Prince Narula
https://en.m.wikipedia.org/wiki/Prince_Na….
582,692
Followers
99
Following
2,744
Tweets
381.8
Avg Engagement
71
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @princenarula88'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:2015-03-09
- Verification:No
- Location:Mumbai, India
Data Summary
- Tweets Analyzed:2,658
- Avg Likes per Tweet:260.7
- Avg Retweets per Tweet:121.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,658 tweetsThe account consistently receives high average likes and retweets, indicating a loyal and active follower base.
260.7
Avg Likes/Tweet
121.0
Avg Retweets/Tweet
693,010
Total Likes
321,716
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
18
Median Retweets
247
75th Percentile
16,276
Top Tweet
0.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
20.0%
Original
26.7%
Replies
47.4%
Retweets
6.0%
Quotes
0.0%
Threads
0.2%
With Media
40.9%
With Links
40.3%
With #Tags
86.6%
With @Mentions
19.3%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.34
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.6%
Weekday Posts
23.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,658 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 1,259 retweets (47% 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 2,658 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 followersThe audience appears to be interested in celebrity culture and political or public figure support, particularly around the BB16 context.
Below Average
Audience Quality
35.1%
Suspicion Index
45.6%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
50.7%
<10 Tweets
4.0%
Mass Following (>2K)
0.0%
New (<90 days)
77.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.1%
No URL
36.5%
<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.
19,857,756
Total Potential Reach
2
Median Follower Reach
14
75th Percentile Reach
0.8%
>1K followers
0.1%
>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).
28.0%
Creators
14,004 accounts
21.2%
Consumers
10,624 accounts
50.7%
Dormant
25,372 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):
64
Verified Followers
0.06% of total
7,612
Protected Accounts
7.61% 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 |
|---|---|---|---|
| @JohnCena | 14,105,080 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 801,815 | Activism | equality, bullying, discrimination |
| @thebetterindia | 801,634 | Media | Uplifting stories, social impact, India |
| @etimes | 577,416 | Entertainment News | Bollywood, Regional cinema, Hollywood |
| @IamMzilikazi | 546,106 | Musician | Pan-African music, Album, Rise |
| @recycleindia | 399,869 | Environmental Activist | recycling, waste disposal, clean India |
| @iAmVJAndy | 307,146 | TV Presenter | TV Presenter, Actor, Stylish |
| @t2telegraph | 302,167 | Entertainment Tabloid | Entertainment, Tabloid, Telegraph |
| @preetee394911 | 247,429 | - | - |
| @karishmakotak | 172,984 | TV Presenter | TV, IPL, London |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,759
Followers With Bio
51,241
Followers Without Bio
48.76%
% With Bio
51.24%
% 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 2,658 analyzed73,746
Combined Engagement
53,002
Total Likes
20,744
Total Retweets
14,749
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Fab fam❤ https://t.co/OF4wQEBZCi
Trophy jeetna hi hai @ShivThakare9 VIJAYI BHAVA SHIV THAKARE #ShivThakare𓃵 #ShivIsTheBoss
Guys keep Voting for #ShivThakare and make him win #BB16 https://t.co/PYKk2JmZks
We all r with u SHIV #ShivThakare #BB16
U played well #UmaRiaz all the best for life brother Aur @kkundrra stay strong mere bhai u r UNSTOPPABLE KARAN luv u #KaranKundrra https://t.co/2vatQWkMac
Key Insights & Takeaways
The user is heavily involved in promoting and supporting Shiv Thakare, likely as a fan or campaign supporter. The content is focused on rallying support and encouraging voting for Shiv Thakare in BB16. The use of hashtags and links suggests an organized campaign or community effort.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 582,692
- + 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 @princenarula88 reveals an well-established Twitter presence with 582,692 followers. The account demonstrates a conversation-first approach, averaging 381.8 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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