Pooja Bhatt

Pooja Bhatt

@PoojaB1972

Actor,film-maker,production designer,earth-bound mermaid.

Joined 2009-08-08 Date of Analysis: Dec 16, 2025

454,987

Followers

497

Following

21,570

Tweets

732.4

Avg Engagement

842

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @PoojaB1972'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:2009-08-08
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:178.5
  • Avg Retweets per Tweet:553.9
  • Followers Analyzed:50,000
  • Following Analyzed:599

Engagement Analysis

Based on 3,244 tweets

Her tweets receive high engagement, averaging over 10k likes and 1.6k retweets, indicating a loyal and active audience. She often interacts with fans and fellow celebrities.

178.5

Avg Likes/Tweet

553.9

Avg Retweets/Tweet

579,034

Total Likes

1,796,911

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

5

Median Retweets

152

75th Percentile

562,092

Top Tweet

1.61

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

10.4%

Original

46.7%

Replies

29.4%

Retweets

13.6%

Quotes

0.0%

Threads

0.3%

With Media

24.7%

With Links

16.1%

With #Tags

83.4%

With @Mentions

43.9%

With Emojis

115

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.51

Reply/Original Ratio

0.46

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.3%

Weekday Posts

26.7%

Weekend Posts

Top Hashtags

#rbalki (61) #chuprevengeoftheartist (60) #chupon23september (39) #gaurishinde (33) #chup (28) #chupincinemasnow (20) #bandra (11) #bharatjodoyatra (10) #bombaybegums (10) #rakeshjhunjhunwala (10)

Most Mentioned

@dulquer (104) @schandillia (103) @iamsunnydeol (97) @shruti_my_voice (94) @mncdfbombay (93) @shreyadhan13 (89) @rajasen (87) @hopeprodn (74) @vishalsinha_dop (61) @atti_cus (59)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 336 (10%)
Replies 1,514 (47%)
Retweets 953 (29%)
Quote Tweets 441 (14%)

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 953 retweets (29% 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 3,244 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

Her audience is primarily interested in entertainment, art, and cultural events, with a strong following in India. They appreciate her creative work and personal expressions.

Average

Audience Quality

28.2%

Suspicion Index

28.8%

Low-Quality %

27

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40.9%

Empty Bio

27.1%

<10 Tweets

15.1%

Mass Following (>2K)

0.0%

New (<90 days)

66.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.0%

No URL

16.6%

<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.

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Follower Reach & Influence

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

78,103,662

Total Potential Reach

27

Median Follower Reach

116

75th Percentile Reach

5.0%

>1K followers

0.7%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

50.4%

Creators

25,220 accounts

22.4%

Consumers

11,212 accounts

27.1%

Dormant

13,568 accounts

460

Verified Followers

0.92% of total

7.1%

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 (1,697) New Delhi, India (1,114) Mumbai, India (973) Hyderabad, India (351) Pune, India (307) Uttar Pradesh, India (256) Lucknow, India (251) Bengaluru, India (242) Kolkata, India (236) Mumbai (232)

835

Verified Followers

0.83% of total

8,519

Protected Accounts

8.43% of total

5 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 19,861,518 Comedian Comedy, Entertainment, Laughter
@JohnCena 14,104,428 Wrestler Wrestling, Motivation, Self-promotion
@priyankagandhi 5,376,392 Politician Politics, Leadership, Congress
@asmashirazi 3,871,158 Journalist Journalism, Courage, Ethics
@dulQuer 2,462,831 Actor Film, Business, Auto Enthusiast
@konkonas 2,295,220 Actor Indian cinema, Atheism, Film directing
@TheVikasKhanna 2,258,480 Chef Cooking, Writing, Filmmaking
@NetflixIndia 1,785,060 Customer service Movies, TV shows, Customer service
@DianaPenty 1,691,254 Writer Writing, Editing, Creativity
@SinghLions 1,334,858 Restaurateur Food, Travel, Influencer

Top Keywords in Follower Bios

love (3,195) indian (2,562) life (2,341) student (1,921) social (1,672) india (1,657) proud (1,600) engineer (1,556) lover (1,440) personal (1,124)

Top Hashtags in Follower Bios

#indian (51) #स (41) #म (41) #cricket (35) #student (35) #social (34) #india (33) #क (28) #writer (28) #र (28)

61,897

Followers With Bio

39,101

Followers Without Bio

61.29%

% With Bio

38.71%

% 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 3,244 analyzed

1,003,368

Combined Engagement

37,639

Total Likes

965,729

Total Retweets

200,674

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Entertainment Art Culture Social Support Personal Expression

Network & Following Analysis

Based on 599 accounts followed

Following Quality Signals

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

52.6%

Verified Accounts

44.2%

High Authority (>50K)

0.5%

Dormant Accounts

1.8%

Low Quality

35,146

Median Reach of Followed Accounts

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

34.1%

Individuals

204 accounts

63.6%

Brands/Orgs

381 accounts

2.3%

Media/News

14 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Twitter 59,235,230 - -
@ Joe Biden 30,694,837 - -
@ Alia Bhatt 20,904,871 - -
@ Rahul Gandhi 19,092,006 - -
@ TIME 18,113,440 - -
@ Akhilesh Yadav 14,208,833 - -
@ UberFacts 13,681,172 - -
@ Bernie Sanders 12,186,126 - -
@ President Biden 11,983,362 - -
@ Simon Cowell 11,045,142 - -

Key Insights & Takeaways

She leverages her platform to support and celebrate fellow artists, which strengthens her connection with her audience. Her content often blends personal expression with cultural and social themes, making it relatable and engaging. She uses hashtags effectively to promote events and connect with her community.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 454,987
  • + 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 @PoojaB1972 reveals an well-established Twitter presence with 454,987 followers. The account demonstrates a conversation-first approach, averaging 732.4 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