Sana Makbul
Be the Diva you are 👑
53,229
Followers
86
Following
3,470
Tweets
132.7
Avg Engagement
65
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SANAKHAN_93'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: Mid-Tier (10K+)
- Account Age:2012-08-23
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:2,959
- Avg Likes per Tweet:70.3
- Avg Retweets per Tweet:62.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,959 tweetsThe average engagement per tweet is high, with around 5,037 likes and 430 retweets, showing a dedicated and active audience.
70.3
Avg Likes/Tweet
62.4
Avg Retweets/Tweet
208,145
Total Likes
184,560
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
4
Median Retweets
43
75th Percentile
40,125
Top Tweet
2.49
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
44.2%
Original
7.9%
Replies
35.6%
Retweets
12.3%
Quotes
0.0%
Threads
5.1%
With Media
81.2%
With Links
48.1%
With #Tags
56.0%
With @Mentions
57.7%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,959 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 1,052 retweets (36% 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 2,959 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 10,000 followersThe audience appears to be interested in personal stories, emotional content, and possibly entertainment-related topics. They engage with a mix of likes and retweets.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
100.0%
<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.
1,776,508
Total Potential Reach
18
Median Follower Reach
64
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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,503
Protected Accounts
15.03% 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 |
|---|---|---|---|
| @letscinema | 422,879 | - | - |
| @SilvioGReal | 109,321 | Influencer | - |
| @enjoyr8 | 69,995 | Content Creator | Models, Actresses, Posts |
| @VictoriaGabino | 37,331 | - | - |
| @MosesSapir | 32,047 | - | - |
| @MyNameIsNair | 23,503 | - | - |
| @dop_jeetu | 22,583 | - | - |
| @saaj_uk | 16,710 | - | - |
| @Actress_FC_ | 16,133 | - | - |
| @kanmanicutie | 14,484 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,077
Followers With Bio
4,923
Followers Without Bio
50.77%
% With Bio
49.23%
% 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 2,959 analyzed129,081
Combined Engagement
14,559
Total Likes
114,522
Total Retweets
25,816
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @Twitter: you good?
RT @Twitter: you don't need an edit button, you just need to forgive yourself
RT @vivekoberoi: #RIPSushantSinghRajput 🙏 https://t.co/gttlJHY3r3
Miss me ? https://t.co/JiwVZBGc7c
RT @superstarrajini: I extend my full support to our hon. Prime Minister @narendramodi ji’s #SwachhataHiSeva mission. Cleanliness is godliness.
Key Insights & Takeaways
The user frequently shares personal and emotional content, which resonates with their audience. They often use emojis and hashtags to enhance the emotional tone of their tweets. Their top tweets include references to past interactions and emotional themes like loss and soul searching.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,229
- + 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 @SANAKHAN_93 reveals an well-established Twitter presence with 53,229 followers. The account demonstrates a content-creator strategy, averaging 132.7 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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