Divya Mahipal Maderna

Divya Mahipal Maderna

@DivyaMaderna

MLA Osian (Rajasthan)

Rajasthan,India https://www.facebook.com/unsupportedbrowser Joined 2017-06-24 Date of Analysis: Dec 16, 2025

165,854

Followers

713

Following

11,243

Tweets

841.8

Avg Engagement

38

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DivyaMaderna'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:2017-06-24
  • Verification:No
  • Location:Rajasthan,India

Data Summary

  • Tweets Analyzed:3,233
  • Avg Likes per Tweet:394.8
  • Avg Retweets per Tweet:447.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,233 tweets

Her tweets receive an average of 16,686 likes and 1,693 retweets, indicating high levels of interaction and interest from her followers. The verified status of 0.4% suggests a mix of public and private engagement.

394.8

Avg Likes/Tweet

447.1

Avg Retweets/Tweet

1,276,295

Total Likes

1,445,355

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

31

Median Retweets

251

75th Percentile

56,559

Top Tweet

5.08

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

8.8%

Original

12.4%

Replies

69.8%

Retweets

9.1%

Quotes

0.0%

Threads

0.0%

With Media

33.8%

With Links

15.6%

With #Tags

85.5%

With @Mentions

6.8%

With Emojis

126

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.41

Reply/Original Ratio

0.13

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.6%

Weekday Posts

25.4%

Weekend Posts

Top Hashtags

#bharatjodoyatra (80) #jaipur (39) #jodhpur (34) #rajasthan (29) #divyamaderna (22) #क (22) #भ (19) #द (16) #congress (15) #म (14)

Most Mentioned

@divyamaderna (957) @rahulgandhi (184) @incindia (162) @arvindchotia (81) @bharatjodo (76) @dsrajpurohit291 (66) @1stindianews (62) @ashokgehlot51 (61) @pantlp (58) @jekigodara (48)

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Content Strategy Analysis

Based on 3,233 tweets

Content Type Distribution

Content Breakdown

Original Tweets 283 (9%)
Replies 400 (12%)
Retweets 2,257 (70%)
Quote Tweets 293 (9%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 2,257 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 3,233 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

Her audience primarily consists of political supporters and the general public in Rajasthan. The engagement suggests a strong local following with interest in political developments.

Average

Audience Quality

32.8%

Suspicion Index

48.6%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

61.5%

Empty Bio

50.2%

<10 Tweets

5.5%

Mass Following (>2K)

0.0%

New (<90 days)

59.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.4%

No URL

35.6%

<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.

40,574,887

Total Potential Reach

7

Median Follower Reach

45

75th Percentile Reach

3.3%

>1K followers

0.3%

>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).

28.6%

Creators

14,294 accounts

21.2%

Consumers

10,586 accounts

50.2%

Dormant

25,120 accounts

156

Verified Followers

0.31% of total

2.6%

Professional Bios

founder, dev, analyst, etc.

0.07

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):

Jaipur, India (1,354) Rajasthan, India (1,065) India (702) Jodhpur, India (519) New Delhi, India (395) Barmer, India (208) Mumbai, India (163) Dausa, India (150) Uttar Pradesh, India (142) Bikaner, India (97)

379

Verified Followers

0.38% of total

4,107

Protected Accounts

4.07% 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 14,101,583 Wrestler Wrestling, Motivation, Self-promotion
@BDUTT 7,126,179 Journalist Journalism, Reporting, Writing
@anjanaomkashyap 4,792,993 Journalist News, Journalism, Politics
@kunalkamra88 2,392,391 Comedian Comedy, Satire, Politics
@ajitanjum 1,629,928 Journalist News, Journalism, Reporting
@khushsundar 1,481,049 Politician BJP, Modi, Life
@ShayarImran 1,365,274 Politician Politics, Poetry, Activism
@jitupatwari 990,296 Politician Politics, Congress, Leadership
@manakgupta 800,741 Journalist News, Journalism, Egalitarianism
@srinivasiyc 783,163 Politician Politics, Youth, Volunteerism

Top Keywords in Follower Bios

student (2,381) social (1,870) rajasthan (1,817) indian (1,651) congress (1,499) love (1,163) life (1,150) india (1,135) jai (1,100) worker (888)

Top Hashtags in Follower Bios

#र (132) #क (130) #ज (117) #प (91) #स (82) #म (81) #न (70) #nfu (59) #भ (55) #जय (46)

50,819

Followers With Bio

50,177

Followers Without Bio

50.32%

% With Bio

49.68%

% 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 3,233 analyzed

174,546

Combined Engagement

79,636

Total Likes

94,910

Total Retweets

34,909

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

40%

With @Mentions

60%

With Links

Topical Analysis:

Politics National Movements Public Engagement
Divya Mahipal Mader…
@DivyaMaderna

RT @RahulGandhi: मैं भारत की आवाज़ के लिए लड़ रहा हूं। मैं हर कीमत चुकाने को तैयार हूं।

2023-03-25
Retweets: 56,559 Likes: 0 Engagement: 56,559
Divya Mahipal Mader…
@DivyaMaderna

Caption 1 : बड़े भाई ,संरक्षक ,अभिभावक. https://t.co/PUauxO5yl5

2022-11-23
Retweets: 3,321 Likes: 29,652 Engagement: 32,973
Divya Mahipal Mader…
@DivyaMaderna

RT @RahulGandhi: मैंने प्रधानमंत्री की आखों में डर देखा है - वो डरते हैं अडानी पर संसद में मेरे अगले भाषण से। सीधा सवाल है - शेल कंपनियों…

2023-03-26
Retweets: 30,840 Likes: 0 Engagement: 30,840
Divya Mahipal Mader…
@DivyaMaderna

इंक़लाब-ए-सुब्ह की कुछ कम नहीं ये भी दलील, पत्थरों को दे रहे हैं आइने खुल कर जवाब। "नफरत छोड़ो भारत जोड़ो" के नारो के साथ यह जनसैलाब देश में भाजपा की विभाजनकारी नीति के खिलाफ राहुल जी के नेतृत्व में एक जन आंदोलन का रूप ले चुका है । https

2022-11-23
Retweets: 2,589 Likes: 26,336 Engagement: 28,925
Divya Mahipal Mader…
@DivyaMaderna

#NewProfilePic https://t.co/JXKw1n7AUd

2022-11-22
Retweets: 1,601 Likes: 23,648 Engagement: 25,249

Key Insights & Takeaways

Her tweets often reference national and political movements, indicating a focus on broader political narratives. She frequently interacts with prominent political figures, highlighting her role in political networking. Her content includes both public statements and personal interactions, showing a balance between professional and personal engagement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 165,854
  • + High community engagement through conversations
  • + 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 @DivyaMaderna reveals an well-established Twitter presence with 165,854 followers. The account demonstrates a conversation-first approach, averaging 841.8 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