Evelyn Sharma

Evelyn Sharma

@evelyn_sharma

Movies, motherhood and gardening 🌻 📍 Australia 🇦🇺 🇮🇳 🇩🇪

Australia https://www.evelynsharma.com/ Joined 2008-11-12 Date of Analysis: Dec 16, 2025

206,743

Followers

311

Following

12,440

Tweets

468.5

Avg Engagement

192

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @evelyn_sharma'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:2008-11-12
  • Verification:No
  • Location:Australia

Data Summary

  • Tweets Analyzed:3,189
  • Avg Likes per Tweet:392.0
  • Avg Retweets per Tweet:76.5
  • Followers Analyzed:50,000
  • Following Analyzed:311

Engagement Analysis

Based on 3,189 tweets

Her tweets receive a high number of likes and retweets, showing strong audience interaction. The use of hashtags and calls to action indicates a strategic approach to engagement.

392.0

Avg Likes/Tweet

76.5

Avg Retweets/Tweet

1,250,239

Total Likes

243,909

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

78

Median Likes

6

Median Retweets

424

75th Percentile

53,678

Top Tweet

2.27

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

65.9%

Original

4.0%

Replies

21.9%

Retweets

8.2%

Quotes

0.0%

Threads

1.9%

With Media

76.7%

With Links

55.8%

With #Tags

47.0%

With @Mentions

65.1%

With Emojis

118

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.06

Reply/Original Ratio

0.38

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

78.4%

Weekday Posts

21.6%

Weekend Posts

Top Hashtags

#evelynsharma (243) #bollywood (78) #seamsfordreams (62) #saaho (56) #evelynssecrets (53) #throwback (51) #askevelyn (47) #sfd (46) #mondaymotivation (35) #stupidmansmartphone (33)

Most Mentioned

@evelyn_sharma (413) @seams4dreams (273) @evelynssecrets (121) @wipcreatives (31) @drzeusworld (30) @anushkasharma (25) @iamsrk (25) @feminaindia (22) @ikkanomics (21) @jasminesandlas (20)

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Content Strategy Analysis

Based on 3,189 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,101 (66%)
Replies 129 (4%)
Retweets 697 (22%)
Quote Tweets 262 (8%)

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 697 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 3,189 tweets

Engagement 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 followers

Her audience likely includes movie enthusiasts, parents, and gardening lovers. The mix of personal and entertainment content suggests a broad and engaged following.

Below Average

Audience Quality

37.1%

Suspicion Index

38.5%

Low-Quality %

9

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

46.9%

Empty Bio

47.3%

<10 Tweets

11.3%

Mass Following (>2K)

0.0%

New (<90 days)

88.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.2%

No URL

30.2%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

10,120,743

Total Potential Reach

9

Median Follower Reach

35

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).

24.7%

Creators

12,345 accounts

28.0%

Consumers

14,007 accounts

47.3%

Dormant

23,648 accounts

36

Verified Followers

0.07% of total

3.7%

Professional Bios

founder, dev, analyst, etc.

0.02

Median Follow Ratio

follower/following

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):

India (956) New Delhi, India (586) Mumbai, India (490) Dhaka, Bangladesh (405) Hyderabad, India (374) Kolkata, India (269) Pune, India (241) Bengaluru, India (215) Uttar Pradesh, India (172) Bangladesh (170)

75

Verified Followers

0.07% of total

11,251

Protected Accounts

11.14% of total

5 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
@arunvijayno1 2,275,334 Actor Actor, Skydiver, Filmmaking
@AndrewYang 1,698,478 Entrepreneur Entrepreneur, UBI, Human-Centered Economy
@SinghLions 1,334,123 Restaurateur Food, Travel, Influencer
@BrianDEvans 1,158,866 Entrepreneur NFTs, Crypto, Digital Marketing
@RVCJ_FB 637,651 Media Entertainment, Humor, Viral
@UV_Creations 479,721 Film Production Movies, Production, Blockbusters
@NikeshaPatel 427,840 Actress Acting, Tollywood, Bollywood
@recycleindia 400,236 Environmental Activist recycling, waste disposal, clean India
@Dylan_Bostic 349,248 Wrestler Pro Wrestling, Boxing, Acting
@joshrogin 273,660 Journalist Foreign policy, National security, Journalism

Top Keywords in Follower Bios

love (3,475) life (2,643) student (1,918) indian (1,521) lover (1,479) engineer (1,187) proud (975) india (924) music (904) cricket (868)

Top Hashtags in Follower Bios

#indian (56) #love (50) #prabhas (46) #cricket (39) #yanggang (39) #engineer (33) #student (32) #music (32) #ह (24) #humanityfirst (24)

56,817

Followers With Bio

44,180

Followers Without Bio

56.26%

% With Bio

43.74%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,189 analyzed

143,851

Combined Engagement

10,906

Total Likes

132,945

Total Retweets

28,770

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Movies Motherhood Gardening Entertainment Social Media Engagement

Network & Following Analysis

Based on 311 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

57.6%

Verified Accounts

55.6%

High Authority (>50K)

0.6%

Dormant Accounts

2.3%

Low Quality

74,942

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

33.4%

Individuals

104 accounts

65.3%

Brands/Orgs

203 accounts

1.3%

Media/News

4 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Barack Obama 129,629,445 - -
@ Justin Bieber 113,859,118 - -
@ KATY PERRY 108,832,867 - -
@ Taylor Swift 88,493,202 - -
@ Ariana Grande 83,310,653 - -
@ Ellen DeGeneres 78,157,962 - -
@ Narendra Modi 69,156,634 - -
@ Selena Gomez 64,836,205 - -
@ Twitter 59,235,101 - -
@ Elon Musk 57,290,784 - -

Key Insights & Takeaways

She leverages her personal brand by connecting with fans of popular movies like #Baahubali and #Saaho. Her content is highly interactive, encouraging audience participation through questions and reviews. She uses a mix of personal and entertainment topics to maintain a diverse and engaging feed.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 206,743
  • + 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 @evelyn_sharma reveals an well-established Twitter presence with 206,743 followers. The account demonstrates a content-creator strategy, averaging 468.5 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025