Aaditya Thackeray

Aaditya Thackeray

@AUThackeray

Voicing the Youth, President, Yuva Sena. President- Mumbai District Football Association Instagram: adityathackeray

Joined 2013-07-19 Date of Analysis: Dec 16, 2025

3,514,742

Followers

1,440

Following

19,135

Tweets

1,728.7

Avg Engagement

1,021

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @AUThackeray'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:2013-07-19
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:1,446.8
  • Avg Retweets per Tweet:281.9
  • Followers Analyzed:50,000
  • Following Analyzed:10,000

Engagement Analysis

Based on 3,248 tweets

His tweets typically receive an average of 26,254 likes and 2,732 retweets, showing strong audience interaction. The high engagement suggests that his messages are impactful and widely appreciated.

1,446.8

Avg Likes/Tweet

281.9

Avg Retweets/Tweet

4,699,195

Total Likes

915,545

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

964

Median Likes

240

Median Retweets

1,933

75th Percentile

49,738

Top Tweet

0.49

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

54.5%

Original

35.5%

Replies

3.5%

Retweets

6.5%

Quotes

0.0%

Threads

0.3%

With Media

61.2%

With Links

3.8%

With #Tags

40.4%

With @Mentions

7.3%

With Emojis

190

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.65

Reply/Original Ratio

1.86

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.6%

Weekday Posts

25.4%

Weekend Posts

Top Hashtags

#maharashtra (7) #pudhechalamumbai (6) #cwg2022 (5) #प (4) #puneafc (4) #savesoil (4) #hallabol (3) #हल (3) #mumbai (3) #racetozero (3)

Most Mentioned

@mybmc (199) @c40cities (30) @mmrdaofficial (30) @ajitpawarspeaks (25) @mieknathshinde (25) @wef (24) @shivsena (24) @ahirsachinahir (21) @kishoripednekar (21) @mahaenvcc (21)

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Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,769 (54%)
Replies 1,153 (35%)
Retweets 114 (4%)
Quote Tweets 212 (7%)

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 114 retweets (4% 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 3,248 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

AUThackeray's audience primarily consists of young people and activists interested in youth empowerment and political engagement. His content resonates with those passionate about democracy and social change.

Below Average

Audience Quality

43.7%

Suspicion Index

66.7%

Low-Quality %

1

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

75.4%

Empty Bio

72.1%

<10 Tweets

1.9%

Mass Following (>2K)

0.0%

New (<90 days)

84.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

97.0%

No URL

57.9%

<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.

8,516,087

Total Potential Reach

1

Median Follower Reach

6

75th Percentile Reach

0.8%

>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).

11.7%

Creators

5,867 accounts

16.2%

Consumers

8,077 accounts

72.1%

Dormant

36,056 accounts

117

Verified Followers

0.23% of total

2.5%

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):

Mumbai, India (1,062) Pune, India (646) India (525) Maharashtra, India (377) New Delhi, India (214) Mumbai (204) Nashik, India (120) Nagpur, India (118) Uttar Pradesh, India (115) Navi Mumbai, India (110)

188

Verified Followers

0.19% of total

3,360

Protected Accounts

3.33% of total

2 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
@Udhaystalin 3,444,080 Politician Politics, Youth, Leadership
@ZeeBiharNews 1,003,621 News Channel News, Bihar, Jharkhand
@RJDforIndia 988,183 Politics Social Justice, Secularism, Politics
@raghav_chadha 798,869 Politician Politics, Water Management, Chartered Accountancy
@sapnasappuu 418,444 Adult Entertainer Adult Entertainment, Actress, Social Media
@karthickselvaa 391,592 Managing Editor News, Editor, TV
@bharatjodo 270,032 Activist Unity, Nation-building, Social justice
@ManojSinghKAKA 200,568 - -
@_lokeshsharma 166,019 - -
@spiritandsoul1 153,378 - -

Top Keywords in Follower Bios

student (973) indian (817) social (803) love (801) life (704) india (650) engineer (615) proud (430) lover (380) news (369)

Top Hashtags in Follower Bios

#स (28) #म (26) #indian (24) #र (21) #श (20) #भ (20) #क (19) #student (18) #व (17) #प (15)

25,167

Followers With Bio

75,831

Followers Without Bio

24.92%

% With Bio

75.08%

% 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 3,248 analyzed

181,882

Combined Engagement

165,856

Total Likes

16,026

Total Retweets

36,376

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Youth Empowerment Democracy Activism Sports Community Engagement

Network & Following Analysis

Based on 10,000 accounts followed

Following Quality Signals

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

0.1%

Verified Accounts

0.1%

High Authority (>50K)

57.1%

Dormant Accounts

37.3%

Low Quality

6

Median Reach of Followed Accounts

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

96.3%

Individuals

9,626 accounts

1.6%

Brands/Orgs

155 accounts

2.2%

Media/News

219 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Uday Foundation 750,141 - -
@ Kailash Vijayvargiya 721,356 - -
@ Babul Supriyo 156,509 - -
@ Shah Faesal 76,436 - -
@ Pravin Ganore 🇮🇳 70,982 - -
@ Nagma Morarji 55,071 - -
@ Pratik Shinde⚽ 45,709 - -
@ Nirupama Subramanian 32,776 - -
@ Office of R.K. Singh 25,182 - -
@ Dharmesh Patel 24,317 - -

Key Insights & Takeaways

He focuses on youth empowerment and democratic values, which are central to his messaging. His content often includes calls to action and expressions of gratitude, which foster a sense of community. He maintains a strong online presence through multiple platforms, including Instagram, to expand his reach.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 3,514,742
  • + 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 @AUThackeray reveals an exceptionally influential Twitter presence with 3,514,742 followers. The account demonstrates a content-creator strategy, averaging 1,728.7 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