Nasir Sogami
Provincial President,J & K National Conference, Kashmir Province. Constituency Incharge, Kupwara. Former minister of State for Home,Tourism,Revenue, PHE, HUD
16,360
Followers
752
Following
6,242
Tweets
31.3
Avg Engagement
17
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nasirsogami'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: Mid-Tier (10K+)
- Account Age:2011-02-12
- Verification:No
- Location:Kupwara & Srinagar India
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:25.7
- Avg Retweets per Tweet:5.5
- Followers Analyzed:15,880
Engagement Analysis
Based on 500 tweetsHis tweets receive an average of 256 likes and 25 retweets, indicating moderate engagement. The content appears to resonate with his local audience, as seen in the engagement metrics.
25.7
Avg Likes/Tweet
5.5
Avg Retweets/Tweet
12,852
Total Likes
2,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
39
75th Percentile
413
Top Tweet
1.91
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
14.0%
Original
45.2%
Replies
20.2%
Retweets
20.6%
Quotes
0.0%
Threads
0.2%
With Media
38.8%
With Links
5.4%
With #Tags
67.6%
With @Mentions
5.8%
With Emojis
80
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.23
Reply/Original Ratio
1.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 101 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 500 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 15,880 followersHis audience likely includes local residents of Kupwara and Kashmir, as well as political stakeholders and followers of regional news. They may be interested in local governance and community activities.
Average
Audience Quality
24.9%
Suspicion Index
24.5%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.0%
Empty Bio
29.6%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
54.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
16.0%
<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.
22,383,027
Total Potential Reach
28
Median Follower Reach
115
75th Percentile Reach
5.1%
>1K followers
0.8%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.2%
Creators
6,069 accounts
32.2%
Consumers
5,108 accounts
29.6%
Dormant
4,703 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):
164
Verified Followers
1.03% of total
1,122
Protected Accounts
7.07% 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 |
|---|---|---|---|
| @OmarAbdullah | 3,224,752 | Politician | Politics, Jammu and Kashmir, Leadership |
| @GulPanag | 2,791,508 | Actor | fitness, biker, adventurer |
| @zlj517 | 1,997,336 | Spokesman | Geopolitics, Diplomacy, Communication |
| @SinghLions | 1,335,655 | Restaurateur | Food, Travel, Influencer |
| @Nidhi | 1,028,487 | Journalist | News, Education, Journalism |
| @udayfoundation | 722,228 | Non-profit | health, humanitarian assistance, disaster relief |
| @CollChris | 673,075 | Traveler | Travel, Asia, Adventure |
| @Moreno | 430,154 | Influencer | Business, Manager, Serious |
| @AdityaRajKaul | 374,615 | Journalist | National Security, Diplomacy, Conflict |
| @madam_robena | 373,449 | Teacher | Social Media Influencer, Twitter Campaign, PR and Coll |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,634
Followers With Bio
5,246
Followers Without Bio
66.96%
% With Bio
33.04%
% 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 500 analyzed1,636
Combined Engagement
1,565
Total Likes
71
Total Retweets
327
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Mandatory highway meal! 🤤 😁 https://t.co/A1FlsBLbAC
Frozen Stream near Goos, Kupwara! https://t.co/nGwUsLqZCa https://t.co/E1WVX2Yibh
On the range after a long time! ⛳️ https://t.co/fIWCxZQtZR
With our newly elected DDC member! https://t.co/OFRiYuAX6j
Back to my roots! #jknc #kupwara
Key Insights & Takeaways
He frequently shares personal and local experiences, which may help build a connection with his audience. His content includes both public and private moments, suggesting a balance between professional and personal engagement. He uses location-specific references, which could be a key factor in maintaining relevance and engagement within his community.
Strengths
- + Established follower base of 16,360
- + 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 @nasirsogami reveals an growing Twitter presence with 16,360 followers. The account demonstrates a conversation-first approach, averaging 31.3 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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