Dr. Satya Pal Singh

Dr. Satya Pal Singh

@dr_satyapal

Member Of Parliament BJP (LS), Baghpat, UP. | Former Union Minister of State for @EduMinOfIndia & @MoJSDoWRRDGR (Jal) | Ex. Commissioner Of Police, Mumbai City

Baraut - Baghpat - New Delhi https://t.co/SWEMDuc9gs Joined 2015-02-28 Date of Analysis: Dec 16, 2025

124,636

Followers

309

Following

21,841

Tweets

1,425.1

Avg Engagement

122

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @dr_satyapal'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:2015-02-28
  • Verification:Yes
  • Location:Baraut - Baghpat - New Delhi

Data Summary

  • Tweets Analyzed:3,212
  • Avg Likes per Tweet:57.8
  • Avg Retweets per Tweet:1,367.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,212 tweets

Dr. Satyapal's tweets receive a moderate to high level of engagement, with an average of 2,666 likes and 340 retweets per tweet. His content is well-received and shared by his followers.

57.8

Avg Likes/Tweet

1,367.3

Avg Retweets/Tweet

185,512

Total Likes

4,391,900

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

14

Median Likes

31

Median Retweets

2,080

75th Percentile

38,064

Top Tweet

11.43

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

49.5%

Original

1.3%

Replies

47.9%

Retweets

1.4%

Quotes

0.0%

Threads

0.1%

With Media

63.6%

With Links

15.1%

With #Tags

65.1%

With @Mentions

0.8%

With Emojis

157

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.03

Reply/Original Ratio

0.03

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

68.4%

Weekday Posts

31.6%

Weekend Posts

Top Hashtags

#स (36) #आय (28) #8स (27) #श (22) #upcm (19) #हम (12) #indiaat75 (12) #ब (12) #mannkibaat (11) #sewapakhwada (11)

Most Mentioned

@narendramodi (1027) @myogiadityanath (385) @bjp4india (133) @amitshah (106) @bjp4up (91) @pmoindia (81) @jpnadda (70) @cmofficeup (37) @charupragya (31) @vpindia (22)

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 3,212 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,590 (50%)
Replies 41 (1%)
Retweets 1,537 (48%)
Quote Tweets 44 (1%)

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 1,537 retweets (48% 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 3,212 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 primarily consists of political supporters and followers of his parliamentary work. They are likely interested in policy discussions, public service, and current events.

Average

Audience Quality

23.0%

Suspicion Index

18.7%

Low-Quality %

50

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.9%

Empty Bio

17.8%

<10 Tweets

19.8%

Mass Following (>2K)

0.0%

New (<90 days)

53.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.2%

No URL

9.5%

<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.

Try Bot Detector

Follower Reach & Influence

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

49,059,215

Total Potential Reach

50

Median Follower Reach

214

75th Percentile Reach

7.3%

>1K followers

0.6%

>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).

57.4%

Creators

28,697 accounts

24.8%

Consumers

12,396 accounts

17.8%

Dormant

8,907 accounts

281

Verified Followers

0.56% of total

6.9%

Professional Bios

founder, dev, analyst, etc.

0.09

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 (2,112) New Delhi, India (1,959) Uttar Pradesh, India (784) Mumbai, India (581) Lucknow, India (464) Ghaziabad, India (304) Meerut, India (303) Noida, India (300) Jaipur, India (287) Rajasthan, India (258)

568

Verified Followers

0.56% of total

7,195

Protected Accounts

7.12% 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
@rajnathsingh 23,623,732 Politician Defence, Minister, India
@JohnCena 14,101,337 Wrestler Wrestling, Motivation, Self-promotion
@smritiirani 12,726,800 Politician Women's empowerment, Child welfare, Politics
@nitin_gadkari 12,643,618 Politician Infrastructure, Development, Innovation
@EduMinOfIndia 5,364,312 Government Official Education, Government, India
@CMOfficeUP 4,964,012 Government Government, Uttar Pradesh, Chief Minister
@drharshvardhan 3,210,088 Politician Health, Science, Technology
@ianuragthakur 2,320,163 Politician Sports, Youth Affairs, Politics
@ShahnawazBJP 1,932,249 Politician Politics, Industries, Spokesperson
@KapilMishra_IND 1,413,719 Politician BJP, Hindu, Unity

Top Keywords in Follower Bios

indian (3,161) bjp (3,122) social (2,941) india (2,833) proud (2,305) student (1,926) jai (1,839) love (1,812) life (1,528) engineer (1,470)

Top Hashtags in Follower Bios

#र (239) #स (159) #भ (145) #bjp (142) #ह (132) #म (123) #प (111) #rss (109) #क (104) #ज (104)

71,943

Followers With Bio

29,051

Followers Without Bio

71.23%

% With Bio

28.77%

% 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 3,212 analyzed

143,566

Combined Engagement

0

Total Likes

143,566

Total Retweets

28,713

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Politics Social Issues Public Service Film Law Enforcement

Key Insights & Takeaways

He frequently shares content related to social and political issues, which indicates a focus on public awareness and policy discussions. His verified account status is low, suggesting a mix of personal and professional content. He often references his political roles and events, which helps maintain relevance and engagement with his audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 124,636
  • + 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 @dr_satyapal reveals an exceptionally influential Twitter presence with 124,636 followers. The account demonstrates a content-creator strategy, averaging 1,425.1 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