Aakanksha Singh
Actor,A Proud Physio,who loves to write,sing & dance
52,021
Followers
87
Following
2,487
Tweets
374.4
Avg Engagement
79
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @aakanksha_s30'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:2013-04-08
- Verification:No
- Location:Mumbai,maharashtra
Data Summary
- Tweets Analyzed:2,454
- Avg Likes per Tweet:213.3
- Avg Retweets per Tweet:161.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,454 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is likely relatable and emotionally engaging.
213.3
Avg Likes/Tweet
161.1
Avg Retweets/Tweet
523,473
Total Likes
395,293
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
32
Median Likes
6
Median Retweets
143
75th Percentile
286,746
Top Tweet
7.2
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
53.5%
Original
16.8%
Replies
19.8%
Retweets
9.9%
Quotes
0.0%
Threads
2.1%
With Media
65.7%
With Links
46.2%
With #Tags
56.1%
With @Mentions
41.6%
With Emojis
120
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.5%
Weekday Posts
23.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,454 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 485 retweets (20% 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 2,454 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 10,000 followersHer audience appears to be fans of celebrities and individuals interested in entertainment and wellness. They seem to appreciate her personal and heartfelt messages.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
100.0%
<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.
3,467,366
Total Potential Reach
19
Median Follower Reach
65
75th Percentile Reach
2.2%
>1K followers
0.3%
>10K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,203
Protected Accounts
12.03% of total
4 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 |
|---|---|---|---|
| @SinghLions | 1,325,654 | Restaurateur | Food, Travel, Influencer |
| @Naveenc212 | 133,769 | Actor | Movies, Acting, Entertainment |
| @Kettavan__Memes | 126,291 | Meme Creator | Memes, Comedy, Life |
| @lawofthinking | 125,393 | - | - |
| @SiddhanthKapoor | 65,971 | Actor | Family, Fitness, Movies |
| @HajraKamal12 | 62,480 | - | - |
| @HarkiratKukreja | 60,044 | - | - |
| @avinashonly | 51,706 | - | - |
| @neelkantbakshi | 49,739 | - | - |
| @THARZIKA | 38,993 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,144
Followers With Bio
4,856
Followers Without Bio
51.44%
% With Bio
48.56%
% 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 2,454 analyzed330,339
Combined Engagement
38,442
Total Likes
291,897
Total Retweets
66,068
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @RealPaulWalker: It's with a heavy heart that we must confirm Paul Walker passed away today in a tragic car accident...MORE: http://t.co/9hDuJMH99M - #TeamPW
Sorry for the Late wishes 🙈 Happy happy birthday everyone’s favourite.. @akshaykumar sir you have inspired me to be crazier funnier and how to break all the boundaries as an actor this i have shot long back couldn’t find a better day to post it . P.s to everyone..don’t judge 😝 ht
May your power keep growing with everything you do our #PowerStar @PawanKalyan Garu 🥳.. wish you health,success,love and loads of happiness ♥️🙏🏻 #HBDPowerStar #HappyBirthdaypowerstar #HBDPSPK
Happy birthday sir @KicchaSudeep ♥️🤗 keep inspiring and stay as amazing as you are 🎂 https://t.co/oCX9T7obPd
Happy holi my tweeples ♥️ #HappyHoli https://t.co/LdXmpar4Uf
Key Insights & Takeaways
She leverages celebrity mentions to boost engagement and connection. Her content often includes emotional and celebratory messages that resonate with her followers. She uses hashtags effectively to increase visibility and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,021
- + 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 @aakanksha_s30 reveals an well-established Twitter presence with 52,021 followers. The account demonstrates a content-creator strategy, averaging 374.4 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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