Sakshi Singh 🇮🇳❤️
390,440
Followers
187
Following
1,467
Tweets
619.0
Avg Engagement
257
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SaakshiSRawat'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:2012-02-23
- Verification:No
- Location:Ranchi, India
Data Summary
- Tweets Analyzed:1,449
- Avg Likes per Tweet:444.5
- Avg Retweets per Tweet:174.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,449 tweetsTheir tweets receive substantial engagement, with high average likes and retweets, indicating a strong and active community. The content resonates well with followers, encouraging interaction and discussion.
444.5
Avg Likes/Tweet
174.6
Avg Retweets/Tweet
644,039
Total Likes
252,927
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
15
Median Retweets
347
75th Percentile
47,680
Top Tweet
1.59
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
59.0%
Original
33.5%
Replies
7.0%
Retweets
0.4%
Quotes
0.0%
Threads
1.7%
With Media
35.1%
With Links
9.8%
With #Tags
42.9%
With @Mentions
8.9%
With Emojis
54
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.3%
Weekday Posts
29.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,449 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 102 retweets (7% 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 1,449 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 followersSaakshiSRawat's audience includes citizens of Jharkhand and others interested in political and social issues. They likely attract individuals concerned with public welfare and governance.
Average
Audience Quality
33.1%
Suspicion Index
39.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
48.9%
<10 Tweets
4.3%
Mass Following (>2K)
0.0%
New (<90 days)
76.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
34.2%
<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.
9,394,146
Total Potential Reach
4
Median Follower Reach
21
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).
28.2%
Creators
14,115 accounts
22.8%
Consumers
11,418 accounts
48.9%
Dormant
24,467 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):
148
Verified Followers
0.15% of total
7,616
Protected Accounts
7.62% 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 | 1,334,799 | Restaurateur | Food, Travel, Influencer |
| @DHONIism | 1,146,040 | Cricket Fan | Cricket, MSDhoni, WhistlePodu |
| @RVCJ_FB | 639,621 | Media | Entertainment, Humor, Viral |
| @manoramanews | 507,530 | News Channel | News, Infotainment, Malayalam |
| @onlynikil | 486,322 | Public Relations | South Indian Films, PR, Media |
| @sagarcasm | 448,035 | Comedian | Clean Jokes, Keen Folks, Sagar |
| @ranvijaylive | 395,704 | Journalist | Environment, Fitness, Journalism |
| @thinkmusicindia | 316,740 | Music Promoter | South Indian Film Music |
| @TheArijitSingh | 274,241 | Singer | Music, Singer, YouTube |
| @Actor_Mahendran | 229,810 | Actor | Musasi, Amigogarage, MSD veriyan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,514
Followers With Bio
42,486
Followers Without Bio
57.51%
% With Bio
42.49%
% 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 1,449 analyzed177,132
Combined Engagement
152,108
Total Likes
25,024
Total Retweets
35,426
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
https://t.co/1iVmKESIBO
Its called rumours !
As a tax payer of Jharkhand just want to know why is there a power crisis in Jharkhand since so many years ? We are doing our part by consciously making sure we save energy !
@msdhoni @narendramodi 🙏🏻🙏🏻
💛🙏🏻 https://t.co/beoQX3aOuR
Key Insights & Takeaways
They focus on public grievances and demand accountability from authorities Their tweets often highlight systemic issues and call for transparency They engage with followers by encouraging dialogue and raising awareness
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 390,440
- + 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 @SaakshiSRawat reveals an well-established Twitter presence with 390,440 followers. The account demonstrates a content-creator strategy, averaging 619.0 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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