shanvi srivastava
LIVE . LAUGH. LOVE ! A dreamer... a learner.... an actor by profession and passion...
654,318
Followers
261
Following
5,474
Tweets
381.5
Avg Engagement
146
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @shanvisrivastav'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:2011-12-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,144
- Avg Likes per Tweet:300.6
- Avg Retweets per Tweet:80.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,144 tweetsHer tweets receive high engagement, with an average of 12k likes and 1.2k retweets, indicating strong audience interaction. The content is well-received, with a focus on emotional and relatable messages.
300.6
Avg Likes/Tweet
80.9
Avg Retweets/Tweet
945,102
Total Likes
254,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
8
Median Retweets
209
75th Percentile
51,458
Top Tweet
0.58
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
26.1%
Original
26.7%
Replies
27.4%
Retweets
19.7%
Quotes
0.0%
Threads
0.8%
With Media
52.5%
With Links
28.0%
With #Tags
62.8%
With @Mentions
41.0%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,144 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 863 retweets (27% 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 3,144 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 includes fans of her acting career and followers interested in personal stories and motivational messages. The engagement suggests a mix of admirers and supporters who appreciate her authenticity.
Below Average
Audience Quality
38.4%
Suspicion Index
45.5%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
53.2%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
86.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.5%
No URL
36.4%
<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.
10,434,383
Total Potential Reach
6
Median Follower Reach
28
75th Percentile Reach
1.0%
>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).
22.7%
Creators
11,358 accounts
24.1%
Consumers
12,060 accounts
53.2%
Dormant
26,582 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):
74
Verified Followers
0.07% of total
10,486
Protected Accounts
10.49% 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 |
|---|---|---|---|
| @prakashraaj | 2,788,988 | Actor | Social activism, Philanthropy, Acting |
| @MilesSTEREOS | 861,683 | Musician | Guitarist, Writer, Producer |
| @sundeepkishan | 843,685 | Actor | Dreaming, Exploring, Adventure |
| @thebetterindia | 801,608 | Media | Uplifting stories, social impact, India |
| @rakshitshetty | 723,966 | Actor | Cinema, Passion, Ideal World |
| @sridevisreedhar | 679,266 | Film Critic | Movies, Geek, Entertainment |
| @solalexasch | 678,454 | Musician | Music, Travel, Tattoos |
| @itisprashanth | 667,530 | Film Critic | Kollywood, Smile, Reviews |
| @SSMusicTweet | 630,791 | Entertainment | Entertainment, Digital, Music |
| @recycleindia | 399,815 | Environmental Activist | recycling, waste disposal, clean India |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,455
Followers With Bio
49,545
Followers Without Bio
50.45%
% With Bio
49.55%
% 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 3,144 analyzed148,273
Combined Engagement
69,693
Total Likes
78,580
Total Retweets
29,655
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @chetrisunil11: This is nothing but a small plea from me to you. Take out a little time and give me a listen. https://t.co/fcOA3qPH8i
😇 https://t.co/lgv3YleTHQ
what’s happening? 🤔 https://t.co/kRxxtobJ8S
RT @RyanGosling: https://t.co/xMdoA8fvDx
💕 https://t.co/CVvtuOlJOJ
Key Insights & Takeaways
Her content is highly engaging and emotionally resonant, which drives high likes and retweets. She maintains a consistent posting schedule, which helps in keeping her audience active and interested. Her personal and professional blend makes her relatable and trustworthy to her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 654,318
- + 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 @shanvisrivastav reveals an well-established Twitter presence with 654,318 followers. The account demonstrates a conversation-first approach, averaging 381.5 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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