sarah
internet being (not real) | val @version1gg | @yukiaim | 1000rr peak | x _ x ~ @tupperwareplays prom date ~ business: sarah@evolved.gg
31003
Followers
1067
Following
3473
Tweets
370,4
Avg Engagement
41
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sarah_frags'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:2019-01-24
- Verification:Yes
- Location:20 she/they ⚢ 🧛♀️⚧️
Data Summary
- Tweets Analyzed:575
- Avg Likes per Tweet:357,4
- Avg Retweets per Tweet:13,1
- Followers Analyzed:26333
Engagement Analysis
Based on 575 tweetsHer tweets receive a high number of likes and some retweets, indicating a strong level of audience interaction and interest.
357,4
Avg Likes/Tweet
13,1
Avg Retweets/Tweet
205479
Total Likes
7512
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
0
Median Retweets
167
75th Percentile
14821
Top Tweet
11,95
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
16,0%
Original
80,5%
Replies
2,1%
Retweets
1,4%
Quotes
0,0%
Threads
0,0%
With Media
25,9%
With Links
1,9%
With #Tags
82,1%
With @Mentions
9,7%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5,03
Reply/Original Ratio
0,67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66,3%
Weekday Posts
33,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 575 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 12 retweets (2% 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 575 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 26333 followersHer audience appears to be a mix of gaming enthusiasts and casual followers interested in her personal and humorous take on life.
Good
Audience Quality
16,7%
Suspicion Index
18,5%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28,4%
Empty Bio
14,3%
<10 Tweets
5,3%
Mass Following (>2K)
0,0%
New (<90 days)
44,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
73,4%
No URL
8,5%
<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.
37244276
Total Potential Reach
45
Median Follower Reach
177
75th Percentile Reach
6,5%
>1K followers
1,2%
>10K followers
0,3%
>50K followers
0,1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67,4%
Creators
17748 accounts
18,3%
Consumers
4831 accounts
14,3%
Dormant
3754 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):
524
Verified Followers
1.99% of total
3575
Protected Accounts
13.58% 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 |
|---|---|---|---|
| @JohnCena | 14105674 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 1006040 | - | - |
| @QuarterJade | 782702 | Streamer | Video games, streaming, contact |
| @jordanfisher | 500580 | Actor | actor, producer, music maker |
| @ShahZaMk | 482722 | Valorant Player | Valorant, Sentinels, Gaming |
| @Slasher | 386319 | Esports Consultant | esports, gaming, internet culture |
| @mikaya_mia | 382229 | Content Creator | cosplay, content creation, gaming |
| @starsmitten_ | 343229 | Gamer | gaming, esports, content creation |
| @ZexRow | 333426 | Gamer | Gaming, Business, France |
| @jiims | 319607 | Online Seller | Free albums, Gadget, Ayuminati |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
18852
Followers With Bio
7481
Followers Without Bio
71.59%
% With Bio
28.41%
% 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 575 analyzed42690
Combined Engagement
40637
Total Likes
2053
Total Retweets
8538
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
1 pug XDDD https://t.co/LXjFShCVoD
I am going to lose my mind. I am running out of marbles. They are all gone. Where did all my marbles go? Who took my marbles? Riot Games where aRE MY MARBLES https://t.co/x3ROYTaZzl
recents https://t.co/SJChWcuJM6
mid https://t.co/3FaXBfciqg
outskilled truly https://t.co/K0wwCXOqml
Key Insights & Takeaways
Her content often includes humor and personal anecdotes, which resonate well with her followers. She frequently references gaming and online communities, suggesting a strong connection to that space. Her use of emojis and casual language makes her tweets more approachable and engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 31003
- + High community engagement through conversations
- + 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 @sarah_frags reveals an well-established Twitter presence with 31003 followers. The account demonstrates a conversation-first approach, averaging 370,4 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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