Harsh Sanghavi
Minister of State- Home, Industries, Transport, Youth & Sports (I/C) | MLA Surat, Majura | Proud Indian
717,517
Followers
3,276
Following
73,646
Tweets
1,106.4
Avg Engagement
506
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sanghaviharsh'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:2010-07-27
- Verification:No
- Location:Gujarat
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:413.0
- Avg Retweets per Tweet:693.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsHis tweets receive substantial likes and retweets, indicating a highly engaged audience. The consistent interaction suggests a loyal following that values his political messages and regional pride.
413.0
Avg Likes/Tweet
693.5
Avg Retweets/Tweet
1,337,653
Total Likes
2,246,138
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
116
Median Likes
141
Median Retweets
1,185
75th Percentile
38,493
Top Tweet
1.54
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
44.5%
Original
5.0%
Replies
41.2%
Retweets
9.4%
Quotes
0.0%
Threads
0.2%
With Media
60.4%
With Links
23.8%
With #Tags
57.1%
With @Mentions
9.3%
With Emojis
139
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
61.8%
Weekday Posts
38.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 1,333 retweets (41% 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 3,239 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 primarily consists of political supporters, residents of Gujarat, and individuals interested in state-level governance. The engagement suggests a strong connection with his local community and followers.
Below Average
Audience Quality
40.5%
Suspicion Index
61.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
70.7%
Empty Bio
65.6%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
76.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
51.4%
<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.
10,707,169
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.5%
>1K followers
0.2%
>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).
16.6%
Creators
8,288 accounts
17.8%
Consumers
8,890 accounts
65.6%
Dormant
32,822 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):
399
Verified Followers
0.4% of total
3,666
Protected Accounts
3.67% 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 |
|---|---|---|---|
| @JohnCena | 14,105,163 | Wrestler | Wrestling, Motivation, Self-promotion |
| @smritiirani | 12,726,534 | Politician | Women's empowerment, Child welfare, Politics |
| @BDUTT | 7,130,642 | Journalist | Journalism, Reporting, Writing |
| @nsitharaman | 5,347,799 | Politician | Finance, Corporate Affairs, Karnataka |
| @chitraaum | 2,201,220 | Journalist | News, Journalism, Television |
| @IndiaHistorypic | 1,376,224 | Historian | - |
| @rjraunac | 999,684 | Radio Jockey | Radio, Bauaa, Comedy |
| @AMISHDEVGAN | 881,661 | Journalist | News, Journalism, Current Affairs |
| @gauravbh | 653,293 | - | - |
| @PrabhuChawla | 574,273 | Journalist | Politics, Journalism, Challenges |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
30,280
Followers With Bio
69,720
Followers Without Bio
30.28%
% With Bio
69.72%
% 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 3,239 analyzed117,514
Combined Engagement
85,251
Total Likes
32,263
Total Retweets
23,503
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
How’s the JOSH Gujarat?
जो प्रतिज्ञा ली है, उसे निष्ठापूर्वक निभाऊंगा! जय जय गर्वी गुजरात 🙏🏻 https://t.co/IIJmFJ4lQj
RT @narendramodi: Thank you Gujarat. I am overcome with a lot of emotions seeing the phenomenal election results. People blessed politics o…
सूरत की गलियों में केवल एक ही नाम मोदी....मोदी.... https://t.co/8qJwQjwK5E
मित्र हूं और रहूंगा! धन्यवाद मजुरा 🙏🏼 https://t.co/eLaMerFEXu
Key Insights & Takeaways
He emphasizes his dedication to Gujarat and public service through his tweets. His content often includes expressions of loyalty and commitment to his role as an MLA and minister. He uses regional pride and gratitude towards his constituency to strengthen his public image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 717,517
- + 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 @sanghaviharsh reveals an exceptionally influential Twitter presence with 717,517 followers. The account demonstrates a content-creator strategy, averaging 1,106.4 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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