Bhupendra Patel
Chief Minister of Gujarat
565,703
Followers
567
Following
61,302
Tweets
1,377.0
Avg Engagement
382
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Bhupendrapbjp'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:2017-11-27
- Verification:No
- Location:Gujarat, India
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:457.0
- Avg Retweets per Tweet:920.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive a high number of likes and retweets, indicating strong public interest. The engagement suggests a loyal and active follower base.
457.0
Avg Likes/Tweet
920.1
Avg Retweets/Tweet
1,485,100
Total Likes
2,990,308
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
344
Median Likes
285
Median Retweets
1,333
75th Percentile
28,418
Top Tweet
2.43
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
61.8%
Original
12.8%
Replies
24.7%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
74.6%
With Links
21.5%
With #Tags
30.4%
With @Mentions
0.0%
With Emojis
197
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.03
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 3,250 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 803 retweets (25% 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 3,250 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 Gujarat residents and political supporters. The content is tailored to reflect his leadership and policy achievements.
Below Average
Audience Quality
42.8%
Suspicion Index
65.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
73.8%
Empty Bio
70.9%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
80.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
56.6%
<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.
7,491,102
Total Potential Reach
1
Median Follower Reach
8
75th Percentile Reach
1.3%
>1K followers
0.2%
>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).
12.9%
Creators
6,459 accounts
16.2%
Consumers
8,086 accounts
70.9%
Dormant
35,455 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):
362
Verified Followers
0.36% of total
4,012
Protected Accounts
4.01% 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 | 14,105,093 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PiyushGoyal | 11,787,193 | Politician | Commerce, Industry, Textiles |
| @nsitharaman | 5,348,396 | Politician | Finance, Corporate Affairs, Karnataka |
| @PrakashJavdekar | 2,879,359 | Politician | Politics, Education, Environment |
| @girirajsinghbjp | 1,806,917 | Politician | Nationalism, BJP, Rural Development |
| @ManojTiwariMP | 1,747,516 | Politician | Actor, Singer, Politician |
| @RVCJ_FB | 639,075 | Media | Entertainment, Humor, Viral |
| @priyagupta999 | 620,227 | Film Producer | Bollywood, Film, Media |
| @DrSatishPoonia | 558,477 | Politician | Politics, Leadership, Public Service |
| @MrsGandhi | 514,648 | Politician | Politics, BJP, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,199
Followers With Bio
71,801
Followers Without Bio
28.2%
% With Bio
71.8%
% 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 3,250 analyzed105,361
Combined Engagement
0
Total Likes
105,361
Total Retweets
21,072
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @narendramodi: A spirited Diwali in Kargil! https://t.co/qtIGesk98x
RT @narendramodi: Smt. Droupadi Murmu Ji has devoted her life to serving society and empowering the poor, downtrodden as well as the margin…
RT @narendramodi: Doesn’t the Atal Bridge look spectacular! https://t.co/6ERwO2N9Wv
RT @narendramodi: Thank you Gujarat. I am overcome with a lot of emotions seeing the phenomenal election results. People blessed politics o…
RT @narendramodi: A long wait is over, the Cheetahs have a home in India at the Kuno National Park. https://t.co/8FqZAOi62F
Key Insights & Takeaways
His tweets often focus on government initiatives and public sentiment. He frequently shares messages of condolence and tribute, showing personal connections. He uses Twitter to reinforce his political image and party loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 565,703
- + 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 @Bhupendrapbjp reveals an exceptionally influential Twitter presence with 565,703 followers. The account demonstrates a content-creator strategy, averaging 1,377.0 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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