Eesha Rebba
Believer... Dreamer... Achiever... [email protected] 🩵 https://www.facebook.com/unsupportedbrowser 🩵 https://www.facebook.com/unsupportedbrowser
1,148,815
Followers
370
Following
4,648
Tweets
3,063.9
Avg Engagement
250
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YoursEesha'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: Mega Influencer (1M+)
- Account Age:2010-08-02
- Verification:No
- Location:Hyderabad, India
Data Summary
- Tweets Analyzed:3,159
- Avg Likes per Tweet:2,729.5
- Avg Retweets per Tweet:334.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,159 tweetsTheir tweets consistently receive high engagement, with an average of 41,899 likes and 7,676 retweets per post. This indicates a highly interactive and loyal follower base.
2,729.5
Avg Likes/Tweet
334.3
Avg Retweets/Tweet
8,622,592
Total Likes
1,056,188
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
68
Median Likes
45
Median Retweets
2,440
75th Percentile
88,816
Top Tweet
2.67
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
34.5%
Original
24.0%
Replies
31.0%
Retweets
10.5%
Quotes
0.0%
Threads
0.5%
With Media
56.9%
With Links
41.1%
With #Tags
65.5%
With @Mentions
57.5%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,159 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 980 retweets (31% 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 3,159 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 followersYoursEesha's audience appears to be diverse, drawn to their relatable and uplifting messages. They likely appeal to a broad demographic interested in personal growth and inspiration.
Below Average
Audience Quality
41.2%
Suspicion Index
57.5%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.5%
Empty Bio
63.1%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
83.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.5%
No URL
45.4%
<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.
3,701,283
Total Potential Reach
4
Median Follower Reach
19
75th Percentile Reach
0.8%
>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).
15.3%
Creators
7,658 accounts
21.6%
Consumers
10,779 accounts
63.1%
Dormant
31,563 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):
98
Verified Followers
0.1% of total
6,832
Protected Accounts
6.76% 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 |
|---|---|---|---|
| @hinaparvezbutt | 2,490,806 | Politician | Politics, Leadership, Writing |
| @RaoKavitha | 1,285,519 | Politician | Politics, Social Work, Family |
| @MilesSTEREOS | 861,781 | Musician | Guitarist, Writer, Producer |
| @RVCJ_FB | 632,085 | Media | Entertainment, Humor, Viral |
| @DavidCastain | 108,099 | Academic | Forbes, Ph.D. Candidate, Kappa Alpha Psi |
| @iamsktiwarii | 95,289 | Film Producer | Films, Ad Films, Music |
| @itsattiya | 92,452 | Marketer | Digital Media, Fashion, Beauty |
| @ActorSriman | 90,281 | Actor | family, friends, nature |
| @stysysysstyssty | 87,250 | - | - |
| @ShaliniBKapoor | 80,645 | Influencer | Fashion, New beginnings, No DMs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
31,407
Followers With Bio
69,592
Followers Without Bio
31.1%
% With Bio
68.9%
% 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 3,159 analyzed323,246
Combined Engagement
159,330
Total Likes
163,916
Total Retweets
64,649
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @goldenglobes: “I want all of the girls watching here now to know, that a new day is on the horizon.” @Oprah accepts the 2018 Cecil B. d…
Hi💛 https://t.co/HEyDpMRmj2
RT @Jamjar83: 708 DEAD in the last 24 hours. The 13 year old boy was buried with NO immediate family there. A 5 year old has DIED. NHS sta…
Hi 😁 https://t.co/Z9i14dznL2
🙃 https://t.co/Cv2KAd6sBK
Key Insights & Takeaways
High engagement suggests a strong connection with the audience Content is likely personal and emotionally resonant Consistency in posting and messaging helps maintain follower interest
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,148,815
- + 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 @YoursEesha reveals an exceptionally influential Twitter presence with 1,148,815 followers. The account demonstrates a content-creator strategy, averaging 3,063.9 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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