Shreyas Talpade

Shreyas Talpade

@shreyastalpade1

Actor, Director, Producer.

Mumbai, India https://linktr.ee/omnamahshivayluvushankar Joined 2011-10-18 Date of Analysis: Dec 16, 2025

298,570

Followers

195

Following

16,914

Tweets

198.1

Avg Engagement

295

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @shreyastalpade1'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:2011-10-18
  • Verification:No
  • Location:Mumbai, India

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:122.3
  • Avg Retweets per Tweet:75.8
  • Followers Analyzed:50,000
  • Following Analyzed:194

Engagement Analysis

Based on 3,244 tweets

Their tweets receive a high level of engagement, with an average of 10,664 likes and 1,582 retweets per post. They often interact with their followers and express gratitude for their support.

122.3

Avg Likes/Tweet

75.8

Avg Retweets/Tweet

396,616

Total Likes

246,021

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

11

Median Likes

2

Median Retweets

76

75th Percentile

40,605

Top Tweet

0.66

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

19.9%

Original

35.6%

Replies

15.3%

Retweets

29.3%

Quotes

0.0%

Threads

0.2%

With Media

49.2%

With Links

24.8%

With #Tags

88.5%

With @Mentions

34.0%

With Emojis

100

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.79

Reply/Original Ratio

1.91

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.8%

Weekday Posts

29.2%

Weekend Posts

Top Hashtags

#setters (75) #kaunpravintambe (41) #golmaalagain (40) #shreyastalpade (33) #mindwars (20) #babycomenaa (20) #thelionking (16) #rohitshetty (15) #pawanmalhotra (13) #emergency (12)

Most Mentioned

@shreyastalpade1 (196) @aftabshivdasani (112) @dhoopashwini (106) @ninerasaonline (67) @sonnalliseygall (60) @ishidutta (55) @tusshkapoor (51) @settersthefilm (46) @deeptitalpade (43) @vmanit (43)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 644 (20%)
Replies 1,155 (36%)
Retweets 496 (15%)
Quote Tweets 949 (29%)

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 496 retweets (15% 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

The audience primarily consists of fans and followers interested in their career and projects. They are likely to be fans of Bollywood and Indian cinema.

Below Average

Audience Quality

35.0%

Suspicion Index

37.3%

Low-Quality %

8

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.9%

Empty Bio

45.4%

<10 Tweets

8.4%

Mass Following (>2K)

0.0%

New (<90 days)

84.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.5%

No URL

28.6%

<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.

24,356,372

Total Potential Reach

8

Median Follower Reach

36

75th Percentile Reach

1.4%

>1K followers

0.1%

>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).

27.5%

Creators

13,769 accounts

27.1%

Consumers

13,540 accounts

45.4%

Dormant

22,691 accounts

112

Verified Followers

0.22% of total

4.6%

Professional Bios

founder, dev, analyst, etc.

0.02

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 (1,219) Mumbai, India (894) New Delhi, India (634) Pune, India (581) Kolkata, India (301) Maharashtra, India (260) Hyderabad, India (256) Dhaka, Bangladesh (252) Bengaluru, India (219) Mumbai (216)

202

Verified Followers

0.2% of total

8,536

Protected Accounts

8.45% of total

4 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 14,102,394 Wrestler Wrestling, Motivation, Self-promotion
@ActorMadhavan 3,101,013 Actor Movies, Acting, Blessed
@ashchanchlani 2,451,308 YouTuber Work, MCU, Love
@SinghLions 1,334,621 Restaurateur Food, Travel, Influencer
@thebetterindia 801,927 Media Uplifting stories, social impact, India
@unkonfined 658,831 Influencer -
@RVCJ_FB 639,078 Media Entertainment, Humor, Viral
@etimes 577,373 Entertainment News Bollywood, Regional cinema, Hollywood
@IamMzilikazi 546,702 Musician Pan-African music, Album, Rise
@JoseCanseco 509,674 Athlete Baseball, Author, Speaker

Top Keywords in Follower Bios

love (3,326) life (2,566) student (2,295) indian (1,975) lover (1,471) proud (1,338) india (1,283) engineer (1,222) music (967) cricket (957)

Top Hashtags in Follower Bios

#म (55) #indian (50) #cricket (47) #र (35) #student (34) #music (32) #engineer (32) #ह (31) #मर (30) #love (29)

58,436

Followers With Bio

42,561

Followers Without Bio

57.86%

% With Bio

42.14%

% 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

139,152

Combined Engagement

89,056

Total Likes

50,096

Total Retweets

27,830

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Gratitude Bollywood Film Promotion Fan Interaction Professional Achievements

Network & Following Analysis

Based on 194 accounts followed

Following Quality Signals

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

57.2%

Verified Accounts

49.5%

High Authority (>50K)

1.0%

Dormant Accounts

2.6%

Low Quality

47,422

Median Reach of Followed Accounts

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

34.5%

Individuals

67 accounts

61.9%

Brands/Orgs

120 accounts

3.6%

Media/News

7 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Narendra Modi 69,161,540 - -
@ Amitabh Bachchan 45,730,422 - -
@ Salman Khan 42,490,456 - -
@ Shah Rukh Khan 41,767,695 - -
@ Akshay Kumar 41,586,479 - -
@ Sachin Tendulkar 35,589,425 - -
@ A.R.Rahman #99Songs 😷 23,685,185 - -
@ Alia Bhatt 20,905,073 - -
@ Rohit Sharma 18,999,002 - -
@ Ajay Devgn 14,332,848 - -

Key Insights & Takeaways

They frequently express gratitude and appreciation for their fans' support. They highlight their roles in major projects and collaborations. They use hashtags to promote their work and engage with their audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 298,570
  • + 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 @shreyastalpade1 reveals an well-established Twitter presence with 298,570 followers. The account demonstrates a conversation-first approach, averaging 198.1 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: Dec 16, 2025