Dr Ragini Sonker
MLA- 369,मछलीशहर विधानसभा
126,446
Followers
58
Following
772
Tweets
1,639.5
Avg Engagement
7
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sonker_ragini'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:2022-02-26
- Verification:No
- Location:Machhlishahr, India
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:1,195.4
- Avg Retweets per Tweet:444.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsHer tweets receive a high number of likes and retweets, indicating strong public interest and support. The engagement is particularly high around political events and social justice topics.
1,195.4
Avg Likes/Tweet
444.0
Avg Retweets/Tweet
716,053
Total Likes
265,983
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
780
Median Likes
96
Median Retweets
2,105
75th Percentile
23,500
Top Tweet
12.97
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
68.8%
Original
15.0%
Replies
14.9%
Retweets
1.3%
Quotes
0.0%
Threads
0.0%
With Media
75.6%
With Links
24.2%
With #Tags
45.2%
With @Mentions
4.3%
With Emojis
178
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 tweetsContent Type Distribution
Content Breakdown
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 89 retweets (15% 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 599 tweetsEngagement 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 followersHer audience includes political followers, local residents of Machhaliyapur, and individuals interested in social justice issues. She also reaches out to those affected by government policies and discrimination.
Average
Audience Quality
30.1%
Suspicion Index
38.4%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.4%
Empty Bio
38.4%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
63.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
19.4%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
8,833,851
Total Potential Reach
8
Median Follower Reach
46
75th Percentile Reach
2.6%
>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).
26.5%
Creators
13,239 accounts
35.2%
Consumers
17,581 accounts
38.4%
Dormant
19,180 accounts
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):
273
Verified Followers
0.27% of total
4,498
Protected Accounts
4.5% 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 |
|---|---|---|---|
| @_DrMonikaSingh | 449,068 | - | - |
| @MPDharmendraYdv | 428,286 | Politician | Politics, Samajwadi Party, Ex-Member of Parliament |
| @PJkanojia | 417,056 | - | - |
| @sunilyadv_unnao | 382,843 | Politician | Politics, Socialism, Uttar Pradesh |
| @jayantrld | 319,594 | Politician | विचार, संघर्ष, सुशासन |
| @RachnaSinghSP | 315,820 | Politician | Politics, Socialism, Kanpur |
| @juhiesingh | 303,152 | Spokesperson | Politics, Spokesperson, Social Media |
| @anuragspparty | 274,440 | Politician | politics, sports, cricket |
| @shubhankrmishra | 269,221 | - | - |
| @aashishsy | 249,629 | Communication Specialist | History, Travelling, Socialism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,764
Followers With Bio
49,236
Followers Without Bio
50.76%
% With Bio
49.24%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 599 analyzed80,241
Combined Engagement
22,529
Total Likes
57,712
Total Retweets
16,048
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
आज सदन में https://t.co/BOGJ1wufPC
RT @yadavakhilesh: वाराणसी में EVM पकड़े जाने का समाचार उप्र की हर विधानसभा को चौकन्ना रहने का संदेश दे रहा है। मतगणना में धांधली की कोशि…
RT @yadavakhilesh: पोस्टल बैलेट में सपा-गठबंधन को मिले 51.5% वोट व उनके हिसाब से 304 सीटों पर हुई सपा-गठबंधन की जीत चुनाव का सच बयान कर रही…
RT @yadavakhilesh: नई सरकार को बधाई कि वो सपा के बनाए स्टेडियम में शपथ ले रही है। शपथ सिर्फ़ सरकार बनाने की नहीं, जनता की सच्ची सेवा की भी…
RT @yadavakhilesh: लिख रहा हूँ ये सोचकर कि शायद जागेगा ज़मीर बेख़बर से हो गये हैं न जाने क्यों कुछ ख़बरनवीस
Key Insights & Takeaways
Her political role is central to her online presence and content She frequently highlights local and national political developments She uses her platform to voice concerns about social injustice and government policies
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126,446
- + 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 @sonker_ragini reveals an exceptionally influential Twitter presence with 126,446 followers. The account demonstrates a content-creator strategy, averaging 1,639.5 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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