Akhilesh Anand (ABP News)

Akhilesh Anand (ABP News)

@akhileshanandd

भारतीय 🇮🇳 Anchoring #8PM & #10PM shows @ABPNews /Ex Zee News & News24/Alumnus HinduCollege DU / Indian Television Academy Award winner/ Views are Personal

New Delhi https://www.abplive.in/ Joined 2010-01-09 Date of Analysis: Dec 16, 2025

60,522

Followers

303

Following

38,851

Tweets

49.5

Avg Engagement

118

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @akhileshanandd'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: Mid-Tier (10K+)
  • Account Age:2010-01-09
  • Verification:No
  • Location:New Delhi

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:38.6
  • Avg Retweets per Tweet:10.9
  • Followers Analyzed:10,999

Engagement Analysis

Based on 3,249 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is emotionally resonant and often shares personal or cultural reflections.

38.6

Avg Likes/Tweet

10.9

Avg Retweets/Tweet

125,412

Total Likes

35,539

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

3

Median Retweets

14

75th Percentile

11,092

Top Tweet

0.82

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

18.5%

Original

1.7%

Replies

70.0%

Retweets

9.8%

Quotes

0.0%

Threads

0.0%

With Media

91.6%

With Links

78.3%

With #Tags

79.6%

With @Mentions

3.7%

With Emojis

187

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.09

Reply/Original Ratio

0.14

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

85.6%

Weekday Posts

14.4%

Weekend Posts

Top Hashtags

#theinsidestoryonabp (396) #ghantibajaoonabp (306) #theinsidestory (297) #bjp (247) #pakistan (201) #congress (199) #indiachahtahai (171) #pmmodi (161) #abpnews (160) #bihar (129)

Most Mentioned

@akhileshanandd (2215) @abpnews (2194) @upadhyayabhii (172) @rubikaliyaquat (129) @sanjayjourno (83) @romanaisarkhan (77) @ravikantabp (72) @reporterankitg (71) @i_manojverma (63) @varunjainnews (58)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 601 (18%)
Replies 55 (2%)
Retweets 2,274 (70%)
Quote Tweets 319 (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 2,274 retweets (70% 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 10,999 followers

His audience primarily consists of Indian television viewers and followers of news and entertainment content. They are likely interested in current affairs, media, and cultural discussions.

Average

Audience Quality

26.2%

Suspicion Index

21.5%

Low-Quality %

75

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.9%

Empty Bio

16.1%

<10 Tweets

29.0%

Mass Following (>2K)

0.0%

New (<90 days)

56.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.4%

No URL

9.2%

<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.

Try Bot Detector

Follower Reach & Influence

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

9,133,469

Total Potential Reach

75

Median Follower Reach

295

75th Percentile Reach

8.9%

>1K followers

0.8%

>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).

64.6%

Creators

7,105 accounts

19.3%

Consumers

2,124 accounts

16.1%

Dormant

1,770 accounts

93

Verified Followers

0.85% of total

7.4%

Professional Bios

founder, dev, analyst, etc.

0.08

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 (515) New Delhi, India (404) Uttar Pradesh, India (169) Lucknow, India (113) Mumbai, India (109) Bihar, India (76) Patna, India (75) Noida, India (65) भारत (58) New Delhi (57)

93

Verified Followers

0.85% of total

742

Protected Accounts

6.75% 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
@SinghLions 1,327,249 Restaurateur Food, Travel, Influencer
@IMinakshiJoshi 626,509 Journalist Yoga, Music, Dance
@abbas_nighat 349,695 Spokesperson BJP, Stree Roshni, Asha Foundation
@Sunil_Deodhar 236,885 Politician Politics, BJP, Andhra Pradesh
@ManojSinghKAKA 207,678 - -
@Matru_Bhoomi 187,231 - -
@realmanubhaker 145,980 Shooter Shooting, Arjun Awardee, LSR College
@PinkiYadavMLA 134,828 Politician Politics, Samajwadi Party, Legislative Assembly
@SubuhiKhan01 122,304 Lawyer Law, Activism, Spirituality
@anjali_speak 108,316 Anchor News, Television, Instagram

Top Keywords in Follower Bios

indian (332) proud (295) india (270) social (237) hindu (233) jai (225) news (214) journalist (210) student (195) love (183)

Top Hashtags in Follower Bios

#जय_श (16) #ह (16) #र (16) #स (15) #भ (14) #म (12) #bjp (12) #rss (10) #द (10) #भगव (10)

7,275

Followers With Bio

3,724

Followers Without Bio

66.14%

% With Bio

33.86%

% 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

33,412

Combined Engagement

30,108

Total Likes

3,304

Total Retweets

6,682

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

40%

With @Mentions

60%

With Links

Topical Analysis:

Television News Culture Personal Reflections Poetry Emotions
Akhilesh Anand (ABP…
@akhileshanandd

Tumko Dekha to Ye Khayal Aaya Zindagi Dhup tum Ghana Chhaya ! https://t.co/GkbAVwobCu

2022-12-11
Retweets: 262 Likes: 10,830 Engagement: 11,092
Akhilesh Anand (ABP…
@akhileshanandd

दावे के मुताबिक लैला मजनू की ओरिजनल पिक्चर https://t.co/6SuxoX4tUj

2022-11-23
Retweets: 1,641 Likes: 9,383 Engagement: 11,024
Akhilesh Anand (ABP…
@akhileshanandd

लाख गुलाब लगा लो तुम अपने आँगन में जीवन में खुशबू तो बेटी के आने से ही होगी 😍 https://t.co/B0ToQSLWLS

2022-12-01
Retweets: 140 Likes: 4,348 Engagement: 4,488
Akhilesh Anand (ABP…
@akhileshanandd

ये कैसी बेहूदगी है ? किसी राज्य का शिक्षा मंत्री कैसे कह सकता है कि रामचरित मानस नफरत फैलाने वाला ग्रंथ है ? क्या @NitishKumar अपने शिक्षा मंत्री चंद्रशेखर के खिलाफ कार्रवाई करेंगे ?

2023-01-11
Retweets: 804 Likes: 3,036 Engagement: 3,840
Akhilesh Anand (ABP…
@akhileshanandd

जिस तरह @gautam_adani दुनिया के सबसे अमीर व्यक्ति बनने लगे, एक भारतीय कंपनी दुनिया भर में व्यापार करने लगी. क्या दुनिया के बड़े मगरमच्छ बर्दाश्त कर लेते ? #HindenburgReport कहीं #Adani के खिलाफ साजिश तो नहीं ??

2023-02-07
Retweets: 457 Likes: 2,511 Engagement: 2,968

Key Insights & Takeaways

His top tweets often feature poetic and emotional content that resonates with his audience. He frequently shares personal reflections and cultural observations. His engagement suggests a loyal following that values both news and emotional content.

Strengths

  • + Established follower base of 60,522
  • + 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 @akhileshanandd reveals an growing Twitter presence with 60,522 followers. The account demonstrates a content-creator strategy, averaging 49.5 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