Rameshwar Sharma

Rameshwar Sharma

@rameshwar4111

राष्ट्र प्रथम, सदैव प्रथम 🇮🇳 | विधायक, हुज़ूर विधानसभा भोपाल | पूर्व प्रोटेम स्पीकर मध्य प्रदेश विधानसभा | #RSS #BJP |

Bhopal, India https://www.facebook.com/unsupportedbrowser?_rdr Joined 2012-11-25 Date of Analysis: Dec 16, 2025

184,564

Followers

2,261

Following

19,147

Tweets

370.6

Avg Engagement

54

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @rameshwar4111'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:2012-11-25
  • Verification:No
  • Location:Bhopal, India

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:153.6
  • Avg Retweets per Tweet:216.9
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is largely driven by political content and calls to action, which align with his audience's interests.

153.6

Avg Likes/Tweet

216.9

Avg Retweets/Tweet

499,293

Total Likes

705,001

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

86

Median Likes

29

Median Retweets

245

75th Percentile

31,960

Top Tweet

2.01

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

65.4%

Original

8.7%

Replies

20.4%

Retweets

5.6%

Quotes

0.0%

Threads

0.0%

With Media

77.0%

With Links

36.8%

With #Tags

43.6%

With @Mentions

17.3%

With Emojis

140

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.13

Reply/Original Ratio

0.27

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

67.9%

Weekday Posts

32.1%

Weekend Posts

Top Hashtags

#vikasyatrahuzur155 (143) #rameshwarsharma (107) #vikasyatramp (69) #harghartiranga (69) #mannkibaat (39) #श (31) #bhopal (29) #भ (23) #हर_नगर_भ (21) #karmshri (20)

Most Mentioned

@narendramodi (300) @chouhanshivraj (263) @officeofssc (123) @rameshwar4111 (99) @pmoindia (77) @hitanandsharma (70) @bjp4mp (54) @lokendraparasar (40) @vikasyatramp (39) @amitshah (31)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,124 (65%)
Replies 282 (9%)
Retweets 663 (20%)
Quote Tweets 181 (6%)

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 663 retweets (20% 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 3,250 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 residents of Madhya Pradesh, especially those interested in local and national politics. His content resonates with people who value political engagement and community involvement.

Average

Audience Quality

34.7%

Suspicion Index

45.3%

Low-Quality %

5

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

55.3%

Empty Bio

52.7%

<10 Tweets

6.7%

Mass Following (>2K)

0.0%

New (<90 days)

68.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.5%

No URL

35.3%

<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.

Try Bot Detector

Follower Reach & Influence

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

9,456,799

Total Potential Reach

5

Median Follower Reach

31

75th Percentile Reach

2.8%

>1K followers

0.2%

>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).

22.8%

Creators

11,379 accounts

24.5%

Consumers

12,260 accounts

52.7%

Dormant

26,361 accounts

118

Verified Followers

0.24% of total

2.5%

Professional Bios

founder, dev, analyst, etc.

0.05

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):

Madhya Pradesh, India (929) India (790) Bhopal, India (715) Indore, India (424) Uttar Pradesh, India (373) New Delhi, India (353) Mumbai, India (145) Gwalior, India (135) Lucknow, India (126) Bhopal (100)

220

Verified Followers

0.22% of total

6,034

Protected Accounts

5.97% 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
@beingarun28 712,704 Politician Politics, Technology, Social Media
@MajorPoonia 653,268 Fitness Coach Fitness, India, Patriotism
@DrSatishPoonia 559,622 Politician Politics, Leadership, Public Service
@AshwiniUpadhyay 535,072 Politician Nationalism, Anti-corruption, Unity
@_DrMonikaSingh 449,280 - -
@bhupendrasingho 411,878 Politician Politics, Urban Development, Housing
@swati_gs 405,574 Journalist Journalism, India, Bollywood
@iSinghApurva 390,710 Political Activist BJP, Banasthalite, Social Activist
@ippatel 365,831 Lawyer Law, Supreme Court, Goa
@pradip103 333,081 Psephologist Politics, Psephology, Activism

Top Keywords in Follower Bios

student (1,906) bjp (1,631) social (1,220) jai (1,182) love (1,143) india (1,113) indian (1,069) ram (1,064) life (1,022) jay (1,001)

Top Hashtags in Follower Bios

#र (107) #स (93) #भ (84) #rss (77) #ह (72) #म (68) #bjp (66) #जय_श (63) #क (52) #प (51)

55,951

Followers With Bio

45,048

Followers Without Bio

55.4%

% With Bio

44.6%

% 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 3,250 analyzed

120,049

Combined Engagement

25,199

Total Likes

94,850

Total Retweets

24,010

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Politics Community Engagement Nationalism

Key Insights & Takeaways

His top tweets often include personal appeals and calls to action, which suggest a focus on direct engagement with followers. He frequently uses hashtags like #RSS and #BJP, indicating a strong alignment with right-wing political groups. His content is highly political and community-focused, which likely drives his high engagement rates.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 184,564
  • + 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 @rameshwar4111 reveals an well-established Twitter presence with 184,564 followers. The account demonstrates a content-creator strategy, averaging 370.6 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