Somesh Upadhyay, IAS
Collector & DM, Deogarh @deogarhdistadmn Odisha, Alumnus of TIFR, Xaverian, RKMite. #IndianFootball छपरा जिला घर बा।
164,236
Followers
820
Following
3,098
Tweets
1,076.3
Avg Engagement
118
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Somesh_IAS'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:2017-06-12
- Verification:No
- Location:Deogarh
Data Summary
- Tweets Analyzed:2,868
- Avg Likes per Tweet:582.9
- Avg Retweets per Tweet:493.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,868 tweetsHis tweets receive high engagement, with an average of 30,797 likes and 4,941 retweets per tweet. The content is well-received and often shared widely.
582.9
Avg Likes/Tweet
493.4
Avg Retweets/Tweet
1,671,863
Total Likes
1,415,057
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
7
Median Retweets
567
75th Percentile
246,731
Top Tweet
6.55
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
33.5%
Original
34.8%
Replies
22.7%
Retweets
9.0%
Quotes
0.0%
Threads
0.5%
With Media
25.8%
With Links
18.0%
With #Tags
58.2%
With @Mentions
18.7%
With Emojis
108
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.04
Reply/Original Ratio
0.4
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 2,868 tweetsContent Type Distribution
Content Breakdown
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 650 retweets (23% 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 2,868 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 followersHis audience includes followers interested in Indian politics, regional issues, and current affairs. They are likely to be students, professionals, and policy enthusiasts.
Average
Audience Quality
28.7%
Suspicion Index
27.1%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.6%
Empty Bio
32.1%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
72.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
19.5%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
28,178,431
Total Potential Reach
13
Median Follower Reach
62
75th Percentile Reach
3.1%
>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).
39.8%
Creators
19,887 accounts
28.1%
Consumers
14,044 accounts
32.1%
Dormant
16,069 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):
247
Verified Followers
0.24% of total
7,328
Protected Accounts
7.26% 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 |
|---|---|---|---|
| @JohnCena | 14,100,874 | Wrestler | Wrestling, Motivation, Self-promotion |
| @saurabhtop | 548,505 | Editor | Family, News, Journalism |
| @AshwiniUpadhyay | 535,431 | Politician | Nationalism, Anti-corruption, Unity |
| @Aamitabh2 | 480,494 | Journalist | Journalism, Consulting, Editor |
| @dabi_tina | 471,241 | Civil Servant | Finance, Government, Commerce |
| @ippatel | 365,950 | Lawyer | Law, Supreme Court, Goa |
| @RachnaSinghSP | 318,464 | Politician | Politics, Socialism, Kanpur |
| @Asamsakti | 285,856 | Art Lover | Art, Technology, Tea |
| @ShyamRangeela | 254,886 | Comedian | Comedy, Politics, Bhakt |
| @YerickoNyerereT | 242,153 | Politician | Politics, Business, Security |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,862
Followers With Bio
33,126
Followers Without Bio
67.2%
% With Bio
32.8%
% 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 2,868 analyzed685,943
Combined Engagement
75,173
Total Likes
610,770
Total Retweets
137,189
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @Philz_adamz: Overthinking 101 https://t.co/OQR8yZFnSA
RT @BBCWorld: The handshake that made history. https://t.co/JB09Ce9mHt
RT @Shivaar11: Mathematics be like : log(😅) =💧log(😄)
मैं बिहार से हूँ पर ओड़िशा कैडर में कार्यरत हूँ।पश्चिम बंगाल तथा मुम्बई में मेरी शिक्षा हुई है। दिल्ली और बनारस में रह कर IAS की तैयारी की। भोजपुरी, हिंदी, बंगाली, ओड़िया बोल लेता हूँ। मराठी की समझ है। ऐसे में मुझे ये confusion है कि मैं कहाँ पर भीतरी और कहां पर बाहरी हू।
RT @RNTata2000: Welcome back, Air India 🛬🏠 https://t.co/euIREDIzkV
Key Insights & Takeaways
He frequently discusses India-Pakistan relations and the potential for renewed diplomatic ties after conflict. He highlights the technological advancements of the Rafale fighter jet and its capabilities. He shares personal experiences related to his career and education, which adds a human element to his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 164,236
- + 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 @Somesh_IAS reveals an exceptionally influential Twitter presence with 164,236 followers. The account demonstrates a conversation-first approach, averaging 1,076.3 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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