Dil Bhusan Pathak🇳🇵
Editor-In-Chief @KantipurTVHD Producer/Host- TOUGH talk. https://www.youtube.com/c/toughtalk1 Founder- Interface Nepal Network (INN) https://interface-final.web.app/
104,373
Followers
1,107
Following
15,153
Tweets
170.2
Avg Engagement
89
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DilBhusanPathak'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:2011-08-19
- Verification:No
- Location:Interfacenepal.com, Kathmandu.
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:7.9
- Avg Retweets per Tweet:162.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,241 tweetsHis tweets receive moderate engagement, with a focus on likes rather than retweets. Personal and celebratory messages tend to perform better in terms of interaction.
7.9
Avg Likes/Tweet
162.3
Avg Retweets/Tweet
25,591
Total Likes
525,981
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
5
75th Percentile
357,021
Top Tweet
1.63
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
17.8%
Original
4.0%
Replies
74.6%
Retweets
3.5%
Quotes
0.0%
Threads
0.2%
With Media
94.9%
With Links
53.4%
With #Tags
84.4%
With @Mentions
6.0%
With Emojis
183
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 2,419 retweets (75% 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 3,241 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 10,000 followersHis audience primarily consists of Nepali-speaking individuals interested in news, politics, and cultural events. The content is tailored to engage both local and international followers.
Average
Audience Quality
33.2%
Suspicion Index
48.1%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.1%
Empty Bio
54.0%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
37.1%
<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.
2,396,430
Total Potential Reach
8
Median Follower Reach
38
75th Percentile Reach
2.8%
>1K followers
0.3%
>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).
19.5%
Creators
1,949 accounts
26.5%
Consumers
2,647 accounts
54.0%
Dormant
5,404 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):
16
Verified Followers
0.16% of total
380
Protected Accounts
3.8% 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 |
|---|---|---|---|
| @nilacharya | 343,806 | Diplomat | Politics, Diplomacy, Law |
| @Nepaltbn | 163,551 | Influencer | 💬, ♥️, 🖼️ |
| @sk_6033 | 69,896 | Influencer | Friendship, Follow, Open DM |
| @Nirmaladhakal44 | 52,840 | Sociologist | Sociology, Research, Academia |
| @sobita465 | 45,724 | - | - |
| @gp_yatri | 39,566 | - | - |
| @gyanu_gm11 | 36,054 | - | - |
| @a77pdl | 34,395 | - | - |
| @aarosnepal | 32,882 | - | - |
| @Intel_Sky | 31,807 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,088
Followers With Bio
5,912
Followers Without Bio
40.88%
% With Bio
59.12%
% 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 3,241 analyzed461,070
Combined Engagement
0
Total Likes
461,070
Total Retweets
92,214
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: https://t.co/CWWDdur0oz
RT @elonmusk: Excited to announce start of production of Tesla Semi Truck with deliveries to @Pepsi on Dec 1st! https://t.co/gq0l73iGRW
RT @elonmusk: https://t.co/7IJbqbYzkA
RT @ErikSolheim: This is why India 🇮🇳 doesn't need robotic automation.…. https://t.co/GU8QMSAy18
Key Insights & Takeaways
He maintains a professional and public persona, emphasizing his media roles and achievements. His content includes a mix of news, cultural events, and personal messages, which helps in maintaining audience interest. He leverages personal milestones and festivals to connect with his audience on a more emotional level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 104,373
- + 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 @DilBhusanPathak reveals an well-established Twitter presence with 104,373 followers. The account demonstrates a content-creator strategy, averaging 170.2 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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