Priyanka Sarkar
Actor by passion,profile managed by me
381,216
Followers
189
Following
3,588
Tweets
320.4
Avg Engagement
69
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PriyankaSarkarB'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:2015-02-21
- Verification:No
- Location:Kolkata, India
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:305.5
- Avg Retweets per Tweet:14.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHer tweets receive an average of 2,922 likes and 84 retweets, indicating moderate to high engagement. The engagement is likely driven by her poetic and emotional content.
305.5
Avg Likes/Tweet
14.9
Avg Retweets/Tweet
990,551
Total Likes
48,171
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
69
Median Likes
9
Median Retweets
387
75th Percentile
3,775
Top Tweet
0.84
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
50.0%
Original
2.8%
Replies
27.1%
Retweets
20.1%
Quotes
0.0%
Threads
1.3%
With Media
79.2%
With Links
58.4%
With #Tags
62.1%
With @Mentions
39.3%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.74
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 877 retweets (27% 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 3,242 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 interested in storytelling and emotional content, likely including fans of literature and drama. The use of poetic language suggests an appreciation for creative expression.
Below Average
Audience Quality
41.3%
Suspicion Index
50.6%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.6%
Empty Bio
67.0%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
88.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
47.6%
<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.
3,755,120
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
0.6%
>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).
11.2%
Creators
5,601 accounts
21.8%
Consumers
10,912 accounts
67.0%
Dormant
33,487 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):
42
Verified Followers
0.04% of total
6,578
Protected Accounts
6.51% 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 |
|---|---|---|---|
| @N9Nm6GSH6QCSBTN | 595,346 | Influencer | Unknown |
| @PoojaBibi | 376,483 | Unknown | Ganja, Raja, Khela |
| @priya_gamree | 266,091 | Model | Fashion, Modeling, Lifestyle |
| @maryada_maurya | 210,520 | Social Worker | Social work, humanity, politics |
| @seerat_sardarni | 161,188 | Influencer | Fashion, Nathni, Family |
| @OnlyHeroines | 160,042 | Entertainment | Actresses, Anchors, Fashion Models |
| @Anjaligaud8 | 156,987 | Influencer | Travel, Food, Fashion |
| @BrototiChakma | 144,052 | Influencer | Fashion, Beauty, Lifestyle |
| @Farzana346 | 141,514 | Influencer | Bangladesh, Love, Humanity |
| @riponphyAIGH | 138,272 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,493
Followers With Bio
46,506
Followers Without Bio
53.95%
% With Bio
46.05%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,242 analyzed15,783
Combined Engagement
15,529
Total Likes
254
Total Retweets
3,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
বৈশাখী গৃহবন্দী এক বিকেল... https://t.co/hC4pVXaqhI
"She loved a windy day, it made her feel like she was flying..." https://t.co/2OGYI6SDGy
🌗 https://t.co/rmNalrTx8P
Don't be so quick to judge me. You only see what I choose to show you. https://t.co/oalfgm9mOf
The most important thing a girl wears is her confidence... 🖤 https://t.co/JqZdxw11Ky
Key Insights & Takeaways
Her content is highly emotional and poetic, which resonates with her audience. She uses a mix of storytelling and imagery to connect with followers. Her profile management suggests a strategic approach to maintaining her online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 381,216
- + 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 @PriyankaSarkarB reveals an well-established Twitter presence with 381,216 followers. The account demonstrates a content-creator strategy, averaging 320.4 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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