Sushma Verma
Indian Woman Cricketer | Himachal Pradesh | Shimla
123,120
Followers
114
Following
1,104
Tweets
403.5
Avg Engagement
84
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ImSushVerma'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:2012-11-15
- Verification:No
- Location:India(Shimla,Hp)
Data Summary
- Tweets Analyzed:1,100
- Avg Likes per Tweet:129.7
- Avg Retweets per Tweet:273.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,100 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in her content.
129.7
Avg Likes/Tweet
273.8
Avg Retweets/Tweet
142,658
Total Likes
301,213
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
3
Median Retweets
119
75th Percentile
48,255
Top Tweet
3.28
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
41.9%
Original
23.4%
Replies
22.2%
Retweets
12.5%
Quotes
0.0%
Threads
0.5%
With Media
50.6%
With Links
41.0%
With #Tags
60.4%
With @Mentions
43.9%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,100 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 244 retweets (22% 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 1,100 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 appears to be primarily sports enthusiasts and fans of women's cricket, with a strong presence in India.
Average
Audience Quality
32.3%
Suspicion Index
30.3%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
36.6%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
82.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
21.4%
<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.
45,513,174
Total Potential Reach
11
Median Follower Reach
44
75th Percentile Reach
1.7%
>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).
33.4%
Creators
16,680 accounts
30.0%
Consumers
15,021 accounts
36.6%
Dormant
18,299 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):
116
Verified Followers
0.11% of total
8,023
Protected Accounts
7.94% 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 |
|---|---|---|---|
| @narendramodi | 88,280,944 | Politician | Politics, Leadership, Development |
| @ImRaina | 20,968,584 | Cricketer | Cricket, Co-Founder, Care |
| @JohnCena | 14,101,228 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rpsingh | 1,565,828 | Cricketer | Cricket, Business, India |
| @ProteasMenCSA | 1,371,864 | Cricket | Cricket, South Africa, Custodians |
| @TajinderBagga | 1,118,636 | Politician | BJYM, BJP, Spokesperson |
| @T20WorldCup | 1,030,216 | Sports Event | Cricket, Men's, Women's |
| @UNICEFIndia | 1,030,189 | Humanitarian | Children, Rights, Potential |
| @thebetterindia | 802,614 | Media | Uplifting stories, social impact, India |
| @sanghaviharsh | 672,653 | Politician | Politics, Youth, Public Welfare |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,146
Followers With Bio
43,852
Followers Without Bio
56.58%
% With Bio
43.42%
% 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 1,100 analyzed159,269
Combined Engagement
19,125
Total Likes
140,144
Total Retweets
31,854
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @DalaiLama: I am one of the 7 billion human beings alive today. We each have a responsibility to think about humanity and the good of th…
RT @RailMinIndia: भारतीय रेल कभी युद्धकाल में भी नहीं रुकी कृपया परिस्थितियों की गम्भीरता समझिए घर में ही रहिये। 🙏🙏
RT @DalaiLama: I always consider that the shape of the future is in our hands. The past is past and can’t be changed, but the future has no…
RT @narendramodi: मैं नि:शब्द हूं, शून्य में हूं, लेकिन भावनाओं का ज्वार उमड़ रहा है। हम सभी के श्रद्धेय अटल जी हमारे बीच नहीं रहे। अपने…
All this while we had each other's back. Blessed to be part of this squad. It has been one amazing journey. #proudteamselfie #thankyou 🇮🇳🇮🇳 https://t.co/CjaGoI2DDz
Key Insights & Takeaways
She emphasizes team spirit and gratitude towards her squad. She highlights her performance and dedication to the sport. She uses hashtags and links to engage her audience further.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,120
- + 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 @ImSushVerma reveals an well-established Twitter presence with 123,120 followers. The account demonstrates a content-creator strategy, averaging 403.5 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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