Dr. Madan Mohan Jha
Ex-President, @IncBihar | A Congress worker | MLC | Ex-Minister Revenue and Land Reforms
52,273
Followers
784
Following
13,072
Tweets
1,688.2
Avg Engagement
37
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DrMadanMohanJha'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:2014-02-01
- Verification:No
- Location:Patna, Bihar
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:120.3
- Avg Retweets per Tweet:1,567.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive a moderate number of likes and retweets, indicating a consistent but not overwhelming level of interaction. The engagement is likely driven by his political stance and local news.
120.3
Avg Likes/Tweet
1,567.9
Avg Retweets/Tweet
390,864
Total Likes
5,095,710
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
61
Median Retweets
650
75th Percentile
60,087
Top Tweet
32.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
24.8%
Original
35.8%
Replies
36.4%
Retweets
3.0%
Quotes
0.0%
Threads
0.0%
With Media
52.3%
With Links
18.6%
With #Tags
76.7%
With @Mentions
3.9%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.44
Reply/Original Ratio
0.08
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 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,182 retweets (36% 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 10,000 followersHis audience likely includes political supporters, local residents of Bihar, and individuals interested in governance and corruption. They are engaged with his critiques and updates on public matters.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
100.0%
<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.
21,584,046
Total Potential Reach
26
Median Follower Reach
185
75th Percentile Reach
7.0%
>1K followers
0.7%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
766
Protected Accounts
7.66% 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 | 14,097,309 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ShayarImran | 1,402,509 | Politician | Politics, Poetry, Activism |
| @SinghLions | 1,325,658 | Restaurateur | Food, Travel, Influencer |
| @pankajjha_ | 338,197 | Editor | Editor, ABP News, IIMCian, Journalism |
| @bharatjodo | 287,377 | Activist | Unity, Nation-building, Social justice |
| @salman7khurshid | 173,031 | Lawyer | Law, Justice, Politics |
| @AnumaVidisha | 101,276 | - | - |
| @MukulWasnik | 86,104 | Politician | Wildlife, Politics, Youth |
| @ssrajputINC | 74,687 | Political Commentator | Politics, Media, Congress |
| @Ch_AnilKumarINC | 66,997 | Politician | Politics, Congress, Youth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,903
Followers With Bio
4,097
Followers Without Bio
59.03%
% With Bio
40.97%
% 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 analyzed159,559
Combined Engagement
0
Total Likes
159,559
Total Retweets
31,912
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @RahulGandhi: मैं भारत की आवाज़ के लिए लड़ रहा हूं। मैं हर कीमत चुकाने को तैयार हूं।
RT @RahulGandhi: LIC की पूंजी, अडानी को! SBI की पूंजी, अडानी को! EPFO की पूंजी भी, अडानी को! ‘मोडानी’ के खुलासे के बाद भी, जनता के रिटायरमेंट का पैसा अडानी की कंपनियों में निवेश क्यों किया जा रहा है? प्रधानमंत्री जी, न जांच, न जवाब! आख़िर इतना डर क्यों?
RT @RahulGandhi: देश के खिलाड़ियों के साथ ऐसा बर्ताव बहुत ही शर्मनाक है। ‘बेटी बचाओ' बस ढोंग है! असल में भाजपा भारत की बेटियों पर अत्याचार करने से कभी पीछे नहीं हटी है। https://t.co/TRgPyM8UbF
RT @RahulGandhi: अग्निपथ - नौजवानों ने नकारा कृषि कानून - किसानों ने नकारा नोटबंदी - अर्थशास्त्रियों ने नकारा GST - व्यापारियों ने नकारा देश की जनता क्या चाहती है, ये बात प्रधानमंत्री नहीं समझते क्यूंकि उन्हें अपने ‘मित्रों’ की आवाज़ के अलावा कुछ सुनाई नहीं देता।
RT @RahulGandhi: न कोई रैंक, न कोई पेंशन न 2 साल से कोई direct भर्ती न 4 साल के बाद स्थिर भविष्य न सरकार का सेना के प्रति सम्मान देश के बेरोज़गार युवाओं की आवाज़ सुनिए, इन्हे 'अग्निपथ' पर चला कर इनके संयम की 'अग्निपरीक्षा' मत लीजिए, प्रधानमंत्री जी।
Key Insights & Takeaways
He frequently highlights corruption and mismanagement in Bihar's administration. His tweets often focus on public infrastructure issues and government negligence. He expresses gratitude to senior Congress leaders, indicating a strong party alignment.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,273
- + High community engagement through conversations
- + 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 @DrMadanMohanJha reveals an exceptionally influential Twitter presence with 52,273 followers. The account demonstrates a conversation-first approach, averaging 1,688.2 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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