Nilufar Usmonova
93,185
Followers
215
Following
10,874
Tweets
14.4
Avg Engagement
197
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Nilufarposha'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:2011-08-15
- Verification:No
- Location:Uzbekistan
Data Summary
- Tweets Analyzed:3,144
- Avg Likes per Tweet:6.0
- Avg Retweets per Tweet:8.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,144 tweetsThe account maintains a steady level of engagement with an average of 124 likes and 12 retweets per tweet. The engagement rate indicates a consistent but not exceptionally high level of interaction.
6.0
Avg Likes/Tweet
8.4
Avg Retweets/Tweet
19,004
Total Likes
26,261
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
7
75th Percentile
7,600
Top Tweet
0.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
78.1%
Original
6.2%
Replies
14.1%
Retweets
1.6%
Quotes
0.0%
Threads
1.1%
With Media
86.6%
With Links
20.6%
With #Tags
28.5%
With @Mentions
61.3%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,144 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 444 retweets (14% 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 3,144 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 likely includes a broad demographic interested in positive and relatable content. The engagement suggests a loyal and active follower base.
Below Average
Audience Quality
49.0%
Suspicion Index
79.2%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
81.1%
Empty Bio
89.3%
<10 Tweets
0.4%
Mass Following (>2K)
0.0%
New (<90 days)
87.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.8%
No URL
77.2%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
283,851
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.2%
>1K followers
0.0%
>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).
2.8%
Creators
284 accounts
7.8%
Consumers
782 accounts
89.3%
Dormant
8,934 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
176
Protected Accounts
1.76% 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 |
|---|---|---|---|
| @FerminRodriguez | 169,990 | Photographer | Photography, Instagram, Beaverton |
| @steveswerdlow | 14,681 | - | - |
| @ShahnozaSoatova | 9,139 | - | - |
| @Suncityka | 9,091 | - | - |
| @KhikmatPulatov | 7,005 | - | - |
| @al_tashkandi | 4,678 | - | - |
| @name__me | 4,531 | - | - |
| @sulaymanov73 | 3,200 | - | - |
| @ShavkatNZ | 2,200 | - | - |
| @JahongirOston | 2,124 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
1,888
Followers With Bio
8,112
Followers Without Bio
18.88%
% With Bio
81.12%
% 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 3,144 analyzed19,431
Combined Engagement
0
Total Likes
19,431
Total Retweets
3,886
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @KimKardashian: Happy 4th of July!!! 🇺🇸💥🎉 http://t.co/WY1L7lq3QW
RT @iamsrk: More & more I realise with my interactions with people....sometimes silence is the only source of my voice. http://t.co/9GuY44kord
RT @britneyspears: Another one from the @WomensHealthMag shoot! http://t.co/C8gGJegc3y
RT @iamsrk: Make up is not just to look pretty on screen. It helps cover the bruises. Thot as I nurse my knee…my lil one says “Papa toot gaya…”
RT @ChevroletFC: See how the Sierra Leone Amputee Soccer League prove through play, anything is possible. http://t.co/vLxr5dKYei http://t.co/g3Af7HqB98
Key Insights & Takeaways
The user's content is primarily positive and friendly, which may contribute to a loyal following. The lack of a bio suggests a focus on content rather than personal branding. The use of links in top tweets indicates a mix of content types, possibly including multimedia or external resources.
Strengths
- + Established follower base of 93,185
- + 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 @Nilufarposha reveals an growing Twitter presence with 93,185 followers. The account demonstrates a content-creator strategy, averaging 14.4 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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