☮ Sophie ☮
💌Social media / Brand Endorsements [email protected] 🎥 Tv / Media / Press [email protected]
806,841
Followers
1,201
Following
30,029
Tweets
351.8
Avg Engagement
445
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SophieKasaei_'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:2011-04-06
- Verification:No
- Location:Newcastle
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:233.9
- Avg Retweets per Tweet:117.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,146 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in her personal updates.
233.9
Avg Likes/Tweet
117.9
Avg Retweets/Tweet
735,863
Total Likes
371,021
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
3
Median Retweets
197
75th Percentile
117,757
Top Tweet
0.44
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
34.9%
Original
15.7%
Replies
33.2%
Retweets
16.2%
Quotes
0.0%
Threads
0.7%
With Media
49.2%
With Links
11.3%
With #Tags
60.5%
With @Mentions
41.7%
With Emojis
107
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.1%
Weekday Posts
23.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 1,044 retweets (33% 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 3,146 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 is likely interested in lifestyle, relationships, and personal development, given her content themes.
Average
Audience Quality
33.1%
Suspicion Index
42.6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.7%
Empty Bio
47.0%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
67.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
33.6%
<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.
16,037,649
Total Potential Reach
11
Median Follower Reach
58
75th Percentile Reach
2.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
29.6%
Creators
14,787 accounts
23.4%
Consumers
11,698 accounts
47.0%
Dormant
23,515 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):
167
Verified Followers
0.17% of total
13,524
Protected Accounts
13.39% of total
6 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 |
|---|---|---|---|
| @mtvspain | 2,726,386 | Entertainment | TV, música, noticias |
| @Tyson_Fury | 2,248,011 | Boxer | Boxing, Fitness, Motivation |
| @KatiePrice | 1,843,181 | Influencer | YouTube, Subscribe, Channel |
| @thesecret | 1,311,437 | Self-help | self-help, manifestation, spirituality |
| @MTVMusicUK | 1,273,990 | Entertainment | Music, Entertainment, UK |
| @JDaIey | 1,227,527 | - | - |
| @mtvitalia | 1,068,401 | Entertainment | Reality TV, Paramount Plus, NOW TV |
| @FrankKhalidUK | 987,457 | Businessman | Chelsea FC, Philanthropy, Business |
| @APOLONIAPORN | 785,804 | - | - |
| @ITVX | 774,490 | Streaming Service | Streaming, Launching, Support |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,721
Followers With Bio
53,278
Followers Without Bio
47.25%
% With Bio
52.75%
% 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 3,146 analyzed204,171
Combined Engagement
0
Total Likes
204,171
Total Retweets
40,834
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @negativiq: The Amazon rainforest provides 20% of the world's oxygen. People are deliberately starting fires in effort to illegally defo…
RT @MileyCyrus: Is it still Women’s Day? Oh wait ... that’s EVERY. FUCKIN. DAY! 💪 https://t.co/fQm57tREzk
RT @lexcanroar: you're going to see a lot of people complaining about the Black Lives Matter protests today, so just a quick reminder that…
RT @YourAnonNews: The goal of any revolution should be to change the dynamics of a society for the better. Create a society based off of l…
RT @Rylan: I’m gonna get in trouble for this , I’m all for no interfering no outside contact etc .... BUT SHOW THE HOUSEMATES THE FOOTAGE.…
Key Insights & Takeaways
She often shares personal experiences and emotions, which resonate with her followers. Her content includes both personal milestones and emotional reflections, which help build a connection with her audience. She balances personal storytelling with professional branding, showcasing her dual role as an influencer and public figure.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 806,841
- + 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 @SophieKasaei_ reveals an well-established Twitter presence with 806,841 followers. The account demonstrates a content-creator strategy, averaging 351.8 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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