Location:Mumbai

Data Summary

  • Tweets Analyzed:3,208
  • Avg Likes per Tweet:325.0
  • Avg Retweets per Tweet:24.7
  • Followers Analyzed:50,000
  • Following Analyzed:1,500

Engagement Analysis

Based on 3,208 tweets

Bajpayee's tweets receive a high number of likes and retweets on average, indicating strong audience interest and interaction. His content is well-received, with a notable portion of engagement coming from religious and cultural themes.

325.0

Avg Likes/Tweet

24.7

Avg Retweets/Tweet

1,042,527

Total Likes

79,145

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

2

Median Retweets

44

75th Percentile

54,354

Top Tweet

0.19

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

7.0%

Original

24.0%

Replies

60.3%

Retweets

8.7%

Quotes

0.0%

Threads

0.3%

With Media

21.3%

With Links

40.1%

With #Tags

93.4%

With @Mentions

38.1%

With Emojis

112

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.42

Reply/Original Ratio

0.14

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

65.2%

Weekday Posts

34.8%

Weekend Posts

Top Hashtags

#gulmohar (312) #gulmoharonhotstar (245) #sharmilatagore (129) #manojbajpayee (121) #galiguleiyan (76) #gulmoharmovie (41) #surajsharma (35) #joram (30) #soup (28) #bandaa (26)

Most Mentioned

@bajpayeemanoj (1164) @disneyplushs (289) @simranbaggaoffc (185) @rahulchittella (129) @primevideoin (90) @suparn (71) @rajndk (66) @utsavijhamusic (61) @starstudios_ (55) @apurvasrani (52)

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Content Strategy Analysis

Based on 3,208 tweets

Content Type Distribution

Content Breakdown

Original Tweets 225 (7%)
Replies 769 (24%)
Retweets 1,935 (60%)
Quote Tweets 279 (9%)

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 1,935 retweets (60% 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 3,208 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 followers are primarily fans of his acting career and those interested in Bollywood and regional cinema. The audience is engaged with his personal updates and promotional content for his films.

Below Average

Audience Quality

35.2%

Suspicion Index

44.2%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

56.4%

Empty Bio

48.5%

<10 Tweets

4.4%

Mass Following (>2K)

0.0%

New (<90 days)

79.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.2%

No URL

31.9%

<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.

55,218,869

Total Potential Reach

7

Median Follower Reach

26

75th Percentile Reach

1.4%

>1K followers

0.2%

>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).

24.5%

Creators

12,270 accounts

26.9%

Consumers

13,465 accounts

48.5%

Dormant

24,265 accounts

209

Verified Followers

0.42% of total

4.6%

Professional Bios

founder, dev, analyst, etc.

0.03

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 (1,212) New Delhi, India (839) Mumbai, India (576) Kolkata, India (297) Uttar Pradesh, India (282) Pune, India (280) Bihar, India (278) Patna, India (273) Bengaluru, India (272) Hyderabad, India (230)

292

Verified Followers

0.29% of total

7,339

Protected Accounts

7.27% 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
@ImRaina 20,928,880 Cricketer Cricket, Co-Founder, Care
@JohnCena 14,105,330 Wrestler Wrestling, Motivation, Self-promotion
@rampalarjun 4,443,095 Actor Music, Fate, Inspiration
@AUThackeray 3,490,304 Politician Youth, Poems, Photography
@anupamachopra 1,510,782 Film Critic Film, Critic, Journalism
@iPoonampandey 1,302,007 Model Model, Actress, Controversial
@GuruOfficial 1,176,133 - -
@rjraunac 999,797 Radio Jockey Radio, Bauaa, Comedy
@RandeepHooda 961,415 Actor Actor, Equestrian, Sportsman
@Razarumi 575,203 Journalist Journalism, public policy, intl development

Top Keywords in Follower Bios

student (2,254) love (2,240) life (1,986) indian (1,604) proud (1,015) india (999) lover (991) engineer (924) jai (755) social (711)

Top Hashtags in Follower Bios

#indian (45) #म (28) #र (23) #student (22) #love (22) #भ (21) #ज (20) #engineer (20) #cricket (19) #जय_श (18)

48,275

Followers With Bio

52,723

Followers Without Bio

47.8%

% With Bio

52.2%

% 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 3,208 analyzed

196,888

Combined Engagement

184,820

Total Likes

12,068

Total Retweets

39,378

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

80%

With Links

Topical Analysis:

Film Promotions Religious Celebrations Personal Updates

Network & Following Analysis

Based on 1,500 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

60.3%

Verified Accounts

51.7%

High Authority (>50K)

3.6%

Dormant Accounts

5.2%

Low Quality

59,939

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

30.9%

Individuals

464 accounts

66.5%

Brands/Orgs

997 accounts

2.6%

Media/News

39 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Barack Obama 129,630,185 - -
@ Justin Bieber 113,859,316 - -
@ Ariana Grande 83,310,740 - -
@ Ellen DeGeneres 78,158,037 - -
@ YouTube 72,841,319 - -
@ Narendra Modi 69,161,399 - -
@ CNN Breaking News 61,025,929 - -
@ Twitter 59,235,447 - -
@ Elon Musk 57,294,520 - -
@ Bill Gates 55,013,993 - -

Key Insights & Takeaways

His top tweets often include religious greetings, indicating a focus on cultural and spiritual content. He frequently shares personal updates and promotional material for his films, which drives engagement. His verified status is low, suggesting a mix of personal and professional content in his tweets.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,793,505
  • + 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 @BajpayeeManoj reveals an well-established Twitter presence with 1,793,505 followers. The account demonstrates a conversation-first approach, averaging 349.6 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.

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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