Nighat Abbass🇮🇳

Nighat Abbass🇮🇳

@abbas_nighat

Lawyer, General Secretary Youth Wing @bjp4delhi , Social Activist, Trustee Stree Roshni NGO

New Delhi, India https://t.co/FgXoy7aFZY Joined 2016-06-02 Date of Analysis: Dec 16, 2025

366,952

Followers

1,504

Following

12,372

Tweets

1,689.4

Avg Engagement

163

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @abbas_nighat'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:2016-06-02
  • Verification:No
  • Location:New Delhi, India

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:764.9
  • Avg Retweets per Tweet:924.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

His tweets typically receive high engagement, with an average of 33,973 likes and 6,120 retweets per post. The content is designed to spark discussion and share personal insights on societal topics.

764.9

Avg Likes/Tweet

924.5

Avg Retweets/Tweet

2,485,152

Total Likes

3,003,676

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

254

Median Retweets

1,681

75th Percentile

79,016

Top Tweet

4.6

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

16.0%

Original

3.1%

Replies

70.6%

Retweets

10.2%

Quotes

0.0%

Threads

0.0%

With Media

41.9%

With Links

19.6%

With #Tags

81.2%

With @Mentions

13.5%

With Emojis

123

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.2

Reply/Original Ratio

0.15

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

75.2%

Weekday Posts

24.8%

Weekend Posts

Top Hashtags

#भ (26) #क (21) #aap (19) #bjpmatlabseva (16) #aapkepaap (12) #corruptmanish (12) #mannkibaat (11) #bjpsweepingmcd (11) #antihindukejriwal (11) #siya (11)

Most Mentioned

@bjp4delhi (498) @narendramodi (460) @adeshguptabjp (323) @arvindkejriwal (175) @virend_sachdeva (163) @jpnadda (97) @neelkantbakshi (96) @amitmalviya (95) @manojtiwarimp (83) @mpdrbholasingh (66)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 521 (16%)
Replies 102 (3%)
Retweets 2,293 (71%)
Quote Tweets 333 (10%)

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 2,293 retweets (71% 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 3,249 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 audience includes individuals interested in social justice, environmental issues, and political activism. The content appeals to a mix of young and older demographics, particularly in urban areas.

Average

Audience Quality

26.5%

Suspicion Index

31.7%

Low-Quality %

18

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

49.1%

Empty Bio

25.0%

<10 Tweets

9.4%

Mass Following (>2K)

0.0%

New (<90 days)

62.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.6%

No URL

14.3%

<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.

61,327,003

Total Potential Reach

18

Median Follower Reach

84

75th Percentile Reach

3.8%

>1K followers

0.4%

>10K followers

0.1%

>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).

48.3%

Creators

24,131 accounts

26.8%

Consumers

13,387 accounts

25.0%

Dormant

12,482 accounts

348

Verified Followers

0.7% of total

4.9%

Professional Bios

founder, dev, analyst, etc.

0.06

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 (1,766) New Delhi, India (1,309) Mumbai, India (536) Uttar Pradesh, India (478) Lucknow, India (335) Pune, India (227) Jaipur, India (219) Bihar, India (194) Bengaluru, India (192) Patna, India (191)

573

Verified Followers

0.57% of total

6,296

Protected Accounts

6.23% 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
@JohnCena 14,103,377 Wrestler Wrestling, Motivation, Self-promotion
@smritiirani 12,727,281 Politician Women's empowerment, Child welfare, Politics
@PiyushGoyal 11,790,173 Politician Commerce, Industry, Textiles
@anjanaomkashyap 4,787,063 Journalist News, Journalism, Politics
@awasthis 1,092,995 Journalist News, Journalism, Media
@Sima_Sabet 688,878 TV Host Politics, International Relations, Talk Shows
@HardeepSPuri 589,198 Politician Politics, Urban Development, Energy
@worthSeeingPic 556,247 Photographer Sun, Nature, Photography
@SidharthNSingh 520,304 Politician MSME, Investment, Textile
@455k_ 456,017 - -

Top Keywords in Follower Bios

indian (2,702) proud (2,277) hindu (1,908) jai (1,813) india (1,699) love (1,675) student (1,545) social (1,484) life (1,430) engineer (1,143)

Top Hashtags in Follower Bios

#र (94) #ह (90) #भ (76) #म (71) #rss (68) #जय_श (65) #स (61) #bjp (59) #indian (49) #hindu (48)

56,863

Followers With Bio

44,134

Followers Without Bio

56.3%

% With Bio

43.7%

% 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 3,249 analyzed

273,912

Combined Engagement

166,047

Total Likes

107,865

Total Retweets

54,782

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

20%

With @Mentions

60%

With Links

Topical Analysis:

Social Activism Environmental Issues Political Commentary Humor History Religion
Nighat Abbass🇮🇳
@abbas_nighat

RT @TansuYegen: Self-defense tips https://t.co/mwPdJ4Q6e2

2022-11-18
Retweets: 79,016 Likes: 0 Engagement: 79,016
Nighat Abbass🇮🇳
@abbas_nighat

400 वर्ष पहले बिजली तो थीं नही, तो कया औरंगज़ेब, फूंक मारकर,फ़व्वारा चलाता था😂

2022-05-18
Retweets: 10,612 Likes: 61,863 Engagement: 72,475
Nighat Abbass🇮🇳
@abbas_nighat

पटाखे भी अजीब है, नये साल पर 199 देशों में फूटते हैं तो खुशियां लाते है। और दीपावली में भारत में फूटते है तो प्रदूषण करते है।

2022-10-20
Retweets: 7,042 Likes: 37,159 Engagement: 44,201
Nighat Abbass🇮🇳
@abbas_nighat

चचाज़ात भाई बहनों में शादी करा देना सही, कल भाई आज पति बना देना सही पर हिजाब में बालों की एक लट दिख जाए तो जान से मार दिया जाता है। #MahsaAmini https://t.co/xRglE0NDU0

2022-09-25
Retweets: 8,793 Likes: 30,869 Engagement: 39,662
Nighat Abbass🇮🇳
@abbas_nighat

हमारे घर का मंदिर। 🙏 #MakarSankranti2023 https://t.co/NZN34Bg7Uk

2023-01-14
Retweets: 2,402 Likes: 36,156 Engagement: 38,558

Key Insights & Takeaways

His tweets often blend humor with social commentary, making complex issues more relatable. He uses historical references to highlight current social and political issues. He frequently addresses environmental concerns, such as pollution from festivals.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 366,952
  • + 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 @abbas_nighat reveals an exceptionally influential Twitter presence with 366,952 followers. The account demonstrates a content-creator strategy, averaging 1,689.4 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