Vin

Vin

@vinrana1986

Sometimes i just want to give it all up and become a handsome billionaire. actor,fitness freak,workoholic,non-alcoholic,family lover!

mumbai,india https://t.co/gheOdR0fTS Joined 2013-07-14 Date of Analysis: Dec 16, 2025

329,510

Followers

27

Following

5,908

Tweets

91.5

Avg Engagement

270

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @vinrana1986'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:2013-07-14
  • Verification:No
  • Location:mumbai,india

Data Summary

  • Tweets Analyzed:3,020
  • Avg Likes per Tweet:33.9
  • Avg Retweets per Tweet:57.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,020 tweets

The average engagement per tweet suggests a consistent but not overwhelming level of interaction. Their top tweets often include emotional or personal content, which may drive higher engagement.

33.9

Avg Likes/Tweet

57.7

Avg Retweets/Tweet

102,310

Total Likes

174,171

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

8

Median Likes

4

Median Retweets

59

75th Percentile

74,897

Top Tweet

0.28

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

35.9%

Original

9.8%

Replies

38.0%

Retweets

16.3%

Quotes

0.0%

Threads

0.8%

With Media

57.7%

With Links

30.6%

With #Tags

54.0%

With @Mentions

33.8%

With Emojis

87

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.27

Reply/Original Ratio

0.43

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

69.5%

Weekday Posts

30.5%

Weekend Posts

Top Hashtags

#vishkanya (109) #kumkumbhagya (58) #poison2 (56) #kawach (45) #revengeneverends (42) #vinrana (32) #poison2onzee5 (29) #purab (28) #zeetv (24) #zee5 (23)

Most Mentioned

@vinrana1986 (840) @nitasofiani (250) @zeetv (104) @zee5premium (94) @aftabshivdasani (54) @yuliz_rose (49) @iamlakshmirai (48) @colorstv (45) @seriesantv (44) @shabirahluwalia (43)

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Content Strategy Analysis

Based on 3,020 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,084 (36%)
Replies 295 (10%)
Retweets 1,148 (38%)
Quote Tweets 493 (16%)

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 1,148 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 3,020 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

Vinrana1986's audience likely includes fans of their acting career, fitness enthusiasts, and individuals interested in personal stories and emotional content. Their followers may also be drawn to their candid and expressive nature.

Below Average

Audience Quality

38.4%

Suspicion Index

47.8%

Low-Quality %

3

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

50.0%

Empty Bio

63.0%

<10 Tweets

4.3%

Mass Following (>2K)

0.0%

New (<90 days)

81.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.9%

No URL

45.5%

<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.

4,699,261

Total Potential Reach

3

Median Follower Reach

12

75th Percentile Reach

0.9%

>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).

15.9%

Creators

7,971 accounts

21.0%

Consumers

10,514 accounts

63.0%

Dormant

31,515 accounts

20

Verified Followers

0.04% of total

1.8%

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):

Indonesia (769) India (713) Kota Palembang, Sumatera Selat (589) Mumbai, India (268) Jakarta Capital Region (262) East Java, Indonesia (255) New Delhi, India (252) Kolkata, India (214) Kota Surabaya, Jawa Timur (187) Kediri, Jawa Timur (173)

37

Verified Followers

0.04% of total

7,204

Protected Accounts

7.13% of total

6 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
@BeatsByAssassin 2,264,230 Multitalented Actor, Director, Rapper
@ZeeTV 1,255,267 Entertainment Entertainment, Television, Bollywood
@rei_17 504,614 Content Creator 魂音泉, ジョジョ, FGO
@djkingassassin 474,364 DJ Music, Club, Producer
@mrunal0801 366,476 Actor Bollywood, Acting, India
@ceoworld 335,182 CEO business, leadership, journalism
@MrPEC_Tacular 270,161 Wrestler Wrestling, TV, Music
@AestheticEvExpo 247,563 Influencer Marketing Beauty, Influencers, Campaigns
@msdhoni7781 242,453 Cricketer Cricket, IPL, Captain Cool
@KOMINERT 223,538 Talent Agent Music Promotion, Talent Agents, RnB/Soul

Top Keywords in Follower Bios

love (2,780) life (1,410) yang (1,191) olahraga (1,141) yg (1,112) ig (1,085) music (1,073) musik (990) hiburan (974) keluarga (947)

Top Hashtags in Follower Bios

#love (28) #student (20) #music (19) #abhigya (18) #kumkumbhagya (16) #instagram (16) #indian (15) #i (14) #my (13) #foodie (12)

46,074

Followers With Bio

54,925

Followers Without Bio

45.62%

% With Bio

54.38%

% 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 3,020 analyzed

133,532

Combined Engagement

0

Total Likes

133,532

Total Retweets

26,706

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Personal Expression Entertainment Fitness Family Emotional Storytelling

Key Insights & Takeaways

Their bio highlights personal aspirations and interests, which may influence their content focus. They frequently share emotional or personal stories, which could be a key driver of engagement. Their top tweets often reference popular culture or personal milestones, indicating a mix of entertainment and self-expression.

Strengths

  • + Established follower base of 329,510
  • + 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 @vinrana1986 reveals an growing Twitter presence with 329,510 followers. The account demonstrates a content-creator strategy, averaging 91.5 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