Anuja Kapur
SPOKESPERSON @BJP4India||Advocate || Criminal Psychologist || Victimologist || TEDx Speaker || Mental Health Expert ||
87,811
Followers
155
Following
23,856
Tweets
728.3
Avg Engagement
31
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @anujakapurindia'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:2012-12-23
- Verification:No
- Location:New Delhi, India
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:458.5
- Avg Retweets per Tweet:269.8
- Followers Analyzed:10,997
Engagement Analysis
Based on 3,248 tweetsHis tweets typically receive an average of 12,376 likes and 2,716 retweets, indicating strong audience interaction. His verified status at 0.7% suggests a mix of personal and professional followers.
458.5
Avg Likes/Tweet
269.8
Avg Retweets/Tweet
1,489,193
Total Likes
876,330
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
80
Median Likes
52
Median Retweets
668
75th Percentile
26,923
Top Tweet
8.29
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.2%
Original
0.5%
Replies
18.7%
Retweets
10.6%
Quotes
0.0%
Threads
0.0%
With Media
78.9%
With Links
22.6%
With #Tags
46.0%
With @Mentions
11.3%
With Emojis
152
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 608 retweets (19% 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 3,248 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 10,997 followersHis audience includes political enthusiasts, psychology professionals, and individuals interested in mental health and criminal justice. He also attracts followers interested in TEDx-style inspirational content.
Average
Audience Quality
25.3%
Suspicion Index
26.8%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.9%
Empty Bio
18.1%
<10 Tweets
21.8%
Mass Following (>2K)
0.0%
New (<90 days)
52.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
9.7%
<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.
6,744,284
Total Potential Reach
65
Median Follower Reach
250
75th Percentile Reach
7.1%
>1K followers
0.6%
>10K followers
0.2%
>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).
57.5%
Creators
6,326 accounts
24.4%
Consumers
2,685 accounts
18.1%
Dormant
1,986 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):
80
Verified Followers
0.73% of total
539
Protected Accounts
4.9% of total
3 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 |
|---|---|---|---|
| @davidfrawleyved | 615,919 | Vedic Scholar | Yoga, Ayurveda, Vedanta |
| @worthSeeingPic | 556,387 | Photographer | Sun, Nature, Photography |
| @DevprakasMeena | 245,259 | Lawyer | Constitutionalist, Tribal, Personal Views |
| @Senba_Kaientai | 225,292 | Financial Analyst | Finance, Organization, Taxation |
| @cmbjpup | 109,125 | - | - |
| @Sjp1007 | 85,206 | Supporter | Indian culture, Nationalism, Politics |
| @whatonnetflix | 84,212 | Entertainment News | TV shows, Movies, News |
| @nidhileo | 81,190 | Journalist | News, Words, Perseverance |
| @JSKGopi | 78,553 | Film Industry | Spirituality, Film, Politics |
| @M4_VED | 77,175 | Poet | Poet, Teacher, Bodydonor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,170
Followers With Bio
4,827
Followers Without Bio
56.11%
% With Bio
43.89%
% 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 3,248 analyzed94,568
Combined Engagement
60,329
Total Likes
34,239
Total Retweets
18,914
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
ऐसा सिर्फ भारत में ही संभव है! https://t.co/1pRyVP77Ws https://t.co/0iIZhuG5k8
RT @narendramodi: This morning, I had the honour of unveiling the National Emblem cast on the roof of the new Parliament. https://t.co/T49dOLRRg1
बस इतना सा ही फ़र्क़ है…जय श्री राम https://t.co/flPWNlzZCm
क्या दिन आ गए हैं? https://t.co/eSe1VafVkD https://t.co/PBnb6pSIwu
श्रीलंका में केजरीवाल के मॉडल पर चल रहा था। FREE FREE
Key Insights & Takeaways
He frequently uses hashtags and links to promote political and psychological content His tweets often blend political commentary with personal insights and advocacy He leverages his expertise to engage with a diverse audience on mental health and criminal justice topics
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 87,811
- + 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 @anujakapurindia reveals an well-established Twitter presence with 87,811 followers. The account demonstrates a content-creator strategy, averaging 728.3 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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