Wrogn
We are India's Quirkiest Men's Fashion Brand. Period.
61,729
Followers
375
Following
3,802
Tweets
101.4
Avg Engagement
9
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StayWrogn'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:2014-10-15
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:81.4
- Avg Retweets per Tweet:20.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsStayWrogn's tweets receive high average likes and retweets, indicating strong audience interaction. Their content often includes hashtags and links to drive further engagement.
81.4
Avg Likes/Tweet
20.0
Avg Retweets/Tweet
264,413
Total Likes
64,925
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
27
75th Percentile
18,562
Top Tweet
1.64
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
45.6%
Original
47.2%
Replies
2.9%
Retweets
4.3%
Quotes
0.0%
Threads
0.5%
With Media
69.2%
With Links
42.4%
With #Tags
72.1%
With @Mentions
31.8%
With Emojis
118
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
1.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.4%
Weekday Posts
15.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 94 retweets (3% 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 3,247 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 brand targets fashion-conscious men in India who are interested in social causes. They also appeal to fans of Virat Kohli and those looking for meaningful engagement.
Average
Audience Quality
34.2%
Suspicion Index
37.7%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.4%
Empty Bio
49.9%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
77.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
31.9%
<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.
83,835,003
Total Potential Reach
6
Median Follower Reach
29
75th Percentile Reach
1.5%
>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).
23.8%
Creators
11,906 accounts
26.2%
Consumers
13,120 accounts
49.9%
Dormant
24,974 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):
20
Verified Followers
0.03% of total
4,141
Protected Accounts
6.95% of total
6 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 |
|---|---|---|---|
| @imVkohli | 54,742,182 | Cricketer | Cricket, Family, Fatherhood |
| @SrBachchan | 48,423,074 | Actor | Bollywood, Actor, Poetry |
| @JohnCena | 14,106,792 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RCBTweets | 6,574,288 | Sports Team | Cricket, Bangalore, Official App |
| @KKRiders | 5,198,765 | Sports Team | Cricket, Kolkata, IPL |
| @verified | 4,201,570 | - | - |
| @SunRisers | 3,174,511 | Cricket Team | Cricket, IPL, Instagram |
| @DelhiCapitals | 2,523,655 | Sports Team | Cricket, Delhi, Sports |
| @TeamVirat | 1,383,017 | Fan Club | Cricket, Virat Kohli, News |
| @myntra | 700,059 | Fashion Retailer | Fashion, India, Shopping |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,760
Followers With Bio
25,845
Followers Without Bio
56.64%
% With Bio
43.36%
% 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 3,247 analyzed75,380
Combined Engagement
71,348
Total Likes
4,032
Total Retweets
15,076
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Guys, even a small contribution can make a big difference. Together let's #unclogourstreets. #findyourcause #viratkohli #staywrogn https://t.co/16qAgI7bYe
Our main man in action! @imVkohli #StayWrogn https://t.co/taGEJ11WhO
Fighting for nature - is that your cause? #FindYourCause @imVkohli https://t.co/1u117DRQBC
Good to be back on top. https://t.co/A9OykKr66Q
Hands up, and prepare to scream with joy. It's the festival of colours, and @imVkohli's ready with the first shots! #HappyHoli people! #Holi2019 #Holi2K19 #HoliHai #HoliCelebration #StayWrogn https://t.co/uhqJ05NCFl
Key Insights & Takeaways
Collaborations with influencers like Virat Kohli boost engagement and visibility. Promoting social causes aligns with the audience's values and encourages participation. Using hashtags effectively helps in creating a sense of community and shared purpose.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,729
- + 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 @StayWrogn reveals an well-established Twitter presence with 61,729 followers. The account demonstrates a conversation-first approach, averaging 101.4 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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