VC-BHU
This is the official Twitter account of BHU Vice-Chancellor and it is run by VC's Secretariat.
102,161
Followers
75
Following
7,673
Tweets
162.5
Avg Engagement
46
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VCofficeBHU'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:2016-08-22
- Verification:No
- Location:Varanasi, India
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:67.2
- Avg Retweets per Tweet:95.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsThe account shows consistent engagement with an average of 2,667 likes and 366 retweets per tweet. The engagement rate appears to be moderate, indicating a balanced level of interaction with the audience.
67.2
Avg Likes/Tweet
95.3
Avg Retweets/Tweet
217,222
Total Likes
307,862
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
16
Median Retweets
75
75th Percentile
18,255
Top Tweet
1.59
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
14.5%
Original
2.5%
Replies
79.4%
Retweets
3.6%
Quotes
0.0%
Threads
0.5%
With Media
93.4%
With Links
53.3%
With #Tags
85.5%
With @Mentions
2.2%
With Emojis
251
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 2,566 retweets (79% 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 3,232 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 followersThe primary audience includes students, faculty, alumni, and the general public interested in BHU's activities. The content is likely aimed at promoting the university's academic achievements and cultural heritage.
Below Average
Audience Quality
35.9%
Suspicion Index
46.4%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
54.0%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
75.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
38.2%
<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.
1,661,224
Total Potential Reach
3
Median Follower Reach
24
75th Percentile Reach
1.8%
>1K followers
0.1%
>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).
22.9%
Creators
2,291 accounts
23.1%
Consumers
2,312 accounts
54.0%
Dormant
5,397 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):
32
Verified Followers
0.32% of total
887
Protected Accounts
8.87% 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 |
|---|---|---|---|
| @ThamizhachiTh | 212,401 | Politician | Dravidian, Writer, Social Activist |
| @aksharmaBharat | 192,646 | - | - |
| @Matru_Bhoomi | 187,221 | - | - |
| @KulikovUNIATF | 62,275 | Public Health | Global Health, Universal Health Coverage, Sustainable Development |
| @RajeevRanjanDU | 53,678 | Astrologer | Nationalism, Hinduism, Astrology |
| @SMusherure | 36,427 | - | - |
| @alokmehtaeditor | 28,346 | - | - |
| @savita_aap | 25,957 | - | - |
| @_KarishmaK | 20,269 | - | - |
| @ameeque_Jamei | 19,622 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,541
Followers With Bio
5,459
Followers Without Bio
45.41%
% With Bio
54.59%
% 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 3,232 analyzed59,359
Combined Engagement
0
Total Likes
59,359
Total Retweets
11,872
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @narendramodi: बसंत पंचमी और सरस्वती पूजा के पावन अवसर पर आप सभी को हार्दिक शुभकामनाएं।
RT @narendramodi: Launch of the #LargestVaccineDrive. Let us defeat COVID-19. https://t.co/FE0TBn4P8I
RT @narendramodi: Tomorrow, 16th January, India begins the pan-India rollout of COVID-19 Vaccination drive. The launch will take place at 10:30 AM tomorrow morning. https://t.co/zopwtXPmZO
RT @rashtrapatibhvn: चुनौती कितनी ही बड़ी क्यों न हो, न हम रुकेंगे और न भारत रुकेगा।
RT @narendramodi: Addressing the #YogaDay programme. https://t.co/tHrldDlX5c
Key Insights & Takeaways
The account frequently highlights historical and cultural milestones, such as the 'Raman Effect' and the Shri Vishvanath Mandir. It uses a mix of English and Hindi to reach a broader audience and emphasize local significance. The content is primarily focused on academic and institutional updates, with a strong emphasis on university heritage.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 102,161
- + 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 @VCofficeBHU reveals an well-established Twitter presence with 102,161 followers. The account demonstrates a content-creator strategy, averaging 162.5 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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