Anand Agarwal

Anand Agarwal

@anand1agarwal

Passionate about transforming lives through Digital Technologies

Global https://in.linkedin.com/in/anandagarwal2 Joined 2011-10-29 Date of Analysis: Dec 16, 2025

111,349

Followers

64

Following

632

Tweets

296.7

Avg Engagement

19

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @anand1agarwal'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:2011-10-29
  • Verification:No
  • Location:Global

Data Summary

  • Tweets Analyzed:632
  • Avg Likes per Tweet:253.1
  • Avg Retweets per Tweet:43.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 632 tweets

His tweets receive a high level of engagement, with an average of 3,666 likes and 264 retweets per post. This suggests a strong and active community interested in his content.

253.1

Avg Likes/Tweet

43.6

Avg Retweets/Tweet

159,932

Total Likes

27,552

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

14

Median Likes

3

Median Retweets

188

75th Percentile

11,760

Top Tweet

2.66

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

78.2%

Original

6.0%

Replies

5.9%

Retweets

10.0%

Quotes

0.0%

Threads

0.5%

With Media

88.1%

With Links

45.7%

With #Tags

39.4%

With @Mentions

0.2%

With Emojis

196

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.08

Reply/Original Ratio

1.7

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.6%

Weekday Posts

23.4%

Weekend Posts

Top Hashtags

#covid19 (29) #digital (29) #ai (19) #5g (14) #wfh (13) #telecom (11) #newtech (11) #newnormal (10) #innovation (10) #indiafightscorona (9)

Most Mentioned

@stl_tech (111) @rssharma3 (17) @pmoindia (15) @dot_india (15) @amitabhk87 (14) @anand1agarwal (14) @rsprasad (14) @ajitpaifcc (11) @linkedin (10) @ettelecom (10)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 632 tweets

Content Type Distribution

Content Breakdown

Original Tweets 494 (78%)
Replies 38 (6%)
Retweets 37 (6%)
Quote Tweets 63 (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 37 retweets (6% 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 632 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 10,000 followers

His audience is likely professionals and enthusiasts interested in digital technologies, data centers, and social issues. They are likely looking for insights on innovation and its societal impact.

Average

Audience Quality

24.8%

Suspicion Index

23.1%

Low-Quality %

56

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.4%

Empty Bio

32.9%

<10 Tweets

18.2%

Mass Following (>2K)

0.0%

New (<90 days)

45.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.8%

No URL

17.8%

<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.

4,116,883

Total Potential Reach

56

Median Follower Reach

230

75th Percentile Reach

6.8%

>1K followers

0.4%

>10K followers

0.1%

>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).

35.5%

Creators

3,549 accounts

31.6%

Consumers

3,161 accounts

32.9%

Dormant

3,290 accounts

15

Verified Followers

0.15% of total

7.1%

Professional Bios

founder, dev, analyst, etc.

0.12

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):

Lagos, Nigeria (124) Nigeria (91) India (63) Nairobi, Kenya (63) Dhaka, Bangladesh (37) Accra, Ghana (36) New Delhi, India (34) Kampala, Uganda (33) Bangladesh (31) Pakistan (28)

15

Verified Followers

0.15% of total

592

Protected Accounts

5.92% 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
@SSscoop475 244,889 Activist World Peace, Civil Rights, Tibetan Buddhism
@bhartifdn 107,734 Philanthropist Education, Philanthropy, Rural India
@ItsShubhangi 101,882 Senior Editor Indian politics, Journalism, Social issues
@TonyJSelimi 100,246 Business Coach Personal Development, Business Performance, Filmmaking
@vidyarthee 70,488 Urban Planner Social Policy, Development Studies, Urban Planning
@martinsoorjoo 67,024 Coach Coach, Podcasting, Writing
@cristianoamon 45,521 - -
@ErshadAhmadi 45,485 Diplomat Foreign policy, Kabul, Diplomacy
@LintelligentTv 45,380 Web TV Web TV, Dreaming
@CognitiveValley 45,084 AI Advocate AI, Switzerland, technology

Top Keywords in Follower Bios

love (302) god (196) life (189) business (132) student (118) social (115) simple (98) media (84) music (76) work (75)

Top Hashtags in Follower Bios

#bitcoin (9) #crypto (7) #nft (5) #btc (5) #entrepreneur (4) #love (4) #god (4) #श (3) #blockchain (3) #eth (3)

7,159

Followers With Bio

2,841

Followers Without Bio

71.59%

% With Bio

28.41%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 632 analyzed

35,732

Combined Engagement

18,299

Total Likes

17,433

Total Retweets

7,146

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Digital Transformation Data Centers Social Inequality Technology Ethics Innovation
Anand Agarwal
@anand1agarwal

RT @ofirgendelman: Such a beautiful message of peace: The walls of the Old City in Jerusalem were lit tonight with the Israeli, American, Emirati and Bahraini flags. This is the wind of change. https://t.co/7gc10JO4XV

2020-09-16
Retweets: 11,760 Likes: 0 Engagement: 11,760
Anand Agarwal
@anand1agarwal

It has been almost 60 days now in this #NewNormal. I hope we all have incorporated some new behaviours in this time, which would be turning into new habits. I have developed extreme effectiveness in #WFH and find great joy in cooking during this period. What about you ?

2020-05-23
Retweets: 697 Likes: 9,270 Engagement: 9,967
Anand Agarwal
@anand1agarwal

In the future, we can expect to see the #datacenter landscape characterized by the ability to add #on-demand capacity rapidly, adopt #innovative technology and so much more. @STL_Tech https://t.co/7vPxZEd94d

2020-05-28
Retweets: 215 Likes: 5,464 Engagement: 5,679
Anand Agarwal
@anand1agarwal

RT @anandmahindra: So, so proud of our Kandivali &amp; Igatpuri teams who confined themselves to the factories &amp; without sleep produced this in 48hrs. With humility, we will seek guidance from specialists on the usefulness of the device. Whatever the outcome, they have shown

2020-03-26
Retweets: 4,674 Likes: 0 Engagement: 4,674
Anand Agarwal
@anand1agarwal

Awareness about social and gender inequalities is important, but what about those hidden biases and prejudices? If machines learn them, they can prove to be dangerous. https://t.co/ufNVM1HG5x

2020-09-19
Retweets: 87 Likes: 3,565 Engagement: 3,652

Key Insights & Takeaways

He emphasizes the importance of adapting to the new normal and incorporating new behaviors. He discusses the future of data centers and the need for on-demand capacity and innovative technology. He raises awareness about hidden biases and the potential impact of machine learning on societal issues.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 111,349
  • + 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 @anand1agarwal reveals an well-established Twitter presence with 111,349 followers. The account demonstrates a content-creator strategy, averaging 296.7 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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