shubble ⭐️🌙
shelby | she/they | pale, anxious, and kind of funny | pro gamer | previously legacy verified | https://www.twitch.tv/shubble 🖤🤍💜business:[email protected]
423,638
Followers
1,203
Following
25,622
Tweets
2,664.9
Avg Engagement
578
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @shelbygraces'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:2013-07-16
- Verification:No
- Location:LA
Data Summary
- Tweets Analyzed:3,043
- Avg Likes per Tweet:2,572.4
- Avg Retweets per Tweet:92.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,043 tweetsHer tweets typically receive high engagement, with an average of 48k likes and 2k retweets. This suggests a strong, active community that connects with her content.
2,572.4
Avg Likes/Tweet
92.5
Avg Retweets/Tweet
7,827,736
Total Likes
281,468
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,015
Median Likes
4
Median Retweets
3,245
75th Percentile
73,660
Top Tweet
6.29
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
21.3%
Original
75.8%
Replies
1.6%
Retweets
1.3%
Quotes
0.0%
Threads
0.3%
With Media
13.2%
With Links
0.9%
With #Tags
74.2%
With @Mentions
11.1%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.57
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.9%
Weekday Posts
32.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,043 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 48 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 3,043 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 includes gaming enthusiasts and fans of relatable, candid content. They appreciate her authenticity and the mix of humor and personal reflection.
Average
Audience Quality
32.2%
Suspicion Index
38.5%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.1%
Empty Bio
48.0%
<10 Tweets
1.9%
Mass Following (>2K)
0.0%
New (<90 days)
77.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
34.8%
<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.
21,140,468
Total Potential Reach
3
Median Follower Reach
17
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
28.4%
Creators
14,219 accounts
23.6%
Consumers
11,780 accounts
48.0%
Dormant
24,001 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):
149
Verified Followers
0.15% of total
11,237
Protected Accounts
11.24% 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 |
|---|---|---|---|
| @McDonalds | 4,766,507 | Fast Food | Fast Food, Grimace, Friendship |
| @KarlJacobs_ | 4,720,730 | Content Creator | Comedy, Content Creation, Business |
| @GeorgeNotFound | 4,044,386 | Content Creator | Gaming, Content Creation, Comedy |
| @Ranboosaysstuff | 3,123,221 | Content Creator | Gaming, Streaming, Business |
| @jschlatt | 3,107,486 | Content Creator | Business, Entrepreneurship, Comedy |
| @TheVampsCon | 1,737,086 | Musician | Diary, Strange thoughts |
| @Slimecicle | 1,639,862 | Gamer | Gaming, Influencing, Sludge |
| @SmoshIan | 1,622,228 | Author | Fatherhood, Author, Comedy |
| @kurtisconner | 1,047,025 | Comedian | comedy, email, website |
| @neimki | 1,008,377 | Artist | art, info, alt account |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,558
Followers With Bio
36,442
Followers Without Bio
63.56%
% With Bio
36.44%
% 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 3,043 analyzed299,802
Combined Engagement
245,040
Total Likes
54,762
Total Retweets
59,960
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
two cats https://t.co/NwJkCipEyc
coming soon :) https://t.co/sU9JB0HCWa
even in the short amount of time i got to know him, it was clear how great of a friend he was and how much of an inspiration he was for others, and that will remain true forever rip techno ❤️
ummmm i’m 29 now 😳 https://t.co/OvutL2sPBd
RT @WilburSoot: So long, blood god No-one could do it like you. I miss you everyday ❤️ https://t.co/mE0ZQ4BPWo
Key Insights & Takeaways
She uses personal anecdotes to build connection with her audience Her gaming career is a central part of her identity and content She maintains a balance between humor and vulnerability in her tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 423,638
- + 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 @shelbygraces reveals an exceptionally influential Twitter presence with 423,638 followers. The account demonstrates a conversation-first approach, averaging 2,664.9 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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