Ruby Soho
Destination Unknown
397,754
Followers
843
Following
3,630
Tweets
479.6
Avg Engagement
966
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @realrubysoho'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:2012-03-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:381.3
- Avg Retweets per Tweet:98.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,192 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The average engagement per tweet is notably higher than the average for most accounts.
381.3
Avg Likes/Tweet
98.4
Avg Retweets/Tweet
1,217,036
Total Likes
313,935
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
10
Median Retweets
187
75th Percentile
31,819
Top Tweet
1.21
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
17.2%
Original
14.4%
Replies
60.8%
Retweets
7.6%
Quotes
0.0%
Threads
0.8%
With Media
62.5%
With Links
39.2%
With #Tags
86.0%
With @Mentions
17.8%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.84
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.8%
Weekday Posts
24.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 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 1,941 retweets (61% 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 3,192 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 followersThe audience likely includes individuals interested in personal development, success stories, and motivational content. They are likely to be active on social media and engaged with inspirational messages.
Average
Audience Quality
30.6%
Suspicion Index
35.3%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.5%
Empty Bio
36.8%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
69.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
24.0%
<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.
21,708,830
Total Potential Reach
21
Median Follower Reach
77
75th Percentile Reach
2.3%
>1K followers
0.3%
>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).
37.5%
Creators
18,746 accounts
25.7%
Consumers
12,839 accounts
36.8%
Dormant
18,415 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):
662
Verified Followers
0.66% of total
8,878
Protected Accounts
8.79% 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 |
|---|---|---|---|
| @bryandanielson | 4,536,367 | Professional Wrestler | Professional Wrestling, Environmentalism, Books |
| @JRsBBQ | 1,739,038 | Wrestling Commentator | Wrestling, Podcasting, BBQ |
| @BQQuinn | 1,023,165 | Comedian | Theremin, Impractical Jokers, Tell Em Steve Dave |
| @AEW | 915,944 | Wrestling | Wrestling, TNT, YouTube |
| @NOH8Campaign | 801,627 | Activism | equality, bullying, discrimination |
| @ToBeMiro | 797,166 | Influencer | Forgiveness, Miro |
| @Sting | 675,677 | Wrestler | Wrestling, Author, Entertainment |
| @unkonfined | 658,481 | Influencer | - |
| @CalvinHelin | 585,149 | Author | empowerment, responsibility, self-reliance |
| @Loudwire | 540,516 | Music Journalist | Rock, Metal, Subculture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,686
Followers With Bio
41,313
Followers Without Bio
59.1%
% With Bio
40.9%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,192 analyzed138,188
Combined Engagement
129,431
Total Likes
8,757
Total Retweets
27,638
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
She DID IT!!!!!!!!! 😭 #WATCHHER
Smiling from ear to ear right now. 💰
6 & 25 ❤️😭
https://t.co/C1431GqLqw
The Runaway is Home 🖤 @AEW https://t.co/M9Y56eKQa0
Key Insights & Takeaways
The account frequently shares personal achievements and milestones, which likely drive engagement. The use of emojis and hashtags suggests a focus on emotional connection and visibility. The account appears to be active and consistent in its posting schedule.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 397,754
- + 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 @realrubysoho reveals an well-established Twitter presence with 397,754 followers. The account demonstrates a content-creator strategy, averaging 479.6 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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