Himanshi khurana
Official account.. 🎂27 Nov.. Actor & Philanthropist... For queries write to [email protected]
742,105
Followers
33
Following
2,807
Tweets
3,358.9
Avg Engagement
113
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @realhimanshi'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:2017-04-10
- Verification:No
- Location:Chandigarh, India
Data Summary
- Tweets Analyzed:2,382
- Avg Likes per Tweet:2,762.6
- Avg Retweets per Tweet:596.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,382 tweetsHer tweets receive an average of 38,755 likes and 8,687 retweets, showing high audience interaction. The content is well-received and often shared across her followers.
2,762.6
Avg Likes/Tweet
596.3
Avg Retweets/Tweet
6,580,573
Total Likes
1,420,303
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
111
Median Retweets
3,684
75th Percentile
93,577
Top Tweet
4.53
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
35.6%
Original
5.5%
Replies
55.5%
Retweets
3.4%
Quotes
0.0%
Threads
0.5%
With Media
46.6%
With Links
58.5%
With #Tags
72.4%
With @Mentions
33.7%
With Emojis
115
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.0%
Weekday Posts
24.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,382 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 1,323 retweets (56% 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 2,382 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 followersHer audience primarily consists of fans and followers interested in her career and personal life. The engagement suggests a mix of admirers and general public interested in her content.
Below Average
Audience Quality
38.7%
Suspicion Index
50.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.2%
Empty Bio
53.0%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
82.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
36.9%
<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.
6,675,888
Total Potential Reach
6
Median Follower Reach
32
75th Percentile Reach
1.1%
>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).
23.1%
Creators
11,550 accounts
23.9%
Consumers
11,942 accounts
53.0%
Dormant
26,508 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):
109
Verified Followers
0.11% of total
7,938
Protected Accounts
7.94% 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 |
|---|---|---|---|
| @ZachBoychuk | 829,946 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @RVCJ_FB | 635,742 | Media | Entertainment, Humor, Viral |
| @IamMzilikazi | 545,538 | Musician | Pan-African music, Album, Rise |
| @mmeghaa85 | 343,402 | Influencer | Fashion, Food, Fitness |
| @damini55 | 249,427 | - | - |
| @FancyNFoxy | 205,388 | Influencer | Fashion, Beauty, Female Empowerment |
| @NamrathaSinha | 164,034 | Homemaker | Family, Fun, Playful |
| @Dr_Rafizadeh | 122,331 | Political Analyst | Politics, Business, Science |
| @SilvioGReal | 110,930 | Influencer | - |
| @Noon_Group | 101,729 | Event Planner | events, sound equipment, decorations |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,685
Followers With Bio
58,315
Followers Without Bio
41.69%
% With Bio
58.31%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,382 analyzed328,531
Combined Engagement
152,374
Total Likes
176,157
Total Retweets
65,706
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @GretaThunberg: We stand in solidarity with the #FarmersProtest in India. https://t.co/tqvR0oHgo0
Ghar ke hi agar baat samjhte to bahar walo ki zaroorat na hoti .....
RT @zozitunzi: Tonight a door was opened and I could not be more grateful to have been the one to have walked through it. May every little…
❤️💫 https://t.co/3pzkkyP3dc
Happy birthday shehnaz 😊💫 https://t.co/rVH7KjOafP
Key Insights & Takeaways
She frequently shares personal and emotional messages, which resonate with her audience. Her content includes both personal milestones and public interactions, indicating a balanced approach. She uses emojis and links to enhance engagement and connect with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 742,105
- + 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 @realhimanshi reveals an exceptionally influential Twitter presence with 742,105 followers. The account demonstrates a content-creator strategy, averaging 3,358.9 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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