Jitendra Kumar Rai
Minister of Art, Culture & Youth Department, Bihar. || Worker of @RJDforIndia. || MLA from Marhaura-117, Since 2010 to till date from || RTs Are Ambiguous.
79,556
Followers
977
Following
4,642
Tweets
413.1
Avg Engagement
19
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JitendraRaiMLA'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:2019-11-23
- Verification:No
- Location:Patna, India
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:271.6
- Avg Retweets per Tweet:141.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is often driven by political and social issues that resonate with his followers.
271.6
Avg Likes/Tweet
141.5
Avg Retweets/Tweet
869,193
Total Likes
452,738
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
96
Median Likes
32
Median Retweets
463
75th Percentile
16,009
Top Tweet
5.19
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
48.6%
Original
9.8%
Replies
36.9%
Retweets
4.7%
Quotes
0.0%
Threads
0.1%
With Media
69.6%
With Links
19.1%
With #Tags
65.1%
With @Mentions
16.0%
With Emojis
192
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 1,181 retweets (37% 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 3,200 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 political supporters and residents of Bihar, particularly those interested in local governance and youth-related policies. The audience is also engaged with social and political commentary.
Average
Audience Quality
34.9%
Suspicion Index
44.9%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.0%
Empty Bio
48.1%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
72.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
30.8%
<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.
2,347,189
Total Potential Reach
6
Median Follower Reach
44
75th Percentile Reach
2.3%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
24.6%
Creators
2,457 accounts
27.3%
Consumers
2,729 accounts
48.1%
Dormant
4,814 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):
23
Verified Followers
0.23% of total
544
Protected Accounts
5.44% 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 |
|---|---|---|---|
| @conquerer1 | 235,758 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @shyamyadav2408 | 168,063 | - | - |
| @NehaYadavBHU | 157,351 | Politician | Politics, Research, Education |
| @Akhtaruliman5 | 149,503 | Politician | Politics, Leadership, Bihar |
| @sonker_ragini | 110,960 | Politician | Politics, Public Service, Legislation |
| @SunilydvSS | 92,427 | - | - |
| @MrigendraSpeaks | 76,761 | - | - |
| @iPriyaSinha | 46,416 | - | - |
| @tanvirsadiq | 35,823 | - | - |
| @RSFBLB | 28,462 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,096
Followers With Bio
5,904
Followers Without Bio
40.96%
% With Bio
59.04%
% 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 3,200 analyzed54,376
Combined Engagement
44,109
Total Likes
10,267
Total Retweets
10,875
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
जनता का मुख्यमंत्री श्री तेजस्वी प्रसाद यादव जी है.... अगर सहमत है तो रिट्वीट करें..... रिट्वीट करने वाले हर यूजर को फॉलो बैक दूंगा।
#शेर_लालू_आया https://t.co/2JQ5FRYopU
शिक्षक को डाँटने वाले वो डीएम साहब खुद उसी वेशभूषा में आईएएस की बजाय जनप्रतिनिधि बनकर घूम रहे हैं। कोई तो वेतन रुकवाओ रे!!!! या निर्बलों पर ही चलेगा हर डंडा? https://t.co/ta3qJbjfdt
जब पूर्व सांसद मोहम्मद शाहबुद्दीन साहब की करोना रिपोर्ट नेगेटिव थे,तो फिर उनकी इलाज में इतनी लापरवाही क्यों.. #JusticeForShahabuddin
बिहार में शराबबंदी हो या लॉकडाउन कुछ इस तरह है.. https://t.co/bsgQUurVn2
Key Insights & Takeaways
He uses retweets as a tool for amplifying messages and building a community of supporters. His content often includes direct calls to action, such as encouraging followers to retweet and follow back. He frequently comments on local governance and social issues, which helps in shaping public opinion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 79,556
- + 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 @JitendraRaiMLA reveals an well-established Twitter presence with 79,556 followers. The account demonstrates a content-creator strategy, averaging 413.1 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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